You Will
Design, develop, and deploy machine learning and Generative AI solutions to solve complex business problems
Build, fine-tune, and optimize Large Language Models (LLMs) and transformer-based architectures for real-world applications
Apply rigorous scientific methodologies to experimentation, model evaluation, and performance optimization
Develop scalable ML pipelines and production-grade systems in collaboration with Engineering teams
Conduct prompt engineering, model alignment, evaluation, and performance benchmarking for GenAI applications
Work closely with Product, Engineering, and Business stakeholders to translate ambiguous requirements into data-driven AI solutions
Instrument and monitor LLM applications in production using observability tools, tracking cost, latency, quality, and drift
Contribute to model governance, responsible AI practices, and performance monitoring in production environments
Stay current with advancements in Generative AI, LLM research, and applied machine learning, incorporating relevant innovations into company solutions
You'll Have
Master’s or PhD in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative field
Minimum 5 years of hands-on industry experience in AI engineering, machine learning, data science, or applied AI roles
Strong experience with Generative AI frameworks and Large Language Models (e.g., transformer architectures, fine-tuning, RAG systems)
Proficiency in Python and modern ML/AI libraries such as PyTorch, TensorFlow, Hugging Face, or equivalent ecosystems
Solid understanding of statistical modeling, experimentation, and model evaluation methodologies
Experience building and deploying ML models into production environments
Familiarity with data engineering workflows and cloud-based ML platforms (AWS, GCP, or Azure)
Strong problem-solving skills with the ability to work independently on complex and ambiguous problem statements
Excellent communication skills with the ability to present technical insights clearly to cross-functional stakeholders
Preferred Qualifications
Experience implementing Retrieval-Augmented Generation (RAG), vector databases, and embedding-based search systems
Hands-on experience with LLM observability platforms (e.g., Langfuse, LangSmith, Arize Phoenix, Weights & Biases) for tracing, cost tracking, and quality monitoring in production
Experience with LLM evaluation frameworks (e.g., RAGAS, DeepEval) and evaluation patterns such as LLM-as-judge and automated regression testing
Practical experience deploying LLM applications with guardrails, prompt versioning, hallucination detection, and model drift monitoring
Exposure to distributed training, model optimization, and scalable inference architectures
Knowledge of MLOps practices, CI/CD for ML (Travis CI, Jenkins), and model lifecycle management
Prior experience applying AI solutions in industrial or asset-intensive environments
Experience working in fast-paced startup or product-driven environments
Industry experience in one or more of the following domains: Mining, Oil & Gas, Aerospace, Supply Chain, Logistics, or Renewable Energy
Benefits & Perks
What are the benefits and perks at Avathon? Below are some highlights we offer to our U.S. full-time employees -- we'd love to connect and share more!
Evolving culture with the opportunity to drive new ideas and technology
Stock Option Grants
Medical Coverage and Parental Leave Plans
401k with Employer Match
Monthly Technology Allowance
Newly renovated office space located near Pleasanton, CA -- including fully stocked beverage and snack areas
Contract and temporary roles are not eligible for the above benefits.
Compensation
Pay Range: $130k - $155k salary annually. Pay for this position is based on a number of factors including geographic location and may vary depending on job-related knowledge, skills, and experience.
Location: This role is not remote. Candidates must be based in the Bay Area, CA and are expected to report to our Pleasanton office 5 days a week.
Avathon is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, pregnancy, genetic information, disability, status as a protected veteran, or any other protected category under applicable federal, state, and local laws.
Avathon is committed to providing reasonable accommodations throughout the recruiting process. If you need a reasonable accommodation, please contact us to discuss how we can assist you.
