AI Engineer
GW49
Posted: 15/09/2025
- $150,000-$350,000
- Cambridge, MA
- Permanent
About the job
AI/ML Engineer - Cambridge, MA (Onsite)
An MIT spin-out building a platform that makes AI faster, cheaper, and easier to deploy - cutting costs up to 90% with 2×-15× performance gains for enterprise customers are looking for an AI Engineer to join their team.
What Will I Be Doing?
- Scale AI systems in production - Deploy, optimize, and maintain machine learning models at enterprise scale (not single-GPU research)
- Performance engineering - Optimize AI deployments, accelerate inference, and solve scalability challenges
- End-to-end ownership - From curating large datasets to monitoring production AI workloads
- Systems integration - Collaborate with engineering teams to build reliable, maintainable AI infrastructure
- Real-world impact - Work on live Fortune 500 proof-of-concepts and enterprise deployments
What We're Looking For:
- Large-scale AI systems experience (training/inference beyond single GPU)
- Performance engineering background with AI deployment optimization
- Production ML expertise - PyTorch, VLLM, Llama-factory, Transformers, Megatron-LM, CUDA
- Cloud & containerization - AWS/GCP/Azure, Docker, Kubernetes
- Strong Python, plus TypeScript or Go for integration
Bonus points:
- DevOps practices and automated deployment pipelines
- Startup experience in fast-paced environments
- Direct experience with multi-GPU training/inference systems
What's In It For Me?
- Pre-Series A startup ($10M seed, Series A planned 2026)
- Direct impact on Fortune 500 customers and live enterprise deployments
- Work with MIT CSAIL researchers and industry veterans
- Competitive salary, equity, and benefits
Apply now for immediate consideration!
Kirstie Moffat
ML Research & Engineering Recruiter