Early-Career ML Engineer: Deploy Real-World AI at Scale

Brain Co.; San Francisco, Northern (CA, KY); Hybrid; USD 140,000 - 190,000; Full time

Benefits offered by this job

Competitive salary

Medical, Dental, and Vision (100% 1)

Paid Maternity and Paternity Leave

401(k)

Daily Lunches

Commuter Benefits

Unlimited PTO

Job summary

Brain Co. is hiring a Machine Learning Engineer to deploy state‑of‑the‑art AI in healthcare, government, energy, and more. You will turn research breakthroughs into practical, scalable AI solutions for various nation states, collaborating with ex‑Founders and industry veterans.

You’ll design and deploy LLMs, build scalable data pipelines, and ensure models deliver measurable impact across sectors. The role blends software engineering, product sense, and leadership in a fast‑growing company.

Qualifications

• 0–2 years of industry experience in applied machine learning or related AI work.
• BSc/Master’s/PhD in Computer Science, Machine Learning, Data Science, or related field.
• Hands‑on experience building GenAI-focused applications and LLM architectures.
• Experience with ML frameworks such as PyTorch, Jax or TensorFlow.
• Strong foundations in data structures, algorithms and software engineering.

Responsibilities

• Design and deploy advanced LLM models to automate complex real‑world processes.
• Build scalable data pipelines and optimize models for production deployment.
• Monitor deployed models to ensure ongoing value across governments worldwide.
• Engage with government officials and senior engineers to deliver AI solutions.
• Participate in code reviews and promote high‑quality engineering practices.

Skills

Applied ML

GenAI apps

PyTorch

JAX

TensorFlow

Data structures

Software engineering

Problem solving

Cross-functional teamwork

Education

CS/ML degree

Job description

Brain Co. is hiring a Machine Learning Engineer to deploy state‑of‑the‑art AI in healthcare, government, energy, and more. You will turn research breakthroughs into practical, scalable AI solutions for various nation states, collaborating with ex‑Founders and industry veterans.

You’ll design and deploy LLMs, build scalable data pipelines, and ensure models deliver measurable impact across sectors. The role blends software engineering, product sense, and leadership in a fast‑growing company.