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.

Principal Software Engineer - Backend Engineering

Company: Red Cell Partners

Location: USA

Posted Dec 05, 2025

Trase Systems, co-founded in 2023 by Joe Laws and Grant Verstandig, is an AI company that empowers enterprise leaders to deploy, manage, and optimize AI solutions. They specialize in bridging the last mile of AI adoption, driving efficiency and cost savings. Trase is a leader in AI Agent innovation and is developing mission-critical agentic applications in industries such as Healthcare, Oil & Gas, and National Security.

Sr. Engineering Manager: Payments

Company: TrueML

Location: USA

Posted Dec 05, 2025

TrueML is a mission-driven financial software company focused on improving customer experiences through machine learning. The Engineering Manager role involves leading teams, developing secure payment solutions, and collaborating with cross-functional teams. Benefits include remote work, comprehensive insurance, and a supportive inclusive culture.

Developer Relations Engineer

Company: Canonical

Location: APAC,EMEA

Posted Dec 05, 2025

Canonical, the publisher of Ubuntu, is creating a new Developer Relations team to engage with open source communities and developer-centric organizations. The team aims to improve open source development experiences and gather feedback to shape their offerings. They are seeking a Developer Relations Engineer who is a technical expert, strategist, and communicator with deep empathy for developers.

Senior Software Engineer - Developer Productivity

Company: Webflow

Location: USA

Posted Dec 05, 2025

Webflow is building the world's leading AI-native Digital Experience Platform as a remote-first company. They are looking for a Senior Software Engineer Developer Productivity to join their Developer Productivity Pillar. The role involves driving implementation and maintenance of Webflow's build system, overseeing development environments, defining processes, and mentoring team members. Webflow offers competitive compensation, benefits, and a commitment to building trust, reinventing themselves, delivering with speed and quality, and fostering a culture of ownership and collaboration.

Lead Python Software Engineer - Commercial Systems

Company: Canonical

Location: EMEA

Posted Dec 05, 2025

Canonical is a leading provider of open-source software and operating systems for global enterprise and technology markets. The company is hiring a Lead Python Software Engineer to work on the Integrations team, which is responsible for automating SaaS user management and onboarding new data sources to the data mesh. The role involves developing engineering solutions using Python, collaborating with colleagues, and deploying and operating services. Canonical offers a distributed work environment, personal learning and development budget, annual compensation review, and other benefits.

Engineering Manager - Integrations

Company: Hostaway

Location: EMEA

Posted Dec 05, 2025

Hostaway is a market-leading SaaS scaleup transforming the vacation rental industry with innovative solutions and partnerships with major platforms. They offer a competitive compensation package, 100% remote work, equity, values-driven leadership, professional growth opportunities, annual paid leave, geographic-specific benefits, and a dynamic team culture.

Director - Talent Science

Company: Canonical

Location: EMEA

Posted Dec 05, 2025

Canonical is a leading provider of open source software and operating systems. The company is founder-led, profitable, and growing. They are hiring for 4 new leadership roles in their Talent Science team to lead on delivery excellence. The role involves leading and delivering the strategic Talent Science project roadmap, leveraging expertise to design and implement solutions, ensuring high performance outcomes, designing professional processes, coaching and mentoring team members, and working closely with company leaders.

Senior Backend Engineer(Golang),Software Supply Chain Security: Auth Infrastructure

Company: GitLab

Location: North America,Latin America,APAC,Canada

Posted Dec 05, 2025

The role of a Senior Backend Engineer on the Auth Infrastructure team at GitLab involves building critical authentication and authorization infrastructure for millions of users. The position focuses on designing and implementing secure, performant, and reliable identity services while contributing to GitLab's move towards a zero-trust architecture and microservices-based future. The role requires strong backend development skills, experience with proxy and edge technologies, service mesh architectures, and distributed systems.

Senior Manager - Workplace Technology

Company: Mozilla

Location: Canada

Posted Dec 05, 2025

Mozilla Corporation, a nonprofit-backed technology company, is seeking a leader for its Workplace Technology team. The role involves leading a team, defining and implementing enterprise service architecture, ensuring operational excellence, managing financial and vendor relationships, and enhancing user experience. The ideal candidate should have extensive experience in workplace technology, strong leadership skills, and a deep understanding of enterprise systems and services.

Senior Partner Sales Manager - Global System Integrator (GSI)

Company: Canonical

Location: Anywhere

Posted Dec 05, 2025

Canonical is a leading provider of open source software and operating systems, with a focus on enterprise initiatives such as public cloud, data science, AI engineering, and IoT. The company is founder-led, profitable, and growing, with a global distributed team and a focus on building strategic relationships with partners.

FP&A Analyst - GTM

Company: GitLab

Location: USA

Posted Dec 05, 2025

This job description outlines a Financial Analyst role requiring expertise in financial modeling, data analysis, and cross-functional collaboration. The position involves supporting business teams with forecasting, reporting, and financial insights while using tools like Google Sheets and NetSuite. Key qualifications include financial analysis experience, communication skills, and knowledge of accounting practices.

Senior Manager - Workplace Technology

Company: Mozilla

Location: USA

Posted Dec 05, 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, the privacy-minded web browser, and have over 225 million people using their products each month. The company focuses on diverse areas including AI, social media, security, and more, while never losing focus on their core mission to make the internet better for people. The role described is part of the IT Function within the broader Mozilla Infrastructure team, supporting ERP Services, Workplace services, ServiceDesk, and OnPrem DC Services across the organization.

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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