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.

Machine Learning Scientist (L4/5) - Content and Studio

Company: Netflix

Location: Remote

Posted Dec 04, 2025

Netflix seeks a Machine Learning Scientist to enhance content discovery. The role involves developing ML solutions, collaborating with teams, and ensuring diverse media promotion. The company emphasizes inclusion and offers competitive compensation.

Engineering Manager - Data Pipeline

Company: Reddit

Location: Remote

Posted Dec 04, 2025

The Data Pipeline team at Reddit is responsible for building and maintaining the infrastructure that processes petabytes of data across the company. The team is looking for an experienced Engineering Manager to lead the team, drive reliability and scalability, and collaborate with other engineering teams. The role requires strong technical and leadership skills, as well as experience in distributed systems and data infrastructure.

Staff Data Scientist (Product)

Company: Apollo.io

Location: Remote

Posted Dec 04, 2025

The Senior Data Scientist role involves optimizing existing products and supporting early-stage initiatives through data-driven insights. The ideal candidate should have strong product analytics experience, expertise in translating complex data into actionable insights, and proficiency in data analytics tools. The role requires excellent communication skills, accountability, and the ability to thrive in a fast-paced environment.

Backend Engineer

Company: Kalepa

Location: Remote

Posted Dec 04, 2025

The job posting is for a core engineer role at a company that values smart programmers who love coding and seek challenging problems. The role involves working on advanced systems including NLP, firmographic data, entity resolution, and more. The company offers a competitive salary, equity options, and various benefits.

Strategic CES Operations Manager

Company: Figma

Location: USA

Posted Dec 04, 2025

The role is a global position responsible for building operational infrastructure, insights, and governance for post-sale activities. The individual will partner with various teams to ensure operational excellence and consistent performance management worldwide. The role involves defining operational frameworks, establishing reporting and metrics frameworks, defining performance metrics, and acting as a strategic connector between different teams. The ideal candidate should have 8+ years of experience in sales, customer success, or post-sales operations, strong expertise in systems including Salesforce and BI tools, and a proven ability to define operational frameworks and scale teams.

Senior Full Stack Engineer

Company: Kalepa

Location: Remote

Posted Dec 04, 2025

The job posting is for a core engineer role at a company working on cutting-edge technology including NLP, firmographic data, entity resolution, and more. The role involves building large data pipelines, distributed systems, machine learning models, and robust infrastructure. The company values smart programmers who love coding, seek challenging problems, and appreciate recognition for excellent work. They offer a competitive salary, equity options, and various benefits.

Senior Full Stack Engineer

Company: Kalepa

Location: Remote

Posted Dec 04, 2025

The job posting is for a core engineer role at a company that values smart programmers who love coding and seek challenging problems. The role involves working on advanced systems including NLP, firmographic data, entity resolution, and more. The ideal candidate should have 5+ years of software engineering experience, excellent development skills, and experience with modern FE frameworks like ReactRedux. The company offers a competitive salary, significant equity options, excellent benefits, and a global team environment.

Customer Experience Team Lead

Company: Found

Location: USA

Posted Dec 04, 2025

Found is a company that provides tools and services for self-employed individuals, including a business bank account that automates taxes and expense tracking. The company is looking for a Customer Experience leader to manage a team of associates who support customers at every stage of their journey. The role involves coaching, supporting customers, growing the team, reviewing performance metrics, managing schedules, and partnering with product teams.

Staff Software Engineer - Graphics

Company: Mozilla

Location: Remote

Posted Dec 04, 2025

Mozilla Corporation, a nonprofit-backed technology company, has shaped the internet for the better over the last 25 years. They make pioneering brands like Firefox, a privacy-minded web browser, and focus on diverse areas including AI, social media, and security. The company is committed to making the internet better for people and is wholly owned by the nonprofit Mozilla Foundation.

GitOps Engineering Manager

Company: Canonical

Location: Remote

Posted Dec 04, 2025

Canonical is a leading provider of open-source software and operating systems for global enterprise and technology markets. They offer a GitOps Engineering Manager role to lead a high-performance team in devops and gitops engineering management. The company is founder-led, profitable, and growing, with a focus on pioneering new approaches to large-scale IS and sharing automation as open-source packages.

Senior Machine Learning Engineer

Company: Kalepa

Location: Remote

Posted Dec 04, 2025

Kalepa is seeking a Senior Machine Learning Engineer with 5+ years of experience to lead the development and deployment of machine learning models at scale. The role involves turning vast amounts of structured and unstructured data into novel insights about behavior and risk. The ideal candidate should have an in-depth understanding of applied machine learning algorithms, especially NLP and statistics, and be experienced in Python and its major data science libraries. The company offers a competitive salary, significant equity options, and a global team offsite.

Staff Software Engineer - Graphics

Company: Mozilla

Location: Remote

Posted Dec 04, 2025

Mozilla Corporation is a nonprofit-backed technology company that has shaped the internet for the better over the last 25 years. They make pioneering brands like Firefox, a privacy-minded web browser, and focus on diverse areas including AI, social media, and security. Mozilla is committed to making the internet better for people and is wholly owned by the nonprofit Mozilla Foundation.

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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