brainco - Machine Learning Engineer, Applied AI
Responsibilities
• 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. • Hold a BSc/Master’s/PhD degree in Computer Science, Machine Learning, Data Science, or a related field. • Have experience building GenAI-focused applications with the latest technologies, including but not limited to Agents, reasoning models and RAG. • Have at least a high level familiarity with the architecture and operation of large language models. • 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
• 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. • 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. • As an AI/ML Engineer, Deployed 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. • Paid Maternity and Paternity Leave • 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.
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