Senior Machine Learning Engineer

What you'll do

• Design, deploy, and optimize LLM systems, including fine-tuning, evaluation, and safety alignment.
• Lead research and product development in representation learning, NLP, semantic modeling, and retrieval-augmented generation.
• Collaborate across teams, mentor researchers, and contribute through patents, publications, and technical leadership.

What they ask for

• Ph.D. in Computer Science, Machine Learning, NLP, Statistics, or a related field—or equivalent industry experience delivering production AI systems.
• Expert knowledge of deep learning and modern NLP, including transformer architectures and foundation model adaptation.
• Experience developing LLMs, including fine-tuning, instruction tuning, and prompt engineering for domain-specific reasoning.
• Proficiency in Python and PyTorch or TensorFlow, with production deployment experience.

Nice to have

• Hands-on experience with RAG pipelines and vector-based semantic search.
• Experience with personalization, ranking, optimization algorithms, or RL/multi-armed bandit platforms.

Pay

USD $184,700–$324,800 base salary; USD $175,000–$308,500 base salary

Tools

LLM, RAG, Python, PyTorch, TensorFlow, Spark, RLHF

AI focus

Generative AI and LLMs for personalization, intelligent automation, customer understanding, and services discovery; includes research, production systems, model adaptation, evaluation, safety alignment, and inference optimization.