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 AI Engineer

Company: Apollo.io

Location: USA

Posted Nov 18, 2025

Apollo.io is a leading go-to-market solution for revenue teams, trusted by over 500,000 companies globally. Founded in 2015, the company has raised approximately $250 million and is valued at $16 billion. Apollo.io provides an end-to-end platform for sales and marketing teams to source prospects, execute personalized email campaigns, automate booking flows, and manage deals. The company is AI-native and focuses on building advanced AI systems powered by Large Language Models (LLMs) and intelligent agents to improve user productivity.

Head of Design

Company: User Interviews

Location: USA

Posted Nov 18, 2025

User Interviews is a company that connects businesses with diverse audiences for user research. They prioritize talking to customers, understanding their behavior, and building products that customers love. The company values high agency, bias to action, and thoughtful risk-taking. They are building a product loved by designers and researchers at world-class companies, with a focus on AI and remote work culture.

Senior JavaScript Engineer

Company: Nearform

Location: Italy

Posted Nov 18, 2025

Nearform is a global team of data, AI, and engineering experts who build intelligent digital solutions for leading enterprises. They are seeking a Senior JavaScript Engineer to design and build applications using JavaScript, with a focus on Node.js and React. The role involves collaborating with clients, optimizing application performance, and working in an agile environment. Nearform offers competitive benefits, including remote work, flexible hours, training allowances, and a pension plan.

Associate Paralegal - Privacy

Company: GitLab

Location: USA

Posted Nov 18, 2025

The Associate Paralegal Privacy role at GitLab involves supporting the global data privacy program by managing data subject requests, responding to government inquiries, reviewing vendor agreements, and ensuring compliance with privacy laws. The role requires collaboration with support engineers, legal teams, and cross-functional teams to uphold privacy standards and navigate global data protection challenges.

Senior Python Software Engineer

Company: Nearform

Location: Ireland

Posted Nov 18, 2025

Nearform is a global team of data, AI, and engineering experts who build intelligent digital solutions for leading enterprises. They are seeking a Senior Python Software Engineer to design and build applications using Python, with a focus on FastAPI and Pydantic frameworks. The role involves collaborating with clients, optimizing application performance, and working in an agile environment.

Principal Data Scientist - Ads

Company: Reddit

Location: USA

Posted Nov 18, 2025

Reddit seeks a Principal Data Scientist to lead advanced analytics and drive ad platform innovation, offering competitive compensation and benefits.

Senior Lead Machine Learning Engineer - AI Agents

Company: Upwork

Location: USA

Posted Nov 18, 2025

This text promotes Upwork's AI-powered work marketplace and highlights its global impact, emphasizing opportunities for businesses and talent. It describes a senior role in developing AI agent systems and outlines the company's mission to create economic opportunities through innovation. The message focuses on growth, collaboration, and inclusive leadership while showcasing benefits and career prospects.

Senior Machine Learning Platform Engineer

Company: Synthesia

Location: Europe,UK,Switzerland

Posted Nov 18, 2025

Synthesia aims to simplify video creation with AI, highlighting its growth and a senior MLOps role requiring DevOps and cloud expertise.

Staff/Senior Trading Technology Engineer

Company: Ethena Labs

Location: Anywhere

Posted Nov 18, 2025

Ethena Labs is a rapidly growing company building innovative digital dollar products and infrastructure for the decentralized finance ecosystem. They are expanding their team to develop a next-generation trading platform and are seeking experienced professionals in trading systems development, software engineering, and financial markets.

Junior Account Manager

Company: WeLearn

Location: South Africa

Posted Nov 18, 2025

WeLearn is a rapidly growing startup founded by former Google and Facebook strategists and project managers. They partner with content creators and influencers to support their businesses. The company is looking for talented and driven individuals to join their team and help onboard and manage creators and influencers towards performance goals. The founders value a positive, proactive, and entrepreneurial attitude, and are seeking individuals with strong interpersonal skills and a willingness to learn.

Intermediate Backend Engineer (Ruby), AI Engineering, Custom Models

Company: GitLab

Location: North America,Latin America,EMEA

Posted Nov 18, 2025

The Custom Models team at GitLab is responsible for developing and maintaining key components of GitLab AI, allowing customers to run GitLab Duo features in private environments. The team collaborates with various teams to ensure a complete lifecycle of features, focusing on customization controls and a smooth experience for large customers. The role involves fullstack development using JavaScript, Ruby on Rails, and Python, with opportunities to work on both frontend and backend components. The team values asynchronous work, code quality, and performance optimization.

Sales Development

Company: ElevenLabs

Location: India

Posted Nov 18, 2025

ElevenLabs is a leading audio AI company with significant growth and innovative offerings. They seek a Sales Development Representative in India to drive outbound sales and partnerships.

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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