Role overview
- Have 0-2 years of industry experience in applied machine learning or related AI work.
- Hold a BSc/Master’s/PhD degree in Computer Science, Machine Learning, Data Science, or a related field.
- Have hands-on experience building GenAI-focused applications (e.g., agents, reasoning workflows, or RAG) and a solid understanding of how large language models are architected and operated.
- Have personally implemented models in common ML frameworks such as PyTorch, Jax or TensorFlow.
- Possess a strong foundation in data structures, algorithms, and software engineering principles.
- Exhibit excellent problem-solving and analytical skills, with a proactive approach to challenges.
- Can work collaboratively with cross-functional teams.
- Thrive in fast-paced environments where priorities or deadlines may compete.
- Are eager to own problems end-to-end and willing to acquire any necessary knowledge to get the job done.
Benefits
- Competitive salary
- Medical, Dental, and Vision (100% Coverage)
- Paid Maternity and Paternity Leave
- 401(k)
- Daily Lunches
- Commuter Benefits
- Unlimited PTO
- Ship quickly, iterate constantly and see your work deployed at global scale
- Collaborate with industry veterans from Tesla, DeepMind, Databricks, and more
- Accelerate your career with ownership based on impact, not tenure
- Earn competitive compensation + meaningful equity in a high-growth company
- Thrive in a culture built on speed, curiosity, and impact
If you want to see your work deployed at scale with real impact, Brain Co. is the place to build.
Tags & focus areas
Used for matching and alerts on DevFound Fulltime Ai Ai Engineer Machine Learning