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 Revenue Data Scientist

Company: Mozilla

Location: Remote

Posted Nov 26, 2025

Mozilla Corporation is a nonprofit-backed technology company that has shaped the internet for the better over the last 25 years. They make groundbreaking products like Firefox, a privacy-minded web browser used by over 225 million people worldwide. The company focuses on diverse areas including AI, social media, security, and more, while maintaining their core mission to make the internet better for people. The Mozilla Corporation is wholly owned by the nonprofit Mozilla Foundation, allowing them to focus solely on their mission without shareholder influence.

Senior Security Operations Engineer

Company: Canonical

Location: Remote

Posted Nov 26, 2025

Canonical is opening several Security Operations Engineer SOC positions to build a new team reporting to the CISO. The goal is to create a new level of assurance and observable rigor into the open source supply chain by monitoring Canonical's own estate and raising the robustness of the entire global Ubuntu estate. The SecOps team is responsible for designing, implementing, and evolving Canonical's security practices, tools, systems, and policies to secure data, internal infrastructure, and build processes. They also contribute to the security of the wider open source ecosystem through knowledge sharing and threat intelligence initiatives.

Senior Machine Learning Engineer

Company: Loka, Inc

Location: Remote

Posted Nov 26, 2025

Loka, a Silicon Valley-based tech consultancy, is seeking a Senior Machine Learning Engineer to join their team. The role involves designing and implementing ML solutions, leading client communications, and collaborating with cross-functional teams. The company values mission-driven work, remote work culture, and continuous learning.

Research Scientist - Music

Company: Spotify

Location: Remote

Posted Nov 26, 2025

Spotify is seeking a Research Scientist to join their ArtistFirst AI Music lab, which pioneers generative technologies for music to create breakthrough experiences for fans and artists. The role involves conducting groundbreaking research, running large-scale experiments, creating practical applications, collaborating with cross-functional teams, and engaging with the research community. The ideal candidate should have a PhD in a related field, experience in generative modeling or music information retrieval, strong coding skills, and a passion for building products that add value to millions of people.

Engineering Manager - Build and Release Infrastructure

Company: Canonical

Location: Remote

Posted Nov 26, 2025

Canonical is a leading provider of open source software and operating systems. The company is hiring an Engineering Manager to shape the future of open source development with Launchpad, a powerful platform used by influential open source projects. The role involves leading a distributed team, fostering technical excellence, and driving the evolution of Launchpad.

Chief Software Architect

Company: Masabi

Location: Remote

Posted Nov 26, 2025

Masabi is driving fare payment innovation with a global platform used in 250+ locations. The role of Chief Architect involves shaping technology strategy, leading AI/Data initiatives, and fostering collaboration. The company emphasizes purpose, growth, and an inclusive culture with competitive benefits.

Senior Data Scientist - Product

Company: Apollo.io

Location: Remote

Posted Nov 26, 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.

Design Engineer

Company: ElevenLabs

Location: Remote

Posted Nov 26, 2025

ElevenLabs is a leading audio AI company that has developed humanlike speech technology. They have raised significant funding and achieved a high valuation. The company offers a Creative Platform and Agents Platform powered by proprietary AI models. They are seeking a website engineer to create worldclass pages and microsites.

Juju Software Engineer (Go)

Company: Canonical

Location: Remote

Posted Nov 26, 2025

Canonical is a leading provider of open source software and operating systems, with a focus on enterprise and technology markets. The company offers a globally remote role for a Software Engineer to contribute to the development of Juju, an open source project that powers complex distributed software systems. Canonical is a pioneer of global distributed collaboration, with a founder-led, profitable, and growing company culture.

GTM Enablement Manager - Onboarding & Success

Company: SQUIRE

Location: Remote

Posted Nov 26, 2025

SQUIRE is a leading business management system for barbershop owners, providing tools, resources, and guidance to help them attract customers, manage operations, and increase revenue. The company offers onboarding and training programs for its teams across the US, Canada, and the UK, with a focus on enabling postsales teams to perform at their best potential.

Account Executive

Company: HubSpot

Location: Remote

Posted Nov 26, 2025

The Account Executive role in France involves selling HubSpot software to small businesses, with flexible work arrangements and competitive benefits. Responsibilities include outbound sales, client relationship management, and collaboration with internal teams.

Senior Machine Learning Engineer - NLP

Company: Level AI

Location: Remote

Posted Nov 26, 2025

Level AI, a Series C startup, uses AI to enhance customer engagement and drive growth. They offer roles in cutting-edge AI projects with top tech companies, emphasizing innovation and learning opportunities.

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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