Every job at top
AI companies
in one place
From ML Engineer to Frontend, Backend, DevOps, and Design — every role at AI companies and startups.
Sourced from 10+ platforms. Updated daily.
Aggregating from
Fresh Opportunities
Latest additions to the database.
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Every role at AI companies — from ML to Frontend, Backend, and beyond.
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Frequently Asked Questions
Common questions about AI jobs and how TixelJobs works.
What are the highest-paying AI jobs in 2026?
The highest-paying AI roles in 2026 are Staff and Principal ML Engineers ($300K-$500K+ total compensation), AI Research Scientists at frontier labs like OpenAI and Anthropic ($250K-$450K), and Machine Learning Infrastructure Engineers ($200K-$400K). Senior-level positions in MLOps, NLP, and Computer Vision regularly exceed $200K base salary at major tech companies. Staff-level AI Product Managers and Technical Directors of AI also command $250K-$400K packages. Compensation is highest at frontier AI labs, large tech companies (Google DeepMind, Meta FAIR, NVIDIA), and well-funded AI startups. Remote roles from US-based companies often pay at or near these ranges regardless of location.
How many AI jobs are available right now?
TixelJobs currently lists 0 active positions across AI companies and startups worldwide. We aggregate roles from over 1,000 company career pages using Greenhouse, Ashby, and Lever APIs, plus major job platforms including Indeed, LinkedIn, Google Jobs, Glassdoor, and ZipRecruiter. Our database is updated twice daily with new listings scraped, classified, and reviewed before going live. This covers every department at AI companies — not just ML roles, but also Frontend, Backend, DevOps, Design, Product Management, and more. New jobs are added continuously, with hundreds of fresh listings appearing each week from both established AI labs and emerging startups.
Which companies are hiring the most AI engineers?
The most active AI hirers on TixelJobs include OpenAI, Anthropic, Google DeepMind, Meta, NVIDIA, Databricks, Scale AI, Hugging Face, Cohere, and Tesla. These companies consistently post dozens of open roles across ML engineering, research, and infrastructure. Well-funded startups like Mistral AI, Runway, Stability AI, and Anyscale are also aggressively hiring. Enterprise companies building AI teams — including Apple, Amazon, Microsoft, Salesforce, and Stripe — round out the top employers. We also track hiring at YC-backed AI startups, many of which offer competitive compensation and equity packages. Browse company-specific listings by searching any company name on our jobs page.
Can I find remote AI jobs on TixelJobs?
Yes, TixelJobs has 0 remote-friendly positions out of 0 total listings — roughly 0% of all roles. Use the “Remote” filter on the jobs page to show only remote positions. Remote AI jobs span every category: ML Engineering, Data Science, NLP, MLOps, Frontend, Backend, DevOps, and Product Management. Many frontier AI labs and startups now offer fully remote or hybrid arrangements, especially for senior and staff-level engineers. Remote roles from US-based companies frequently offer salaries competitive with on-site positions in major tech hubs like San Francisco, New York, and Seattle.
What skills do I need for an entry-level AI job?
Entry-level AI roles typically require proficiency in Python and at least one deep learning framework (PyTorch or TensorFlow). Strong foundations in linear algebra, probability, statistics, and core ML algorithms are essential. Familiarity with data manipulation libraries like NumPy, Pandas, and scikit-learn is expected. For ML Engineer roles, experience with model training, evaluation, and deployment pipelines adds significant value. Many successful candidates build portfolios through Kaggle competitions, open-source contributions, or personal projects. Recommended learning paths include fast.ai, Andrew Ng's Machine Learning Specialization on Coursera, Stanford CS229, and hands-on bootcamps like Springboard or Insight. A bachelor's degree in CS, math, or a related field is common, though strong portfolios can substitute.
What is TixelJobs?
TixelJobs is a curated job board for AI companies. We aggregate every open role — from ML Engineer and Data Scientist to Frontend Developer, Backend Engineer, DevOps, Product Designer, and Product Manager — at top AI companies and startups. We source listings from Indeed, LinkedIn, Google Jobs, Glassdoor, ZipRecruiter, Y Combinator, RemoteOK, Himalayas, and direct company career pages through Greenhouse, Ashby, and Lever APIs.
Every job listing goes through a two-stage review process. First, our automated system classifies each role by category and experience level, extracts salary data, and detects duplicates across sources. Then, human reviewers verify quality, accuracy, and completeness before a listing appears on the public site. For AI/ML roles, we source from 10+ job aggregators. For non-ML roles like Frontend, Backend, and DevOps, we pull directly from AI company career pages to ensure every listing is at a genuine AI company.
We currently track 0 active positions across 95+ countries, with 0 remote roles available. Our database is updated twice daily, covering roles from entry-level to executive at companies ranging from frontier AI labs like OpenAI, Anthropic, and Google DeepMind to well-funded startups and enterprise employers. Average reported salaries on TixelJobs are competitive per year.
TixelJobs is free for job seekers. You can search by job title, company, skill, location, experience level, salary range, or remote availability. Whether you want to build AI models or build the products that bring AI to the world, TixelJobs helps you find the right role at the right company.