Machine Learning Jobs

425,594 open positions · Updated daily

Machine learning is reshaping industries from autonomous vehicles to personalized medicine. Every quarter, investment in AI startups rises, and Fortune 500s are hiring data scientists to turn vast datasets into actionable insights. This surge translates into a high demand for ML talent, with roles expanding into new verticals and requiring hybrid skill sets that blend software engineering, domain knowledge, and statistical modeling.

Within the ML ecosystem, you’ll find positions such as ML Engineer, responsible for production‑ready pipelines; Data Scientist, focused on exploratory analysis and model prototyping; Research Scientist, pushing the frontier of deep learning; MLOps Engineer, ensuring seamless deployment and monitoring; and AI Ethicist, guiding responsible AI practices. Each role demands tools like TensorFlow, PyTorch, scikit‑learn, SQL, Docker, Kubernetes, and cloud ML services (AWS SageMaker, GCP AI Platform).

Salary transparency matters because it levels the playing field for ML professionals. With clear pay data, you can benchmark your compensation against peers, negotiate offers that reflect your expertise, and spot disparities that may indicate bias. Transparent figures also help you assess the true cost of entry into specialized subfields like reinforcement learning or federated learning, where pay can differ significantly from standard ML engineering.

Associate Solutions Consultant

Company: Figma

Location: USA

Posted Dec 06, 2025

Figma is seeking a solutions consultant to support their commercial segment and drive growth within the region. The role involves partnering with sales teams, building relationships, addressing security concerns, and creating content to delight customers. The ideal candidate should have 2+ years of experience in presales and postsales, excellent communication skills, and familiarity with the enterprise SaaS ecosystem.

Sr. Machine Learning Manager - Ads Marketplace Quality

Company: Reddit

Location: USA

Posted Dec 06, 2025

Reddit Ads is a fast-growing platform with an ambitious goal to become a massive business. The Sr Manager of Ads Marketplace Quality will play a leading role in shaping Reddit's ads auctions to ensure a great user experience and help the business grow. The role requires management experience and expertise in ads auctions or related domains.

Manager - Sales Enablement

Company: Lumos

Location: USA

Posted Dec 06, 2025

The role of Manager of Sales Enablement involves designing and running programs to improve seller readiness, message consistency, and deal execution quality. The responsibilities include building onboarding programs, launching ongoing enablement, creating field assets, enabling managers to coach, building data loops, defining indicators, partnering with Product Marketing and SE leadership, and deploying AI where appropriate. The ideal candidate should have 6+ years in sales enablement and/or B2B SaaS sales, expertise in MEDDPICC and Command of the Message frameworks, strong facilitation and storytelling skills, program and project management experience, proficiency with GTM technologies, a data-informed mindset, and the ability to build cross-functional relationships.

Sales Strategy and Operations Manager

Company: Kraken

Location: USA

Posted Dec 06, 2025

Kraken is a mission-focused crypto company seeking a Sales Strategy and Operations Manager to elevate their global sales team. The role involves driving CRM and GTM systems infrastructure, optimizing institutional GTM workflows, managing sales reporting and analytics, and supporting sales enablement. Kraken values diversity, inclusion, and crypto conviction, and is committed to industry-leading security, education, and client support.

Engineering Team Lead (Java)

Company: Upwork

Location: Europe

Posted Dec 06, 2025

Upwork promotes a trust-driven platform enabling companies and professionals to collaborate innovatively. The job posting highlights opportunities for engineering leadership, technical excellence, and career growth, while emphasizing diversity and inclusion in their workforce.

D2C Growth Marketing Manager - Scout Acquisition

Company: Dscout

Location: USA

Posted Dec 06, 2025

Dscout is a flexible experience research platform that helps product teams connect with users. They are looking for a growth-focused marketer to help grow their Scout panel, an amazing community that powers research on their platform. The role involves attracting new Scouts, supporting research recruiting needs, optimizing growth and analytics, improving onboarding and engagement, and owning tools and tech.

District Success Manager - Khan Kids

Company: Khan Academy

Location: USA

Posted Dec 06, 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 a District Success Manager to support school and district partners in implementing Khan Academy Kids successfully.

Intermediate Backend (Go) Engineer, Gitlab Delivery - Operate

Company: GitLab

Location: Canada,EMEA

Posted Dec 06, 2025

The role of a Backend Engineer on the GitLab Delivery Operate team involves focusing on delivering and supporting GitLab for self-managed customers by building and maintaining infrastructure tooling and automation. The team collaborates with various teams to ensure GitLab is easy to install, upgrade, and operate in diverse production-grade environments. The role includes maintaining and evolving deployment tooling, improving installation and upgrade experiences, and collaborating with distributed teams.

Junior Campaign Manager

Company: Canonical

Location: EMEA

Posted Dec 06, 2025

Canonical is seeking a Junior Campaign Manager to join their Marketing team. The role involves setting up and monitoring paid campaigns, building automation and AI for ad performance, and developing the adtech stack. The ideal candidate should have experience with ad platforms, campaign tracking, lead generation, AB testing, and data-driven decision making. The position is fully remote in the EMEA region.

Head of Presales Engineering

Company: Lumos

Location: USA

Posted Dec 06, 2025

The role of Head of Pre Sales Engineering at Lumos involves leading and scaling the presales team, hiring and mentoring SEs, building the SE operating system, owning demo and POV strategy, partnering with sales leaders, building field assets, creating feedback loops, collaborating with RevOps, and modeling an inclusive culture. The ideal candidate should have 10+ years of B2B SaaS pre sales experience, domain fluency, proven lift in technical win rate, mastery of MEDDPICC, operational rigor, excellent communication skills, and the ability to travel as needed.

Sr. Machine Learning Engineer

Company: Typeform

Location: Germany,Ireland,Netherlands,Portugal,Spain,UK

Posted Dec 06, 2025

Typeform is a fully remote company with a Data & Insights team focused on making data actionable through reports, dashboards, and AI/ML models. The role is a Machine Learning Engineer position, responsible for designing, developing, and deploying scalable ML systems to deliver personalized experiences. The ideal candidate should have 4+ years of experience in building and deploying ML models, strong proficiency in Python and ML frameworks, experience with AWS cloud, Kubernetes, Docker, and ML lifecycle management tools like MLflow.

Sales Strategy and Operations Manager

Company: Kraken

Location: Canada,APAC,Europe

Posted Dec 06, 2025

Kraken promotes its mission to advance cryptocurrency adoption through a global, mission-focused team committed to security, education, and financial freedom. The job opportunity emphasizes scaling sales operations and aligning with crypto values.

Frequently Asked Questions

What are typical salary ranges for ML roles at different seniority levels?
Junior ML Engineers earn $90k–$120k annually, mid‑level engineers $120k–$160k, senior engineers $160k–$220k, and lead or principal ML roles can reach $220k–$300k+. In large tech firms, the upper end can exceed $350k when including equity, while early‑stage startups may offer lower base but higher stock options.
What skills and certifications are required for ML positions?
Core expertise includes Python, Jupyter, TensorFlow, PyTorch, scikit‑learn, and SQL. MLOps proficiency with Docker, Kubernetes, and cloud services (AWS SageMaker, GCP AI Platform, Azure ML) is essential for production roles. Certifications such as TensorFlow Developer, AWS Certified Machine Learning – Specialty, and Google Cloud Professional Machine Learning Engineer can validate knowledge and accelerate hiring.
Are ML jobs available for remote work?
Yes, many ML positions are fully remote or hybrid. Companies like Scale AI, Databricks, and Cohere offer remote‑first policies. Remote work requires high‑speed internet, secure VPN access, and collaboration via tools like JupyterHub, Slack, and Asana, but it also expands the geographic talent pool.
What career progression paths exist in ML?
Typical paths start as ML Engineer or Data Scientist, advance to Senior ML Engineer, Lead Data Scientist, or Research Scientist, then transition into managerial roles such as ML Manager, Director of AI, or VP of Data & AI. Progression hinges on building a strong portfolio, publishing research, mentoring junior teammates, and mastering cross‑functional skills like product strategy and ethics.
What are current industry trends shaping ML careers?
Edge AI and federated learning are driving demand for on‑device models; AutoML platforms reduce time to deployment; responsible AI frameworks (e.g., IBM AI Fairness 360) shape compliance roles; reinforcement learning is expanding into robotics; and interpretability tools like SHAP and LIME are becoming standard in regulated sectors such as finance and healthcare.

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