Embrace Discovery Jobs

Positions 164,329 Updated daily

Embrace Discovery roles sit at the intersection of data science, IoT, and domain expertise, driving breakthroughs in pharma, energy, and consumer research. The surge in real‑time sensor data and AI‑driven analytics has pushed companies to hire talent that can translate raw streams into market‑shaping insights, creating a high‑demand landscape for experts who can build end‑to‑end discovery pipelines.

Common positions include Discovery Data Scientist, Platform Engineer, Edge‑Analytics Architect, Discovery Analyst, and Product Lead for discovery solutions. Typical responsibilities cover designing machine‑learning models that sift through terabytes of sensor data, building scalable streaming pipelines on Kubernetes, crafting interactive dashboards with Tableau or Power BI, and collaborating with product managers to translate analytical findings into user‑friendly tools.

Transparent salary information is vital for Embrace Discovery professionals because the field demands niche skills that are scarce and highly valued. Knowing the market rate for roles such as ML‑Ops Engineer or Edge‑Analytics Specialist empowers candidates to negotiate compensation that reflects the cost of acquiring and retaining talent capable of driving innovation and meeting regulatory compliance standards.

IBM Quantum Algorithms Engineer in Korea

Company: IBM

Location: Seoul, KR

Posted Dec 08, 2025

IBM Quantum is seeking a Quantum Algorithms Engineer to drive innovation and community engagement through education, workshops, and open-source collaboration. The role involves developing quantum education programs, supporting researchers, and advancing workforce development initiatives in Asia Pacific regions.

Salesforce Technical Architect

Company: Guidehouse

Location: Remote

Posted Dec 07, 2025

Guidehouse seeks a Salesforce Technical Architect with 10+ years of experience, offering competitive salaries ($171k-$285k) and comprehensive benefits including medical insurance, retirement plans, and professional development opportunities. The role involves designing scalable Salesforce solutions for public sector clients while collaborating with cross-functional teams.

Senior Software Engineer

Company: Anzen

Location: Remote

Posted Dec 08, 2025

Anzen is revolutionizing commercial insurance with an AI platform, offering opportunities to work on cutting-edge technology and impactful projects. The role involves building scalable systems and contributing to a collaborative culture focused on innovation and excellence.

Digital Sales Specialist Intern – Entry Level Sales Program 2026 (May Start)

Company: IBM

Location: Markham, CA

Posted Dec 08, 2025

IBM's Digital Sales Specialist Intern role emphasizes technical and people skills, collaborative innovation, and career growth through comprehensive training and impactful client solutions.

Senior Platform Engineer - ML Data Systems

Company: Khan Academy

Location: USA

Posted Dec 07, 2025

Khan Academy is a nonprofit organization with a mission to provide free, world-class education to anyone, anywhere. They offer high-quality learning content and practice for PreK-12th grade and early college core academic subjects, focusing on math and science. The company values diversity, equity, inclusion, and belonging, and is committed to improving learning outcomes for students worldwide, especially those in historically under-resourced communities. They are looking for an ML Data Engineer to evolve their evaluation dataset tools to meet the growing platform needs of AI-based tutoring.

Client Executive

Company: Atmosera

Location: Remote

Posted Dec 08, 2025

Atmosera seeks a Client Executive to drive Azure solutions sales, offering competitive salaries, comprehensive benefits, and growth opportunities. The role emphasizes strategic account management, technical expertise, and delivering measurable client value through innovative cloud-based solutions.

Salesforce Business Analyst

Company: Guidehouse

Location: Remote

Posted Dec 07, 2025

This job posting outlines a Salesforce consulting role with requirements for experience and certifications, offering competitive compensation and comprehensive benefits.

Security Software Engineer - ML Detection Engineering

Company: Netflix

Location: USA

Posted Dec 07, 2025

Netflix is a leading entertainment service with over 300 million paid memberships worldwide. The Detection Engineering Team focuses on analyzing high-risk attack paths and creating focused detections to reduce risk to the business. The team is looking for an experienced candidate to help mature and expand their detection frameworks, platforms, and portfolio using machine learning capabilities.

Lead AI Engineer

Company: Upwork

Location: USA

Posted Dec 07, 2025

Upwork is a global work marketplace connecting businesses with skilled independent talent. The company offers AI-powered solutions and enables companies to scale, innovate, and build agile teams. The job description is for a Lead AI Engineer position on the Data Platform & Services team, focusing on building AI-powered systems for data engineering, analytics, and product evolution.

Commercial Account Executive - Mid Market

Company: GitLab

Location: UK

Posted Dec 07, 2025

This job description outlines the role of a Midmarket Account Executive at GitLab, focusing on managing sales cycles, collaborating with cross-functional teams, and contributing to sales processes. It highlights responsibilities such as guiding customers through adoption of DevSecOps platforms, analyzing sales performance, and improving internal documentation. The role requires experience in software sales, strong communication skills, and alignment with GitLab's values.

Salesforce B2B Commerce Architect

Company: Aleysian

Location: Remote

Posted Dec 07, 2025

The text describes a job posting for a Salesforce Commerce Architect role at Aleysian, highlighting the company's innovative culture, competitive salary, comprehensive benefits package, and commitment to diversity. It outlines key responsibilities, required skills, and the collaborative work environment, emphasizing growth opportunities and a supportive team atmosphere.

Internal Product Manager - AI Tooling

Company: Figma

Location: USA

Posted Dec 07, 2025

The job posting is for an experienced Product Manager AI Internal Tooling role at Figma. The role involves defining and owning the strategy for adopting and scaling AI tools across the company's internal technology stack. The ideal candidate should have deep technical and business systems expertise, thrive at the intersection of IT integrations and enterprise platforms, and have a proven track record of shipping and iterating on AI features that drive impact.

Frequently Asked Questions

What are typical salary ranges by seniority in Embrace Discovery?
In the United States, a Junior Discovery Engineer can expect $70,000–$90,000 annually. Mid‑level roles such as Discovery Data Scientist or Platform Architect range from $110,000 to $150,000. Senior positions—Lead Discovery Architect or Director of Discovery—typically command $170,000 to $220,000, and compensation can increase with equity or performance bonuses in larger firms.
What skills and certifications are required?
Key technical skills include Python, SQL, and Spark for data pipelines; TensorFlow or PyTorch for model development; Kubernetes and Docker for container orchestration; and cloud platforms like AWS (Certified Data Analytics Specialty), Azure Data Engineer, or GCP BigQuery. Domain knowledge in healthcare regulations (HIPAA), energy standards (ISO 50001), or market‑research methodologies is essential. Certifications such as Certified Analytics Professional (CAP), AWS Certified Data Analytics, or Google Cloud Professional Data Engineer enhance credibility.
Is remote work available for Embrace Discovery roles?
Most Embrace Discovery roles are remote‑friendly or hybrid, especially in companies that rely on cloud‑native discovery platforms. Tech giants, biotech startups, and consulting firms routinely offer fully remote positions with robust collaboration tools, while on‑site roles are usually limited to regional data centers or product labs.
What career progression paths exist?
A typical career ladder starts with Discovery Analyst or Junior Engineer, moves to Senior Engineer or Lead Data Scientist, then to Discovery Architect or Product Lead, and finally to Director of Discovery or Chief Data Officer. Progression often requires demonstrated expertise in building production‑grade discovery pipelines, cross‑functional leadership, and publishing findings in industry conferences.
What are the current industry trends for Embrace Discovery?
Current trends include AI‑driven hypothesis generation, edge computing for real‑time IoT analytics, and privacy‑preserving techniques like federated learning. Companies are investing in low‑latency streaming services and integrating genomic or sensor data into unified discovery platforms, which raises demand for engineers skilled in distributed systems and data governance.

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