Machine Learning Jobs

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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.

Data Scientist (L5) - Promotional Media Measurement Science

Company: Netflix

Location: USA

Posted Nov 17, 2025

Netflix is a leading entertainment service with over 300 million paid memberships worldwide. The Promotional Media Measurement Science team conducts research and develops metrics to improve promotional assets and member engagement. The team seeks a senior data scientist to drive technical innovation and produce business impact by developing models, metrics, and insights to optimize promotional assets.

Software Engineer (L5) - Open Connect Platform

Company: Netflix

Location: USA

Posted Nov 17, 2025

Netflix is a leading entertainment service with over 300 million paid memberships worldwide. The company is responsible for a significant portion of global internet traffic and works collaboratively with ISPs to deliver content efficiently. Netflix is looking for a talented software engineer to join their team and work on impactful availability, scalability, and usability challenges for their Open Connect platform.

Internet Measurement and Geolocation Software Engineer (L5)

Company: Netflix

Location: USA

Posted Nov 17, 2025

Netflix is a leading entertainment service with over 300 million paid memberships worldwide. The Open Connect group builds and manages a content delivery network that delivers streaming video and leverages physical infrastructure. The GNI team focuses on mapping devices to real-world locations and leveraging network insights to improve the business while protecting member privacy.

Software Engineer L5 - Build and Release Tools, Machine Learning Platform

Company: Netflix

Location: USA

Posted Nov 17, 2025

Netflix is a leading entertainment service with over 300 million paid memberships worldwide. The Model Observability & Lifecycle Management teams provide a centralized MLOps platform to multiply productivity for ML researchers. The Build and Release group is building a monorepo environment for ML engineers and researchers, seeking strong build engineers with experience in B&R best practices at scale.

Senior Product Designer - Enterprise XD

Company: Netflix

Location: USA

Posted Nov 17, 2025

Netflix is a global entertainment company that aspires to entertain the world by innovating on how entertainment is imagined, created, and delivered. The company is expanding its business in new ways to serve its global members, including evolving how it offers best-in-class entertainment content and new forms of entertainment like games and live events. Netflix leverages vast data sets and cutting-edge AI technology to improve operational workflows and enhance content decision-making. The role described is for a Senior Designer on the Enterprise Experience Design team, which focuses on developing products to help Netflix and its partners plan, produce, launch, and promote the best content for its members at a global scale.

Technical Director - Internal Game Studio (ISX1)

Company: Netflix

Location: USA

Posted Nov 17, 2025

Netflix is seeking a visionary Technical Director to lead the development of a new transmedia gaming experience for their cloud gaming platform. The ideal candidate will have deep technical expertise, experience building and leading engineering teams, and a passion for creating innovative and delightful player experiences. The role involves owning the technical strategy, building a world-class engineering team, and collaborating closely with other studio leads to align product, technology, and creative goals.

Senior Design Engineer

Company: Netflix

Location: USA

Posted Nov 17, 2025

Netflix is seeking a Design Engineer to help advance their mission of entertaining the world. The role involves leveraging design and engineering skills to create high-fidelity prototypes, tools, and services that accelerate the product development lifecycle. The ideal candidate should have 7+ years of experience with JavaScript, TypeScript, React, and Node.js, and a portfolio showcasing thoughtful UX interaction design.

Product Manager - Games Developer Tools

Company: Netflix

Location: USA

Posted Nov 17, 2025

Netflix is expanding its games division with opportunities to develop developer tools and grow its Games on TV product globally. The role combines product management with developer advocacy, requiring strategic collaboration and technical expertise. The company offers competitive compensation and comprehensive benefits.

Machine Learning Engineering Manager - Personalization

Company: Spotify

Location: Remote

Posted Nov 17, 2025

The Personalization team at Spotify makes music and podcast recommendations for listeners using AI-driven features like Discover Weekly and AI DJ. The NextGen product area is developing new personalized listening experiences. The role is for an ML Engineering Manager to lead a team building innovative AI-driven music session experiences.

Machine Learning Engineer (L5 - Senior) , Ads Inventory Management & Forecasting

Company: Netflix

Location: USA

Posted Nov 17, 2025

Netflix is a leading entertainment service with over 300 million paid memberships worldwide. They recently launched an ads-supported tier to attract new members and advertisers. The Ads Platform Engineering team builds advertising systems and integrations to deliver ads using Netflix's content delivery ecosystem. They seek highly motivated engineers to join their team and build unique value propositions in the rapidly growing Connected TV advertising space.

Site Reliability Engineer (L4/L5) - Netflix Ads

Company: Netflix

Location: USA

Posted Nov 17, 2025

Netflix is a leading entertainment service with over 300 million paid memberships worldwide. The Ads Reliability Engineering SRE team is responsible for ensuring the stability, resilience, and scalability of the critical systems powering the Netflix Ad Suite. The role involves designing and maintaining scalable infrastructure, collaborating with engineering and product teams, developing automation tools, and championing a culture of reliability.

Manager - Localization

Company: Airbnb

Location: Remote

Posted Nov 17, 2025

The text is a job description for a Manager Localization position at Airbnb. It highlights the company's mission, growth, and the role's responsibilities, including leading a team, providing linguistic expertise, and collaborating with various teams to drive international growth and deliver a native user experience.

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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