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.
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.
California Pay Range
$180,000 - $200,000 USD
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