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.

Staff Data Scientist

Company: Platform Science

Location: USA

Posted Dec 07, 2025

Platform Science is an open IoT platform founded in 2015 that partners with fleets, application developers, vehicle manufacturers, and equipment providers in the transportation industry. They are seeking a Staff Data Scientist to process large amounts of raw data into strategic insights and lead the evaluation, design, and implementation of machine learning models and statistical analyses to support key business objectives.

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.

IoT Data Engineer

Company: Canonical

Location: Remote

Posted Dec 07, 2025

Canonical promotes itself as a leading open-source provider with a strong presence in enterprise markets. The job posting highlights opportunities for software engineers to work on innovative IoT solutions, collaborate globally, and contribute to a growing pre-IPO company with competitive benefits and a distributed work environment.

Staff Data Scientist - Engagement Ecosystem

Company: Pinterest

Location: USA

Posted Dec 07, 2025

Pinterest is seeking a Staff Data Scientist to shape the future of their engagement ecosystem. The role involves developing a deep understanding of the platform, leading projects on tradeoffs between organic engagement and advertising, and designing robust ML frameworks. The ideal candidate will have 10+ years of experience in data environments, expertise in machine learning and causal inference, and strong communication skills.

Staff Software Developer - Fullstack

Company: Coursera

Location: Canada

Posted Dec 07, 2025

Coursera is seeking a Staff Software Developer Fullstack to build tools for instructors and partners to create, review, and improve courses. The role involves designing and maintaining fullstack features, developing backend services and APIs, building responsive UIs in React/TypeScript, integrating with AI systems, and providing technical leadership. The ideal candidate has 6+ years of experience in web application development, solid frontend and backend skills, and experience designing end-to-end features.

Machine Learning Engineer - Core Engineering

Company: Pinterest

Location: USA

Posted Dec 07, 2025

This text describes a job opportunity at Pinterest for Machine Learning engineers focusing on building personalized experiences, collaborating across teams, and working with large-scale data systems. It highlights the impact of the role and the required expertise in ML technologies.

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.

Sales Trainer II

Company: Tekion

Location: USA

Posted Dec 07, 2025

The job posting is for a Sales Trainer II position at a SaaS company. The role involves designing and delivering advanced sales training programs, conducting training sessions, providing coaching, creating training materials, assessing effectiveness, collaborating with teams, and reporting on outcomes. The company offers competitive compensation, great benefits, and opportunities for growth in a dynamic work environment.

Frontend Engineer

Company: Elicit

Location: USA

Posted Dec 07, 2025

Elicit is an AI research assistant that helps researchers with tasks like literature review. It aims to increase good reasoning and make it more affordable for both experts and non-experts. The company is hiring a frontend engineer to help ship more features and meet user demand. They have a modern tech stack and value high-quality user experience.

Senior Software Engineer

Company: Elicit

Location: USA

Posted Dec 07, 2025

Elicit is an AI research assistant enhancing decision-making. They're hiring a senior engineer to develop features, with a focus on scalable systems and competitive compensation.

QA Engineer II

Company: Outliant

Location: Philippines

Posted Dec 07, 2025

Ignite Visibility, an award-winning digital marketing agency, seeks a QA Engineer II to contribute to innovative projects. The role involves testing strategies, automation, and collaboration in a dynamic environment with competitive benefits.

Staff, Product Manager - AI/ML PLatform - Enterprise AI

Company: Twilio

Location: USA

Posted Dec 07, 2025

Twilio is seeking a Staff Product Manager for their Enterprise AI team to lead the development of AI platform capabilities. The role involves defining the product roadmap, building AI reasoning engines, and creating no-code experiences for internal and external teams. The ideal candidate has 7+ years of product management experience, deep knowledge of NLP and LLMs, and experience with enterprise AI platforms.

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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