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.

Software Engineer L4/L5 - Data and Feature Infrastructure, 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 company leverages machine learning and artificial intelligence to personalize content recommendations, optimize content slate, and improve various business initiatives. They are seeking to build a next-generation ML data and feature platform to improve the productivity of ML practitioners and enable sharing of datasets across various ML domains.

Sr. Institutional Relationship Managers

Company: Kraken

Location: Hong Kong,Taiwan, Province of China,Singapore

Posted Nov 17, 2025

Kraken is a mission-focused crypto company with a world-class team dedicated to accelerating global adoption of crypto for financial freedom and inclusion. They are hiring Senior Institutional Relationship Managers to expand their client base and generate revenue through business development across APAC. The role involves building relationships with clients, generating leads, and partnering with various teams to enhance the product offering.

Key Client Consulting Partner Energy and Utilities

Company: Guidehouse

Location: Remote

Posted Nov 16, 2025

The job posting is for a Key Client Partner position within the Energy Providers practice at Guidehouse. The role involves driving growth and customer satisfaction by crafting, selling, and overseeing delivery of strategic advisory, technology, and risk management consulting services to Investor-Owned Utilities. The ideal candidate will have extensive experience in key client business development and account management in the Energy and Utility sector, with a proven track record of developing and growing key client accounts. The position offers a competitive compensation package and benefits.

Machine Learning Engineer - AI for Member Systems

Company: Netflix

Location: USA

Posted Nov 17, 2025

Netflix is a leading entertainment service with over 300 million paid memberships worldwide. The company is seeking a passionate and talented Machine Learning Engineer to join their AI for Member Systems team. The role involves collaborating with cross-functional teams to develop and implement machine learning algorithms that improve personalization, recommendations, and member experiences. The ideal candidate should have 5+ years of experience in applying machine learning in an industrial setting, a PhD or Masters in a related field, and expertise in machine learning algorithms and frameworks.

Sr. Institutional Relationship Managers

Company: Kraken

Location: USA

Posted Nov 17, 2025

Kraken is a mission-focused crypto company with a world-class team dedicated to accelerating global adoption of crypto for financial freedom and inclusion. They are hiring experienced sales professionals to expand their institutional client base and generate revenue through business development across the US.

AI Image Processing Specialist - Qualified Pipeline

Company: Data Meaning

Location: USA

Posted Nov 17, 2025

Data Meaning is a leading Business Intelligence and Data Analytics consulting firm seeking an AI Image Processing Specialist to innovate product image automation for retail clients. The role involves developing AI-driven processes for image transformation, collaborating with clients, and staying updated with AI advancements.

Software Engineer II

Company: SpryPoint

Location: Canada

Posted Nov 17, 2025

SpryPoint, a fast-growing tech company, is revolutionizing utilities with innovative solutions. They offer competitive roles and benefits, emphasizing growth and collaboration.

Machine Learning Manager - Content Enterprise

Company: Netflix

Location: USA

Posted Nov 17, 2025

Netflix is a leading entertainment service with over 300 million paid memberships worldwide. The Content Enterprise DSE team provides analytics, data science, and machine learning solutions to support content production across various business areas. The team is seeking a manager to lead and mentor a team in building analytical insights, scalable ML pipelines, and LLM-powered solutions for cross-functional business teams.

Engineering Manager - Machine Learning, Model Evaluations and Data Curation (AI Foundations)

Company: Netflix

Location: USA

Posted Nov 17, 2025

Netflix is a leading entertainment service with over 300 million paid memberships worldwide. The company is investing in fast-paced innovation in large language models and generative AI to reshape personalization and discovery. The Model Evaluations and Data Curation team is central to this transformation, building benchmarks, evaluators, and baselines to guide LLM progress and deliver high-quality training datasets. The team is seeking a seasoned engineering leader to build and scale the group, focusing on evaluation science, data systems, and foundation models.

Technical Director - Internal Game Studio (ISX2)

Company: Netflix

Location: USA

Posted Nov 17, 2025

Netflix is seeking a Technical Director to lead a new transmedia gaming experience on their CloudGaming platform. The role involves assembling and managing a world-class engineering team, making technology decisions, and ensuring alignment with Netflix's platform technologies. The company values integrity, excellence, respect, inclusion, and collaboration.

Machine Learning Scientist (L5) - Content and Studio

Company: Netflix

Location: USA

Posted Nov 17, 2025

Netflix is a leading entertainment service with over 300 million paid memberships worldwide. The Studio Production team within Data Science and Engineering develops analytics and machine learning tools to support decision-making in content finance and production planning. They are seeking an experienced ML scientist to build ML solutions for self-service analytics of structured and unstructured data.

Data Scientist (All Levels)

Company: KoBold Metals

Location: USA

Posted Nov 17, 2025

KoBold Metals is a leading AI-driven mineral exploration company that has made significant discoveries with less capital than the industry average. They are seeking a Data Scientist to build predictive models and apply scientific computing methods to accelerate the discovery of critical battery metals.

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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