Tech Jobs in Peninsula
The Peninsula remains a dynamic epicenter for tech innovation, offering a robust job market for skilled professionals. With 18,951 tech job openings currently available, cities like Palo Alto, Mountain View, and Menlo Park attract top talent seeking impactful roles. This region fosters a unique blend of established giants and groundbreaking startups, driving continuous demand across various specializations. The concentration of venture capital and research institutions ensures a constant flow of new projects and career advancement opportunities.
Key industries flourishing across the Peninsula include software development, artificial intelligence, cloud computing, and biotechnology. Major employers like Meta in Menlo Park, Google in Mountain View, and Oracle in Redwood Shores anchor a vast ecosystem. Beyond these giants, a vibrant startup scene thrives, particularly around Sand Hill Road, focusing on fintech, health tech, and enterprise SaaS solutions. South San Francisco specifically boasts a strong presence of biotech and life sciences firms, indicating diverse opportunities beyond traditional software roles.
Navigating the Peninsula's high cost of living, particularly for housing in areas like Palo Alto or San Mateo, makes transparent salary information indispensable. Understanding a role's compensation upfront allows job seekers to accurately assess their financial viability and negotiate effectively. JobTransparency.com empowers candidates to compare expected earnings against regional expenses, ensuring they pursue roles that align with their financial goals in this competitive economic landscape. This clarity is crucial for making confident, informed career decisions.
Associate Scientist I/II, Automation Operations
Company: Insitro
Location: Peninsula
Posted Aug 07, 2023
For more information on insitro, please visit www.insitro.com. Since launching in 2018, insitro has raised over $700 million from top tech, biotech and crossover investors, and from collaborations with pharmaceutical partners. insitro is advancing a wholly owned and partnered pipeline of insights and therapeutics in neuroscience, oncology and metabolism. These powerful models rely on extensive biological and computational infrastructure and allow insitro to advance novel targets and patient biomarkers, design therapeutics and inform clinical strategy. This role provides the opportunity to collaborate with a highly talented multidisciplinary team as you develop cutting-edge activities in a state-of-the-art environment with the aim to accelerate machine learning based drug discoveries.This role requires someone who is collaborative, organized, technically proficient, can multi-task, enjoys being part of a team, and thrives solving issues in a timely manner. Weekend work will be required. This is an excellent opportunity for someone passionate about therapeutic discovery and making an impact to patients!Your primary duties will be to: Operate complex and integrated robotic systems to manage iPSC production through an automated workflowIdentify and report any workflow and production issues.Perform various lab procedures according to insitro’s operating protocols and safety standards.Maintain operational records through various LIMS platformsContribute ideas and feedback to continuously improve new or existing processesAbout You Experience working with automation equipment (Hamilton liquid handlers, cell imagers…)Demonstrate willingness to learn in a fast-paced production environmentExcited about process development and optimizationFamiliarity with aseptic techniques and operating at high standards of lab safety.Proficient computer skills and ability to learn new software or custom UIsComfortable working in collaborative and dynamic teamsPassion for making a difference in the world Comfortable working weekendsBenefits at insitroExcellent medical, dental, and vision coverage; insitro pays 100% of premiums for employeesExcellent mental health and well-being supportOpen vacation policyAccess to free onsite baristas and cafe with daily lunch and breakfastAccess to free onsite fitness centerCommuter benefitsPaid parental leaveCompetitive pay and 401(k) matchingCompensation & Benefits at insitro Our target starting salary for successful US-based applicants for this role is $70,000 - $100,000 To determine starting pay, we consider multiple job-related factors including a candidate’s skills, education and experience, market demand, business needs, and internal parity. We may also adjust this range in the future based on market data. This role is eligible for participation in our Annual Performance Bonus Plan (based on company targets by role level and annual company performance) and our Equity Incentive Plan, subject to the terms of those plans and associated policies. In addition, insitro also provides our employees:401(k) plan with employer matching for contributionsExcellent medical, dental, and vision coverage (insitro pays 100% of premiums for employees), as well as mental health and well-being supportOpen, flexible vacation policyPaid parental leaveQuarterly budget for books and online courses for self-developmentSupport to occasionally attend professional conferences that are meaningful to your career growth and developmentNew hire stipend for home office setupMonthly cell phone & internet stipendAccess to free onsite baristas and cafe with daily lunch and breakfastAccess to free onsite fitness centerCommuter benefitsAbout insitro insitro is a drug discovery and development company using machine learning (ML) and data at scale to decode biology for transformative medicines. At the core of insitro’s approach is the convergence of in-house generated multi-modal cellular data and high-content phenotypic human cohort data. We rely on these data to develop ML-driven, predictive disease models that uncover underlying biologic state and elucidate critical drivers of disease. This role will primarily focus on supporting the day-to-day activities for the set up, operation, and maintenance of our automated cell line management systems. You will be working on many aspects of iPSC technology such as iPSC automation, cell line maintenance, and differentiation. To accomplish that, we are putting together a team of life scientists with cutting-edge cellular and technological expertise. As an Associate Scientist, you will be responsible for the operation and execution of workflows on our automation platforms.
Director of Engineering (Full Time; Multiple Openings)
Company: RingCentral
Location: Peninsula
Posted Aug 06, 2023
*** Documentary verification of education/experience required ***SALARY/RATE OF PAY: $211,000 - $256,000 per yearJOB LOCATION: Belmont, CA Within the foregoing parameters, any suitable combination of education, training and experience is acceptable. Bachelor's degree or equivalent in Mathematics, Computer Information Systems or a related field plus five (5) years of related experience, is required. JOB DESCRIPTION: Responsible for leading and managing the next generation of infrastructure to allow us to accelerate feature development across our user facing Analytics product line.DUTIES: Collaborating with internal teams to develop long term strategic technology roadmaps; Building and nurturing a world-class engineering team that is truly distributed to assure proper alignment within our teams; Leading, motivating and mentoring the engineering teams to deliver products that are widely adopted for the unique needs of our platforms and clients; Guiding the development of technical solutions that are built for scale, performance and compliance calls to deliver and shape best practices across RingCentral; Evangelizing the technical infrastructure to drive adoption across the organization to provide support for our infrastructure; Running services in cloud infrastructure adopting the best of breed technologies.SKILLS/TOOLS: Experience with Google Cloud, Kubernetes, Kafka, functional programming language, designing software systems, meeting system compliance requirements, architecting reporting and analytics systems, project management, systems w/five 9 reliability, and managing personnel is required.EDUCATION/EXPERIENCE/QUALIFICATIONS: U.S. Master's degree in Mathematics, Computer Information Systems or a related field, or foreign equivalent, plus two (2) years of related experience, or U.S.
Staff Software Engineer — AI/ML
Company: Snorkel AI
Location: Peninsula
Posted Aug 06, 2023
Snorkel AI prohibits discrimination and harassment of any type on the basis of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local law. All employment is decided on the basis of qualifications, performance, merit, and business need. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. We offer comprehensive medical, dental, and vision plans for Snorkelers and their families, plus a yearly wellness stipend. Learn more about these benefits and more — like our workstation setup allowance — on our Careers page. Snorkel AI is proud to be an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. At Snorkel AI, we actively work to create an environment that values end-to-end ownership, diverse forms of impact, and opportunities for personal growth. Snorkelers are supported by an amazing team and an amazing set of benefits. Please contact us to request accommodation. Snorkel AI embraces diversity and provides equal employment opportunities to all employees and applicants for employment. You’ll work closely with other engineers, product managers, and field team members to ensure that Snorkel Flow users working with different data modalities (e.g. large language models)Experience developing enterprise software products for machine learning and/or data science applicationsThe salary range for our Tier 1 locations of San Francisco, Seattle, Los Angeles & New York is $191,000.00 - $225,000.00.Be Your Best At SnorkelSnorkel AI is on a mission to make machine learning practical for everyone, and it starts with building a team that welcomes, represents and gives opportunity to all. text, PDF, image) and different use cases can build high quality training datasets, integrate with the latest foundation model technology to build and adapt models, and take advantage of state-of-the-art error analysis and development automation. Main ResponsibilitiesOwn the architecture, design, development, and operations of large-scale systems designed for AI/ML tasks including distributed compute systems, data management systems, data engineering workflow systems, and end user experiencesRecognize and act on opportunities to integrate the latest foundation model and related technologies to power user workflowsPrototype, optimize, and maintain scalable back-end services that will power new ML and foundation model development workflowsDesign extensible and testable interfaces between internal services including the underlying storage and data modelsBe an engaged team player in a customer-focused cross-functional environment where you will feel excited to take on whatever is most impactful for the company and productWork a hybrid schedule with one or two days per week in our Redwood City HQ and work remotely with "No Meeting" Tuesdays and ThursdaysRequired Qualifications4+ years experience in delivering distributed and ML systems and services in a production setting for cloud-native applicationsExperience with distributed compute frameworks and deep learning frameworksAbility to design and build efficient scalable data storage, compute, and retrieval systems for AI/ML tasksStrong communication and coding skills with emphasis on designing for scale and robustnessExperience owning the delivery of large multi-person projectsPreferred Qualifications8+ years of professional software engineering experienceExperience with architecting and developing production web-scale systems (monitoring, telemetry, performance, reliability, triage and debug)Strong development and debugging skills in PythonExperience working with foundation models (e.g.
Head of Human Resources
Company: Glean
Location: Peninsula
Posted Aug 07, 2023
We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race. Ensure HR policies, practices, and procedures are compliant with local, state, and federal laws. Compensation offered will be determined by factors such level, job-related knowledge, skills, and experience. Develop and implement strategies to promote employee engagement, satisfaction, and well-being. Oversee record-keeping, documentation, and reporting processes related to HR activities.How Do I Apply?If you are passionate about shaping an exceptional workplace culture, driving growth, and nurturing talent, we would love to hear from you. Address employee concerns, grievances, and conflicts in a fair and timely manner.HR Compliance: Stay up to date with relevant employment laws and regulations. Certain roles may be eligible for variable compensation, equity, and benefits.We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. Provide guidance and support to managers on performance evaluations, goal-setting, and feedback processes. We're committed to an inclusive and diverse company. Conduct regular assessments of HR policies, procedures, and programs to ensure compliance and effectiveness.Performance Management: Design and implement a comprehensive performance management system that aligns with company goals and promotes continuous improvement.
(Senior) Director, Imaging Machine Learning
Company: Insitro
Location: Peninsula
Posted Aug 06, 2023
For more information on insitro, please visit www.insitro.com. Since launching in 2018, insitro has raised over $700 million from top tech, biotech and crossover investors, and from collaborations with pharmaceutical partners. To determine starting pay, we consider multiple job-related factors including a candidate’s skills, education and experience, the level at which they are actually hired, market demand, business needs, and internal parity. insitro is advancing a wholly owned and partnered pipeline of insights and therapeutics in neuroscience, oncology and metabolism. You will work closely with a very talented team, learn a broad range of skills, and help shape insitro’s culture, strategic direction, and outcomes. in machine learning, computer vision, computer science, or a related discipline, or equivalent practical experience5+ years experience working in industry and managing projects and deliverablesExperience and demonstrated ability to build and lead teams of engineers and scientists, including recruiting and mentoring team membersDemonstrated ability to architect and build reusable code infrastructure and work with engineering teamsDemonstrated ability to use and develop cutting edge computer vision methods inspired by real problemsDemonstrated ability to work with and analyze medical imaging data (e.g., histopathology), cell imaging data, or ideally bothExperience in modern representation learning topics such as self-supervised learning, transfer learning, multi-modal modeling, few-shot learning, robustness and interpretability, uncertainty estimation, and moreExperience using modern deep learning frameworks (PyTorch, Jax, etc)Proficiency in PythonAbility to communicate effectively and collaborate with people of diverse backgrounds and job functionsPassion for making a difference in the world Nice to HavePublication record in high profile venues in machine learning, computer vision, or life sciencesHigh profile venues in machine learning, computer vision, or life sciencesFamiliarity with cloud computing services (e.g., AWS or GCP)Exposure to basic concepts in biology or medicineProficiency in scientific engineering and modern engineering practiceCompensation & Benefits at insitroOur target starting salary for successful US-based applicants for this role is $235,000 - $300,000. We rely on these data to develop ML-driven, predictive disease models that uncover underlying biologic state and elucidate critical drivers of disease. These powerful models rely on extensive biological and computational infrastructure and allow insitro to advance novel targets and patient biomarkers, design therapeutics and inform clinical strategy. At the core of insitro’s approach is the convergence of in-house generated multi-modal cellular data and high-content phenotypic human cohort data. We may also adjust this range in the future based on market data. This role is eligible for participation in our Annual Performance Bonus Plan (based on company targets by role level and annual company performance) and our Equity Incentive Plan, subject to the terms of those plans and associated policies.In addition, insitro also provides our employees:401(k) plan with employer matching for contributionsExcellent medical, dental, and vision coverage (insitro pays 100% of premiums for employees), as well as mental health and well-being supportOpen, flexible vacation policyPaid parental leaveQuarterly budget for books and online courses for self-developmentSupport to occasionally attend professional conferences that are meaningful to your career growth and developmentNew hire stipend for home office setupMonthly cell phone & internet stipendAccess to free onsite baristas and cafe with daily lunch and breakfastAccess to free onsite fitness centerCommuter benefitsLI-SF1About insitro insitro is a drug discovery and development company using machine learning (ML) and data at scale to decode biology for transformative medicines.
Product Manager, Enterprise Products
Company: Meta
Location: Peninsula
Posted Aug 07, 2023
Additionally, Meta participates in the E-Verify program in certain locations, as required by law We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view Meta's Pay Transparency Policy, Equal Employment Opportunity is the Law notice, and Notice to Applicants for Employment and Employees by clicking on their corresponding links. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. We may use your information to maintain the safety and security of Meta, its employees, and others as required or permitted by law. identity management, provisioning, observability)Experience developing enterprise software, technologies and platformsExperience with Machine Learning productsExperience driving innovation in scaled environments EOE Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. You may view our Equal Employment Opportunity notice here. Required Skills Product Manager, Enterprise Products Responsibilities: Lead a team to identify and advocate for the most impactful product opportunitiesTranslate opportunities into a compelling product vision, strategy, and roadmap in the context of broader organizational strategies and goals.Understand Meta's strategic and competitive position and deliver products that build Meta's competitive advantage.Drive product development with teams of world-class engineers and other cross-functional colleagues, while maintaining team healthDeeply understand Meta's business needs to inform your product strategy and tacticsDefine key metrics that determine the success your products and develop a deep understanding of your product's performanceDrive decision-making through user insights, quantitative analysis and A/B testing Minimum Qualification Minimum Qualifications: 10+ years experience in a product management role or relevant experienceExperience of going through a full product cycle, from crafting well researched product roadmaps and prioritization to launch and post launch executionExperience in delivering products with cross-functional teamsExperience in producing convincing product narratives for executive and cross-functional audiencesGreat attention to detail coupled with the experience to see the bigger picture to create extreme clarity for the team and your partnersExperience with conducting and utilizing customer research, market data and product analytics to make hard prioritization decisionsBachelor's degree (or foreign degree equivalent) in Computer Science, Engineering, Information Systems, Analytics, Mathematics, Physics, Applied Sciences, or a related field Preferred Qualification Preferred Qualifications: Experience working and influencing effectively cross-functionally and building relationships across teams, including with people outside the direct reporting chain and senior executivesKnowledge of Privacy regulations and compliance approachesBackground in security-focused products (e.g. We are looking for entrepreneurial Product Managers to help innovate and execute product initiatives across the company.This role is with Enterprise Products, where you will build industry-leading business software to help accelerate Meta's success. Summary Meta Product Managers work with cross-functional teams of engineers, designers, data scientists and researchers to build products.
(Senior) Machine Learning Research Engineer, Healthcare Data II - Remote
Company: Freenome
Location: Peninsula
Posted Aug 06, 2023
Freenome does not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.Applicants have rights under Federal Employment Laws. Family & Medical Leave Act (FMLA)Equal Employment Opportunity (EEO)Employee Polygraph Protection Act (EPPA)LI-remote You will also be eligible to receive pre-IPO equity, cash bonuses, and a full range of medical, financial, and other benefits dependent on the position offered. Please note that individual total compensation for this position will be determined at the Company’s sole discretion and may vary based on several factors, including but not limited to, location, skill level, years and depth of relevant experience, and education. This role will partner closely with our clinical and product organizations. You are passionate about building ML pipelines and training ML models with scalability in mind, and you will have a significant impact on the continued growth of a high profile technology organization that is changing the landscape on early cancer detection.The role reports to our Senior Manager of Machine Learning Research Engineering.What you’ll do:Lead the engineering direction and development of machine learning modeling pipelines for electronic healthcare recordsOptimize existing pipelines to ensure high-performance data transformation, preprocessing, and ML model training, while addressing challenges related to scalability and memory managementPartner closely with the risk modeling scientists, biostatisticians, clinical and business specialists to translate algorithms into production-grade machine learning pipelinesCollaborate with platform engineering teams to interface with the infrastructure to build and train machine learning modelsTake a mindful, transparent, and humane approach to your workMust haves:MS or equivalent research experience in a relevant, quantitative field such as Computer Science (AI or ML emphasis), Statistics, Mathematics, Engineering, or a related field (PhD preferred)5+ years of post-MS industry experience working on ML and software engineeringStrong knowledge of machine learning fundamentalsExpertise in building ML pipelines for preprocessing input data and training ML models in production environmentsPractical and theoretical understanding of models and algorithms: Decision trees, neural networks; boosting and model aggregation; clustering and mixture modeling, etc.Proficiency in one or more ML frameworks: Pytorch, XGBoost, Jax, etc.Excellent ability to clearly communicate across disciplines and work collaboratively towards next steps in experimental iterationsA high degree of self-awarenessNice to havesDeep domain-specific experience in electronic healthcare dataExperience in taking proof of concept implementation and scaling them to robust ML engineering pipelinesExperience in distributed model training using Pytorch and/or RayExperience in a production software engineering environment, including the use of automated regression testing, version control, and deployment systemsExperience with containerized cloud computing environments, such as Docker in GCP or AWSExperience with data pipelines, such as Ray, Flyte, Kafka, Spark, Airflow, Argo, Hadoop, or FlinkBenefits and additional information:The US target range of our base salary for new hires is $157,250 - $240,000. Our first screening test is for colorectal cancer (CRC) and advanced adenomas, and it’s just the beginning. Founded in 2014, Freenome has ~500 employees and more than $1.1B in funding from key investors, such as the American Cancer Society, Andreessen Horowitz, Anthem Blue Cross, Bain Capital, Colorectal Cancer Alliance, DCVC, Fidelity, Google Ventures, Kaiser Permanente, Novartis, Perceptive Advisors, RA Capital, Roche, Sands Capital, T. Rowe Price, and Verily. At Freenome, we aim to impact patients by empowering everyone to prevent, detect, and treat their disease. This person is responsible for leading the model engineering efforts for predictive and prescriptive modeling of disease risks, interventions, and other outcomes from large sets of healthcare data. Freenomers bring their diverse experience, expertise, and personal perspective to solve problems and push to achieve what’s possible, one breakthrough at a time.About this opportunity:At Freenome, we are seeking a Senior Machine Learning Research Engineer to help grow the Freenome Computational Science team. We invite you to check out our career page @ https://careers.freenome.com/ for additional company information. Freenome is proud to be an equal opportunity employer and we value diversity. A “Freenomer” is a determined, mission-driven, results-oriented employee fueled by the opportunity to change the landscape of cancer and make a positive impact on patients’ lives. This, together with our high-performing culture of respect and cross-collaboration, is what motivates us to make every day count. Become a FreenomerDo you have what it takes to be a Freenomer? This is why Freenome is building the clinical, economic, and operational evidence to drive cancer screening and save lives.
Senior Software Engineer, ML Platform
Company: SambaNova Systems
Location: Peninsula
Posted Aug 07, 2023
Investors include SoftBank Vision Fund 2, funds and accounts managed by BlackRock, Intel Capital, GV, Walden International, Temasek, GIC, Redline Capital, Atlantic Bridge Ventures, Celesta, and several others. All qualified applicants will receive consideration for employment without regard basis of age (40 and over), color, disability, gender identity, genetic information, marital status, military or veteran status, national origin/ancestry, race, religion, creed, sex (including pregnancy, childbirth, breastfeeding), sexual orientation, and any other applicable status protected by federal, state, or local laws.Customers turn to SambaNova to quickly deploy state-of-the-art AI capabilities to meet the demands of the AI-enabled world. Our flagship offering, SambaNova Suite™, provides the most accurate generative AI models, optimized for enterprise and government organizations, deployed on-premises or in the cloud, and adapted with an organization’s data for greater accuracy Headquartered in Palo Alto, California, SambaNova Systems was founded in 2017 by industry luminaries, that include hardware and software design experts from Sun/Oracle and Stanford University. Follow SambaNova Systems on LinkedIn. We also offer Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life and AD&D insurance plans in addition to Flexible Spending Account(FSA) options like Health Care, Limited Purpose, and Dependent Care. Visit us at sambanova.ai or contact us at [email protected]. Individual pay within the range will depend on a number of factors, including a candidate’s job-related qualifications, skills, competencies, experience, and location.Benefits SummarySambaNova offers a competitive total rewards package, including the base salary plus equity and benefits. Our library of well-being benefits includes a full subscription to Headspace, access to One Medical, counseling services with an Employee Assistance Program, and much more.LI-TD1Submission GuidelinesPlease note that in order to be considered an applicant for any position at SambaNova Systems you must submit an application form for each position for which you believe you are qualified. If you are a new, recent (within the last two years), or upcoming college graduate and are interested in opportunities with SambaNova Systems, please apply through our University job listings.EEO PolicySambaNova Systems is an Equal Opportunity/Affirmative Action Employer. This range is based on role, level, and location and reflects the salary target for new hires in the US. Our purpose-built enterprise-scale AI platform is the technology backbone for the next generation of AI computing.
Software Engineer — AI/ML
Company: Snorkel AI
Location: Peninsula
Posted Aug 06, 2023
Snorkel AI prohibits discrimination and harassment of any type on the basis of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local law. All employment is decided on the basis of qualifications, performance, merit, and business need. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. We offer comprehensive medical, dental, and vision plans for Snorkelers and their families, plus a yearly wellness stipend. Learn more about these benefits and more — like our workstation setup allowance — on our Careers page. Snorkel AI is proud to be an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. At Snorkel AI, we actively work to create an environment that values end-to-end ownership, diverse forms of impact, and opportunities for personal growth. Snorkelers are supported by an amazing team and an amazing set of benefits. Please contact us to request accommodation. Snorkel AI embraces diversity and provides equal employment opportunities to all employees and applicants for employment. You’ll work closely with other engineers, product managers, and field team members to ensure that Snorkel Flow users working with different data modalities (e.g. large language models)Experience developing enterprise software products for machine learning and/or data science applicationsThe salary range for our Tier 1 locations of San Francisco, Seattle, Los Angeles & New York is $191,000.00 - $225,000.00.Be Your Best At SnorkelSnorkel AI is on a mission to make machine learning practical for everyone, and it starts with building a team that welcomes, represents and gives opportunity to all. text, PDF, image) and different use cases can build high quality training datasets, integrate with the latest foundation model technology to build and adapt models, and take advantage of state-of-the-art error analysis and development automation. Main ResponsibilitiesOwn the architecture, design, development, and operations of large-scale systems designed for AI/ML tasks including distributed compute systems, data management systems, data engineering workflow systems, and end user experiencesRecognize and act on opportunities to integrate the latest foundation model and related technologies to power user workflowsPrototype, optimize, and maintain scalable back-end services that will power new ML and foundation model development workflowsDesign extensible and testable interfaces between internal services including the underlying storage and data modelsBe an engaged team player in a customer-focused cross-functional environment where you will feel excited to take on whatever is most impactful for the company and productWork a hybrid schedule with one or two days per week in our Redwood City HQ and work remotely with "No Meeting" Tuesdays and ThursdaysRequired Qualifications4+ years experience in delivering distributed and ML systems and services in a production setting for cloud-native applicationsExperience with distributed compute frameworks and deep learning frameworksAbility to design and build efficient scalable data storage, compute, and retrieval systems for AI/ML tasksStrong communication and coding skills with emphasis on designing for scale and robustnessExperience owning the delivery of large multi-person projectsPreferred Qualifications8+ years of professional software engineering experienceExperience with architecting and developing production web-scale systems (monitoring, telemetry, performance, reliability, triage and debug)Strong development and debugging skills in PythonExperience working with foundation models (e.g.
Sr. Manager, PC Planning and Analysis
Company: PlayStation
Location: Peninsula
Posted Aug 07, 2023
All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy or maternity, trade union membership or membership in any other legally protected category.We strive to create an inclusive environment, empower employees and embrace diversity. Excel, Tableau, SQL) to extract, manipulate and present data effectively. Advanced Excel skills including pivot tables, xlookups, index+match, charts and graphs.Working knowledge of MS Office Tools (Word, PowerPoint)Passion for the video game or entertainment industries and a deep understanding of gaming trends and consumer behavior are a plus.LI-BR1At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location.Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. Your team will develop robust sales forecasts, dynamic budgeting models and optimized promotion strategies to maximize revenue and profitability across multiple product lines and regions.Reporting and Presentations - Generate comprehensive reports and presentations for executive leadership, highlighting sales performance, market insights and recommended actions.Market and Growth Analysis, Insights and Recommendations – Drive analysis of sales data, market trends, channel performance and consumer behavior to identify growth opportunities, evaluate performance, and recommend strategic actions.PC Processes and Systems - Evaluate and enhance sales processes, systems and tools, ensuring efficient and accurate sales data analysis and reporting.Ad Hoc Analysis - Drive ad-hoc analysis & insight generation as required.Market Insights – Stay abreast of industry developments, competitor activities and market dynamics to proactively adapt sales strategies and capitalize on emerging opportunitiesWhat we’re looking for:Bachelor’s degree in related field or equivalent experience, MBA or equivalent is preferredMinimum of 5 years experience in in sales planning, financial analysis or business intelligence preferably in the gaming, technology or entertainment industries.Minimum of 2 years experience managing, training and developing a team of in sales planners, financial analysts or business intelligence analysts.Strong leadership and people management skills, with a demonstrated ability to inspire, mentor and develop high performing teamsEntrepreneurial, with high tolerance for ambiguity and complexity, and efficient with limited resourcesAbility and desire to create strong relationships and collaborate at all levels of the organizationStrong communicator, comfortable with senior interaction (director and above), challenge and debateExpertise in using data analysis tools and software (e.g. Leveraging your deep expertise in sales forecasting, financial analysis and market research, you will identify growth opportunities, optimize pricing and promotion strategies and provide strategic insights to senior stakeholders. Click here to learn more.The estimated base pay range for this role is listed below.$160,700—$241,100 USDEqual Opportunity Statement:Sony is an Equal Opportunity Employer. This is an exceptional opportunity to contribute to PlayStation’s continued success in the PC space at a senior manager level.What you’ll be doing:Team Leadership – Lead and manage the Sales Planning & Analysis team, providing guidance, mentorship and support to ensure the achievement of department goals.PC Forecasting and Performance - Lead hundreds of millions in PC revenue forecasts. Reporting to the Sr. Director, PC Strategy and Planning and working in partnership across the PC and GSBO organizations, you will lead a team of talented professionals responsible for analyzing sales data, monitoring market trends and developing effective sales strategies. Manager, PC Planning and AnalysisSan Mateo, CA (Collab)Role overview:As the Senior Manager, PC Planning and Analysis you will be a key driver of our sales success and play a crucial role in shaping strategy for PlayStation’s fast growing PC business. This role also may be eligible for a bonus package.
Product Design Engineer
Company: Mill
Location: Peninsula
Posted Aug 06, 2023
Otherwise, please prepare to provide verification of your vaccination. A wide range of factors are considered in making compensation decisions, including but not limited to skill sets, market conditions, experience and training, licensure and certifications, and business and organizational needs. If you need to discuss accommodations or better understand this requirement, please let me know. It’s gross, heavy, and our least favorite chore. Plus, our trash really stinks. Of course we are open to discussing accommodations where legally required, such as for medical or religious reasons. Consumer Electronics or Home Appliance industries are preferredExpertise in CAD modeling, experience with NX is preferredDetailed knowledge of plastic injection molding and metal part manufacturing processes (die casting, sheet metal, investment casting, CNC machining) along with other fabrication methods for high volume productionStrong working knowledge of mechanisms, background in mechatronics preferredMastery of Design for Manufacturing (DFM), Design for Assembly (DFA), Tolerance Analysis, GD&T Experience performing simulations (FEA, Thermal, CFD) and rapid prototyping to validate designsHas a track record of taking multiple products from concept phase to mass production Demonstrated ability to apply engineering fundamentals to find simple solutions to complex problemsSelf driven with strong organization and communication skillsAbility to travel up to 10%The estimated base salary range for this position is $137k to $180k, which does not include the value of benefits or a potential equity grant. You will work closely with other members of the PD team as well as cross functional groups including Industrial Design, Electrical Engineering, Reliability, Product Management and Operations.Objectives of this role:Design mechanical systems to balance complex tradeoffs between cross functional teams including Industrial Design, Electrical Engineering, Reliability, Product Management and OperationsGenerate detailed CAD models, specifications and documentationPrototype, test and analyze component and system designs Validate part and system performance and iterate designs to achieve targetsCreate predictive models and correlate with real world performancePerform root cause analysis of performance failures and drive corrective actionsWork directly with the Operation team, suppliers and CM partners to ensure parts are properly manufactured and assembledMentor and support engineers earlier in their careerQualificationsBS degree in mechanical engineering or equivalent7+ years experience working in mechanical product design designing multiple parts in complex systems. At Mill we are striving to build a better environment for all, as we take on climate and kitchen change.Job DescriptionAs a member of Mill’s Product Design Engineering team you will be part of a cross functional team to design, validate and ship Mill’s hardware products. At Mill, it is not typical for an individual to be hired at or near the top of the range for their role.For your awareness, we have been requiring that all employees and visitors who come into our offices verify that they are fully vaccinated with respect to COVID-19.
Sr. Data Engineer
Company: Stanford Health Care
Location: Peninsula
Posted Aug 06, 2023
Accordingly, SHC does not discriminate against any person on the basis of race, color, sex, sexual orientation or gender identity and/or expression, religion, age, national or ethnic origin, political beliefs, marital status, medical condition, genetic information, veteran status, or disability, or the perception of any of the above. People of all genders, members of all racial and ethnic groups, people with disabilities, and veterans are encouraged to apply. Base Pay Scale: Generally starting at $76.84 - $101.82 per hour The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to, internal equity, experience, education, specialty and training. The individual will design, implement, and support data processing software and infrastructure. Simply put, we do what it takes to enable and empower patients and families to focus on health, healing and recovery. Education Qualifications Bachelor's or Master's degree in Computer Science, Engineering, or related, or equivalent working experience Experience Qualifications 5+ years experience in building data infrastructure for analytics teams, including ability to write code in SQL, R, or Python for processing large datasets in distributed cloud environments Required Knowledge, Skills and Abilities Experience with cloud deployment strategies and CI/CD.Experience building and working with data infrastructure in a SaaS environment.Experience overseeing, developing or implementing machine learning operations (MLOps) processes.Experience mentoring junior engineers and enforcing best practices around code quality.Knowledge of multiple programming languages, commitment to choosing languages based on project-specific requirements, and willingness to learn new programming languages as necessary.Knowledge of resource management and automation approaches such as workflow runners.Collaborative mentality and excitement for iterative design working closely with the Data Science team. Elucidating these requirements will require training, developing, and validating researcher-built or vendor provided machine learning algorithms on hospital data as well as working with other members of the data science team.Understand data flows among the SHC applications and use this knowledge to make recommendations and design decisions for languages, tools, and platforms used in software and data projects.Troubleshoot and debug environment and infrastructure problems found in production and non-production environments for projects by the Data Science Team.Work with other groups at SHC and the Technology and Digital Solutions (TDS) group to ensure servers and system maintenance based on updates, system requirements, data usage, and security requirements. Candidates for employment and existing employees must adopt and execute C-I-CARE standards for all of patients, families and towards each other. Reporting to the Data Science Director and working closely with Stanford Medicine's inaugural Chief Data Scientist, this role will be responsible for maintaining compute frameworks, analysis tooling, and/or model implementations used or created by the team. This pay scale is not a promise of a particular wage.