Senior Principal Machine Learning Engineer
AMER - United States - Massachusetts - Boston - Drydock, United States
USD 165K-296K Senior-level Full Time
Tasks
- Architect solutions for distributed training
- Define technical vision for generative AI and foundation model infrastructure
- Develop large-scale training pipelines
- Establish standards for model evaluation versioning monitoring and MLOps
- Integrate multimodal AEC data into model development workflows
- Lead end to end design development and delivery of ML systems
- Mentor engineers and foster technical ownership
- Own model architecture selection and data strategy
- Resolve data processing and model parallelism bottlenecks
- Translate research ideas into scalable performant code
Perks/Benefits
- N/A
Skills/Tech-stack
3D Geometry | Apache Iceberg | BIM | CAD | CUDA | CUDA optimization | Data Pipelines | Deep learning | DeepSpeed | Diffusion Models | Distributed Training | FSDP | Foundation Models | Generative AI | Kubernetes | MLOps | Machine Learning | Megatron-LM | Meshes | Metaflow | Model Monitoring | Model Parallelism | Multimodal Learning | Point clouds | PyTorch | PyTorch distributed | Python | Ray | Reinforcement Learning | Reproducibility | Slurm | Spark | Transformers
Education
Regions
Countries
States
Cities
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