Machine Learning Engineer, Driving Foundation Models

• Data Curation & Pretraining: Design and manage massive, multi-terabyte datasets, including data scraping, filtering, deduplication, tokenization, and synthetic data generation.

• Distributed Model Training: Scale training across massive GPU/TPU clusters using parallel processing, custom data loaders, and framework optimization (PyTorch, JAX, or TensorFlow).

• Post-Training & Alignment: Implement instruction tuning, Reinforcement Learning from Human Feedback (RLHF), or direct preference optimization to align models with safety and behavior goals.

• Inference & Optimization: Compress and optimize models (quantization, pruning, speculative decoding) to run at low latency on cloud infrastructure or edge hardware like smartphones and robotics.

• Evaluation & Guardrails: Build benchmarking harnesses, hallucination checkers, and red-teaming pipelines to test model accuracy and safety.

• Languages: Python, C++, and Golang (for high-throughput systems).

• Frameworks: PyTorch, JAX, Hugging Face ecosystem, vLLM.

• Infrastructure: Kubernetes, Docker, multi-node distributed training (Megatron-LM, DeepSpeed), and cloud platforms (AWS, Azure, Google Cloud).

• Math & Theory: Linear algebra, calculus, probability, statistics, and deep learning architectures (Transformers, diffusion models).

• Application Review - Coding Test - 1st interview - 2nd interview - Offer Negotiation - Hiring

- The screening procedures may vary depending on the position, schedule, or other circumstances.

• The screening procedures may vary depending on the position, schedule, or other circumstances.

• $175,000 - $250,000

• In accordance with fair hiring practices, do not include any personal information unrelated to your job qualifications (e.g., Social Security Number, family relations, marital status, age, photo, physical condition, place of birth, etc.) in your resume.

• All documents must be submitted in PDF format and under 30MB in size.

• If you experience issues uploading your resume, please send it along with the job posting URL to recruit@42dot.ai.

• We strongly encourage applications from U.S. veterans and candidates eligible for employment preference under applicable laws.

• Qualified individuals with disabilities are encouraged to apply and will receive consideration under the Americans with Disabilities Act (ADA).

• 42dot does not accept unsolicited resumes and will not pay fees for any such submissions. Equal Opportunity Statement

• 42dot is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status.

• How to work in 42dot, About 42dot Way → https://42dot.ai/careers/way