Machine Learning Engineer

Machine Learning Engineer
Menlo Park, CA

On-Site

Full-Time/Direct Hire 

Client Opportunity | Through Phizenix

Phizenix, a certified minority and women-led recruiting firm, is hiring on behalf of an innovative generative AI startup that’s developing diffusion-based large language models—designed for faster generation, multimodal integration, and greater control.

We’re looking for a Machine Learning Engineer to join our client’s world-class team. This is a chance to work at the frontier of AI research, turning cutting-edge ideas into high-impact enterprise solutions.

Responsibilities

• Design, train, and optimize state-of-the-art LLMs

• Build scalable and efficient ML pipelines for training and inference

• Translate real-world business needs into ML-powered features

• Collaborate closely with product, research, and engineering teams

• Support deployment and ensure production-grade reliability

Must-Haves

• PhD in Machine Learning, or related field (or equivalent experience)

• 2+ years of hands-on experience with machine learning frameworks (e.g., PyTorch)

• Strong understanding of transformer architectures and LLM concepts (instruction tuning, LoRA, etc.)

• Experience with distributed training and working in cloud environments (AWS, GCP, or Azure)

• Proficiency with Git, Docker, and modern ML deployment practices

• Strong communication skills and ability to collaborate cross-functionally

Nice-to-Haves

• Experience with LLM-serving tools (vLLM, TensorRT, SGLang)

• Knowledge of MLOps, synthetic data pipelines, or data engineering

• Familiarity with model optimization techniques (quantization, pruning, etc.)

At Phizenix, we value diversity, equity, and inclusion. We’re proud to work with clients who share our commitment to building inclusive teams that reflect a wide range of backgrounds and perspectives.

Interested? Reach out to the Phizenix team to learn more and apply. Let’s build the future of AI—together.