Brain Co.

Company Name: Brain Co.
Job Title: Early Career AI/ML Engineer
Job Description: Job Title: Early Career AI/ML Engineer Role Summary: Deploy and optimize large language models to automate complex processes in healthcare, government, and energy. Own the end‑to‑end pipeline—from data ingestion to production deployment—and collaborate directly with cross‑functional teams and government stakeholders. Expectations: 0‑2 years of applied ML experience, strong foundation in CS/ML, proactive problem‑solving, ability to work in fast‑paced, high‑impact environments, willingness to learn and take full ownership of projects. Key Responsibilities: - Design, train, and deploy advanced LLMs for real‑world automation. - Build scalable data pipelines and fine‑tune models for performance and accuracy. - Monitor, evaluate, and maintain deployed models to sustain value. - Engage with government officials and cross‑functional teams to translate business challenges into AI solutions. - Conduct code reviews, share knowledge, and uphold high‑quality engineering practices. - Iterate prototypes into production‑grade deployments. Required Skills: - Python programming with PyTorch, JAX, or TensorFlow experience. - Hands‑on GenAI applications (agents, reasoning workflows, RAG). - Understanding of LLM architecture and operation. - Strong data‑structures, algorithms, and software‑engineering fundamentals. - Excellent analytical and problem‑solving skills. - Collaborative mindset in cross‑functional teams. - Self‑motivated to own end‑to‑end projects. Required Education & Certifications: - BSc, MSc, or PhD in Computer Science, Machine Learning, Data Science, or related field. - Relevant coursework in ML, NLP, or AI preferred.

San francisco bay, United states

Hybrid

Fresher

05-02-2026

Company Name: Brain Co.
Job Title: AI/ML Engineering Internship Summer 2026
Job Description: **Job Title**: AI/ML Engineering Intern – Summer 2026 **Role Summary** Interns design, build, and deploy large‑language‑model (LLM) driven AI solutions for complex industry problems (healthcare, government, energy). They work with a small team of senior engineers, learn the end‑to‑end ML lifecycle, and see their code production‑ready at a global scale. **Expectations** - Undergraduate sophomore or junior in CS, ML, Data Science, or related field. - Strong Python programming and data‑structure fundamentals. - Coursework or projects in machine learning or AI. - Interest in LLMs, GenAI, RAG, or reasoning agents. - Familiarity or willingness to learn PyTorch, JAX, or TensorFlow. - Ability to own tasks end‑to‑end under mentorship. **Key Responsibilities** - Design & deploy LLM‑powered applications to automate real‑world workflows. - Build & optimize data pipelines for model training and evaluation. - Process structured and unstructured data (text, documents, logs). - Prepare models for production deployment, including monitoring & scaling. - Collaborate with senior engineers, researchers, and product teams. - Participate in code reviews, design discussions, and mentorship sessions. **Required Skills** - Programming: Python. - Machine learning fundamentals, including supervised/semi‑supervised learning. - Experience with deep‑learning frameworks (PyTorch, JAX, TensorFlow). - Exposure to LLM concepts, embeddings, retrieval‑augmented generation, or agentic workflows. - Strong data‑structures and algorithms knowledge. - Analytical thinking and problem‑solving mindset. **Required Education & Certifications** - Current undergraduate student (sophomore or junior) pursuing a bachelor’s degree in Computer Science, Machine Learning, Data Science, or a closely related discipline. - No specific certifications required.

San francisco bay, United states

Hybrid

11-02-2026

Company Name: Brain Co.
Job Title: AI Product Engineering Internship Summer 2026
Job Description: Job title: AI Product Engineering Intern – Summer 2026 Role Summary: Execute design, development, and deployment of AI‑powered products across front‑end, back‑end, and data pipelines; collaborate with product, research, and engineering teams to turn customer problems into production‑grade software. Expectations: * Deliver functional features within sprint cycles and participate in code reviews. * Translate user and stakeholder inputs into clear technical specifications. * Demonstrate ownership of tasks and the ability to iterate based on real‑world feedback. * Communicate progress and technical decisions effectively across cross‑functional teams. Key Responsibilities: * Prototype, build, and ship AI‑enabled features for internal tools and customer‑facing applications, using modern web technologies. * Integrate machine‑learning models (including large language models) into scalable software systems on cloud platforms. * Collaborate with engineers, researchers, and operations to test, debug, and optimize performance, reliability, and usability of deployed services. * Analyze usage data and model outputs to drive iterative improvements driven by customer feedback. * Participate in sprint planning, design discussions, and knowledge‑sharing sessions. Required Skills: * Proficient in Python and TypeScript; experience with React, REST APIs, and cloud services (e.g., AWS, GCP, Azure). * Solid understanding of software engineering fundamentals: version control, unit testing, CI/CD, and responsive design. * Familiarity with ML deployment concepts: model serving, inference latency, scalability, and monitoring. * Strong analytical and problem‑solving capabilities in ambiguous, fast‑paced environments. * Excellent written and verbal communication; ability to collaborate across multidisciplinary teams. Required Education & Certifications: * Current undergraduate or graduate student in Computer Science, Engineering, Artificial Intelligence, or a related technical field (B.A./B.S., M.S., or Ph.D. candidates). * No formal certifications required, though coursework or projects in machine learning, data science, or product development is advantageous.

San francisco bay, United states

Hybrid

11-02-2026

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