AI Summary
Design, implement, and fine-tune machine learning models for production-grade use cases. Curate and manage datasets used in training, validation, and evaluation. Work closely with engineers to integrate ML models into larger systems and monitor their performance in production.
Key Highlights
Design and implement machine learning models
Curate and manage datasets
Integrate ML models into larger systems
Technical Skills Required
Benefits & Perks
Competitive salary
Equity options
Sign-on bonus
Health insurance
Dental insurance
Vision insurance
401k
Job Description
Location: Cambridge, MA (Eastern Time / UTC -4) Relocation package available
Start date: ASAP
Languages: English (required)
About The Role
Pragmatike is hiring on behalf of a fast-growing AI startup recognized as a Top 10 GenAI company by GTM Capital, founded by MIT CSAIL researchers.
If you're passionate about applied AI and enjoy solving real problems in a fast-paced environment, wed love to meet you.
Responsabilities:
- Design, implement, and fine-tune machine learning models for production-grade use cases.
- Curate and manage datasets used in training, validation, and evaluation.
- Work closely with engineers to integrate ML models into larger systems and monitor their performance in production.
- Ensure that AI solutions are efficient, maintainable, and aligned with business objectives.
- Maintain thorough documentation for reproducibility and team collaboration.
- Solid hands-on experience with AI/ML systems from development to deployment.
- Proficient in Python; familiarity with TypeScript or Go for integration tasks is a plus.
- Strong command of tools and frameworks such as PyTorch, Transformers, Llama-factory, VLLM, Megatron-LM, and CUDA.
- Comfortable working with cloud environments (AWS, GCP, or Azure) and containerized deployments (Docker, Kubernetes).
- Strong communication and team collaboration skills.
- Experience deploying models at scale in production environments.
- Familiarity with CI/CD and DevOps workflows for ML applications.
- Previous experience in high-paced, innovation-driven environments (e.g., startups).
- Background in systems-level optimization for machine learning workloads.
- Research pedigree: MIT CSAIL founders recognized for breakthrough AI and systems contributions.
- Customer impact: Deploy AI solutions powering Fortune 500 clients.
- Industry momentum: Lab alumni have led high-value acquisitions (MosaicML Databricks, Run:AI Nvidia, W&B CoreWeave).
- Funding & growth: Oversubscribed seed round, next funding in 2026.
- Career growth & influence: Lead AI initiatives, optimize pipelines, and directly impact production AI systems at scale.
- Culture & autonomy: Own critical systems while collaborating with world-class engineers.
- Aspirational impact: Solve frontier-level AI/ML challenges that few engineers encounter.
- Competitive salary & equity options
- Sign-on bonus
- Health, Dental, and Vision
- 401k