BrainCo logo

Early Career Machine Learning Engineer, Applied AI

BrainCo

Bay Area, CAHybridFull-timeNo compensation foundPosted 7mo agoVerified open 5 days ago

Most applications go out cold — see where you stand first. No sign-up to start.

At a glance

Compensation
No compensation found
Location
Bay Area, CAHybrid
Schedule
Full-time
Work Authorization
Not specified

Requirements

Credentials this posting asks for.

Master's degree

Job overview

BrainCo is hiring an Early Career Machine Learning Engineer, Applied AI. BrainCo is seeking an Early Career Machine Learning Engineer to design and deploy advanced LLM models for real-world problems in healthcare, government, and energy sectors. This role involves turning research breakthroughs into practical solutions, optimizing models for performance, and engaging with leaders to deliver AI-powered solutions. The engineer will contribute to shaping the company and a new category of applied AI.

Key focus areas include Design and deploy advanced LLM models to tackle real-world problems, Build scalable data pipelines, optimize models for performance and accuracy, and Monitor and maintain deployed models to ensure they continue delivering value.

Successful candidates bring BSc/Master’s/PhD Degree In Computer Science, Machine Learning, Data Science Or Related Field. Important skills include LLM Models, Data Pipeline, Model Optimization, Model Deployment, Machine Learning, and GenAI-focused Applications. Preferred (not required): Software Building, Product Management, Sales, and Interpersonal Skills.

Skills & qualifications

RequiredNice to have

Skills

LLM ModelsData PipelineModel OptimizationModel DeploymentMachine LearningGenAI-Focused ApplicationsAgentsReasoning WorkflowsRAGLarge Language Models ArchitectureLarge Language Models OperationPyTorchJaxTensorFlowData Structures and AlgorithmsSoftware Engineering PrinciplesProblem-SolvingAnalytical SkillsProactive ApproachCollaborationHigh-Quality Engineering PracticesSoftware BuildingProduct ManagementSalesInterpersonal Skills

Qualifications

0-2 Years Industry Experience in Applied Machine Learning or Related AI WorkBSc/Master's/PhD in Computer ScienceBSc/Master's/PhD in Machine LearningBSc/Master's/PhD in Related FieldDegree in Data Science

Benefits

Medical Insurance
Dental Insurance
Vision Insurance
Parental Leave
401(k) Match
Paid Time Off

Full job description

OUR MISSION

Rebuild how the world works, to make institutions work better for the people they serve.

ABOUT BRAIN CO.

Brain Co. builds AI-native operating systems for large, regulated institutions. Each system is built for a specific industry, powered by agents that push real workflows forward. Underneath it all is Atlas, our proprietary platform that keeps customers in control, secure by design, and never locked into one model.

WHY NOW

Brain Co. is entering its next phase of production deployments on a national scale with an elite team built from Palantir, Google, Meta, and Nvidia, and a growing footprint across government, insurance, health, and financial services.

Joining now means shaping both the company and a new category of applied AI. Every project here ships to production and is expected to create measurable customer value and impact.

You'll work alongside exceptional peers on some of the hardest problems in applied AI. It’s the kind of work you'll still be proud of in ten years from now.

ABOUT THE ROLE

As a Machine Learning Engineer at Brain Co., you will play a crucial role in deploying state-of-the-art models to automate various real world problems in sectors such as healthcare, government and energy. Part of the role will involve turning research breakthroughs into practical solutions for various nation states. This role is your opportunity to make a significant impact by making AI technology both accessible and influential.

IN THIS ROLE, YOU WILL:

  • Innovate and Deploy: Design and deploy advanced LLM models to tackle real-world problems, particularly in automating complex, manual processes in a range of real-world verticals.

  • Optimize and Scale: 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 across various governments worldwide.

  • Make a Difference: Engage in projects including but not limited to optimizing the world's most advanced energy production systems, modernizing core government workflows, or improving patient outcomes in advanced public healthcare systems. Your work will directly impact how AI benefits individuals, businesses, and society at large.

  • Engage with Leaders: interact directly with government officials in various countries and apply the first of its kind AI solutions while working alongside experienced ex. Founders, AI researchers, and software engineers to understand complex business challenges and deliver AI-powered solutions. Join a dynamic team where ideas are exchanged freely and creativity flourishes. You will be able to wear many hats: software building, product management, sales, interpersonal skills.

  • Learn and Lead: Keep abreast of the latest developments in machine learning and AI. Participate in code reviews, share knowledge, and set an example with high-quality engineering practices.

YOU MIGHT THRIVE IN THIS ROLE IF YOU:

  • 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

WHY JOIN US

  • 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.

You've read the whole posting — now see how you match it.

Early Career Machine Learning Engineer, Applied AI | Olive Jobs