Note: The job is a remote job and is open to candidates in USA. Attis is a staffing agency representing a well-funded defense AI scaleup developing high-performance artificial intelligence systems for tactical-edge environments. The Machine Learning Engineer will build foundational research and engineering capabilities, including data acquisition and processing, model training, compression, high-performance kernels, and infrastructure for distributed and edge machine learning.
Responsibilities
- Build libraries and owning codebases within one of the following (or more): • Large scale evaluations • Distributed model training environments; • Complex training architectures (distillation, RL, etc.); • Specialized reinforcement learning gyms • Compute and cluster management • Kernel Development • ML at the edge
Skills
- Experience building libraries and owning codebases within one of the following (or more):
- Large scale evaluations
- Distributed model training environments
- Complex training architectures (distillation, RL, etc.)
- Specialized reinforcement learning gyms
- Compute and cluster management
- Kernel Development
- ML at the edge
- Machine Learning Engineering, MLE, Large Language Models, LLM, Foundation Models, Model Training, Distributed Training, Distributed Systems, Data Processing, Data Pipelines, Scalable Data Processing, Training Infrastructure, ML Infrastructure, ML Systems, Model Infrastructure, Model Serving, Parallel Computing, GPU Computing, CUDA, Compute Kernels, High-Performance Computing, HPC, Reinforcement Learning, RL, Model Distillation, Quantization, Model Compression, Cluster Management, Model Evaluation, MLOps
- Active clearance to work on projects related to US Space Force, DoW, DoD etc
Benefits
- Equity
- Fully remote working in the US
- Other benefits
Company Overview