Early Career Machine Learning Engineer, Applied AI

Brain Co.
San Francisco
Workplace: HybridFull timeFunction: Data Science & Machine Learning0Skills: ["Problem-solving","Analytical skills","Proactive","Collaboration","End-to-end ownership"]

Build and deploy advanced LLM models to automate complex real-world workflows across healthcare, government, and energy. You’ll optimize and scale data pipelines, prepare models for production, and monitor deployed systems to ensure ongoing performance and accuracy. Partner with a cross-functional, research-to-production team, collaborate on code reviews, and turn research breakthroughs into measurable customer impact at global scale.

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FursaFursa
Brain Co.
Brain Co.
6 months ago

Early Career Machine Learning Engineer, Applied AI

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 4 hours agoStatus: Live

Job Summary

Build and deploy advanced LLM models to automate complex real-world workflows across healthcare, government, and energy. You’ll optimize and scale data pipelines, prepare models for production, and monitor deployed systems to ensure ongoing performance and accuracy. Partner with a cross-functional, research-to-production team, collaborate on code reviews, and turn research breakthroughs into measurable customer impact at global scale.
Location: San Francisco
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Entry level

Key Responsibilities

  • •Design and deploy advanced LLM models to automate real-world problems across multiple verticals.
  • •Build scalable data pipelines, optimize models for performance and accuracy, and prepare them for production.
  • •Monitor and maintain deployed models to ensure they continue delivering value for governments and other stakeholders.
  • •Work on projects spanning energy production optimization, government workflow modernization, and improved patient outcomes.
  • •Stay current with ML/AI developments, participate in code reviews, and share knowledge while driving high-quality engineering practices.

Pay and Benefits

Equity and Bonus:Equity
Perks:Health InsuranceDentalVisionMaternity LeavePaternity Leave401kPaid LeaveMeal AllowanceCommuter Benefits

Key Requirements

  • •0-2 years of industry experience in applied machine learning or related AI work.
  • •BSc/Master’s/PhD degree in Computer Science, Machine Learning, Data Science, or a related field.
  • •Hands-on experience building GenAI applications such as agents, reasoning workflows, or RAG.
  • •Implemented models in common ML frameworks such as PyTorch, Jax, or TensorFlow.
  • •Strong foundation in data structures, algorithms, and software engineering principles.
Experience:0Applied machine learningGenAILLM
Education:
Skills:Problem-solvingAnalytical skillsProactiveCollaborationEnd-to-end ownership
Tech Stack:LLMAgentsRAGPyTorchJaxTensorFlow

Company Brief

Brain Co.
Brain Co. builds agent-native operating systems for regulated institutions across government, health, insurance, finance, and enterprise. Its platform emphasizes secure deployment, workflow integration, and AI applications tailored to complex operational environments.
Industry: AI & Machine Learning
Growth: Growth Stage Startup
Headquarters: San Francisco, United States
Founded: 2026
WebsiteLinkedIn