ML 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.

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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

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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

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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.)

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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.