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.

Senior Actuarial Analyst

Company: Liberty Mutual Insurance

Location: USA

Posted Nov 09, 2025

GRS North America Actuarial & Analytics is seeking a Senior Actuarial Analyst to join the General Liability pricing team. The role involves performing complex actuarial analyses, utilizing profit reviews, maintaining reporting infrastructure, providing guidance to underwriting teams, and developing tools to enhance pricing and influence underwriting strategy. The ideal candidate should have strong analytical and communication skills, relevant experience, and proven math and analytical skills.

Senior Solutions Architect

Company: ExtraHop

Location: Remote

Posted Nov 08, 2025

The Solutions Architecture team at ExtraHop focuses on customer success and outcomes rather than billable hours. The team tackles complex business and technology problems across various industries and technologies. The role of a Solutions Architect involves advanced GUI and trigger script development, understanding networking and application design, analyzing customer network topologies, creating technical assets, conducting root cause analysis, developing custom tools, and conducting learning sessions with customers.

Senior Fullstack Engineer (RoR/vue.js), Software Supply Chain Security: Authorization

Company: GitLab

Location: Netherlands,North America,UK

Posted Nov 09, 2025

The Senior Full Stack Engineer role at GitLab focuses on building critical authorization systems for the platform, impacting millions of users. The role involves architecting and implementing next-generation authorization infrastructure, collaborating with security and database teams, and solving complex performance challenges. The team works on a major authorization systems redesign to transform how authorization works across GitLab.

Senior Site Reliability Engineer

Company: MariaDB plc

Location: Dominican Republic

Posted Nov 09, 2025

MariaDB is a widely used database platform powering applications for companies of all sizes, including 75% of the Fortune 500. The company is building a web-based management tool to help customers configure and manage enterprise MariaDB configurations. The role involves designing, implementing, and evolving large-scale cloud-native infrastructure, leading reliability and scalability initiatives, and collaborating with software and platform teams.

Senior Product Designer II - Data Visualization

Company: HubSpot

Location: USA

Posted Nov 09, 2025

The role of Senior Product Designer II at HubSpot focuses on data visualization, with responsibilities including developing a unified Data Visualization Design System, shaping data narratives, championing clarity and accessibility, fostering collaboration, delivering actionable insights, and measuring impact. The company seeks experienced designers with expertise in information design, data visualization principles, and modern design tools.

Machine Learning Engineering Manager - MLOps/AI Platform

Company: Canva

Location: UK

Posted Nov 09, 2025

The job description is for an engineering manager role at Canva's AI Platform Group, which supports AI innovation across the company. The role involves partnering with AI research leadership, coordinating with platform capability teams, owning large cross-team initiatives, coaching a team of engineers, and championing a culture of knowledge sharing. The ideal candidate should have a history of technical people leadership, experience in platform engineering, and excellent problem-solving skills.

Developer Advocate - Community

Company: Datadog

Location: USA

Posted Nov 09, 2025

The text describes a role for a software developer with experience in community relations to help build Datadog's reputation as a leader in DevOps, monitoring, observability, and security. The role involves creating content, engaging with the community, working with ambassadors, speaking at events, designing initiatives, partnering with product teams, and interfacing with open source communities.

Senior Machine Learning Engineer

Company: Spotify

Location: North America

Posted Nov 09, 2025

The Personalization team at Spotify makes music, podcast, and audiobook recommendations for listeners. They are seeking a Senior Machine Learning Engineer to join the team and work on designing, scaling, and refining ML models for personalization. The role involves collaborating with various teams and promoting best practices in ML development.

Software Engineer - Data Infrastructure

Company: Canonical

Location: EMEA

Posted Nov 09, 2025

Canonical is building a comprehensive automation suite for multicloud and on-premise data solutions. The data platform team develops a full range of data stores and technologies, and is looking for engineers to help create and automate features of data platforms.

Senior Staff Software Engineer - Learning Content Experience

Company: Coursera

Location: USA

Posted Nov 08, 2025

The Learning Content Experience (LCE) team at Coursera is responsible for delivering all aspects of the content experience, including content ingestion, generation, authoring, and learner engagement. The Senior Staff Engineer role involves collaborating with technical and cross-functional leaders to set direction for a large engineering organization, building a deep understanding of product and business needs, and identifying opportunities for technology to further the mission. The role also involves working closely with individual teams to deliver on a broad roadmap, influencing technical decisions, and promoting sustainable architectural solutions.

Software Engineer - DOM Core

Company: Mozilla

Location: Poland

Posted Nov 09, 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.

Senior Software Engineer - Backend Platform (Datalake)

Company: Consensys

Location: USA

Posted Nov 09, 2025

Consensys is a leading blockchain and web3 software company founded by Joe Lubin, CEO of Consensys and CoFounder of Ethereum. The company has been at the forefront of innovation since 2014, pioneering technological developments within the web3 ecosystem. Consensys offers a suite of products including MetaMask, Infura, Linea, Diligence, and the NFT toolkit Phosphor, which have become trusted collaborators for users, creators, and developers. The company's mission is to unlock the collaborative power of communities by making the decentralized web universally easy to access, use, and build on.

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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