Senior AI Engineer
Company websiteavathon.com (Avathon, opens in new tab)
Base salary $130K to $155K
Employer-published annual base salary, USD. Advertised base range in Pleasanton, CA
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationPleasanton, CA
- WorkplaceWorkplace not stated
- Status at last checkSource accepting applications when checked
- Last checked (3 h ago) · observed since
About this job
Who We Are & Why Join Us
Avathon is the leading Industrial AI autonomy platform, helping customers across heavy industries -- energy, mining, manufacturing, aerospace, defense, and logistics -- accelerate the journey toward autonomous operations. Our platform is built on a Computational Knowledge Graph foundation that contextualizes and connects operational data across siloed systems, bringing together time series, structured, unstructured, and machine vision data to power AI-driven applications in asset performance management, supply chain intelligence, visual AI, and global trade management. With capabilities spanning digital twins, normal behavior modeling, natural language processing, and computer vision, Avathon delivers real-time predictive intelligence and agentic decision-making at industrial scale.
Cutting-Edge AI Innovation -- Join a team at the forefront of AI, developing groundbreaking solutions that shape the future. High-Growth Environment -- Thrive in a fast-scaling startup where agility, collaboration, and rapid professional growth are the norm. Meaningful Impact -- Work on AI-driven projects that drive real change across industries and improve lives.
Learn more at: avathon.com
About the Role
As a Senior AI Engineer at Avathon, you will play a key role in designing and delivering advanced AI solutions with a strong emphasis on Generative AI and Large Language Models (LLMs). You will apply scientific rigor to develop scalable, production-ready machine learning systems that drive measurable business impact, working on challenging problems in forecasting, demand planning, renewable energy optimization, anomaly detection, and prescriptive maintenance. With minimum 5 years of industry experience, you are expected to bring strong expertise in statistical modeling, ML engineering, and modern AI architectures, particularly in GenAI and LLM-based applications. This role offers the opportunity to work on high-impact projects that shape next-generation AI capabilities within the organization.
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
- 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
- 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
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.
CompensationPay 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.
Source: Avathon on Greenhouse · View original posting (opens in new tab)
Pay in context
This role's base floor ($130,000) is above 8% of the 1,511 Data & ML roles in California listed on this site; 9 others list the same floor. Their median floor is $187,000; the middle half runs from $159,311 to $229,700.
Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 7, 2026.
This listingSenior AI Engineer$130K to $155K
Forward Deployed Design Lead — Asset Performance Management$130K to $155K
Senior Product Manager, Planning$140K to $180K
Senior Product Manager, Platform$140K to $180K
Senior Product Manager, PLM$140K to $180K
Senior Product Manager, Transportation & Logistics$140K to $180K
Corporate Strategist, Go-to-Market Strategy$150K to $190K
Chart as a table
| Role | Published base |
|---|---|
| Senior AI Engineer (this listing) | $130K - $155K |
| Forward Deployed Design Lead — Asset Performance Management | $130K - $155K |
| Senior Product Manager, Planning | $140K - $180K |
| Senior Product Manager, Platform | $140K - $180K |
| Senior Product Manager, PLM | $140K - $180K |
| Senior Product Manager, Transportation & Logistics | $140K - $180K |
| Corporate Strategist, Go-to-Market Strategy | $150K - $190K |
Observed changes
- Began meeting the published-salary criteria
- First observed on the employer's board
- Observed since
- Employer-stated posting date
- 2026-02-02
Where this pay comes from
Location as the employer wrote it: Pleasanton, California, United States
Pay Range: $130k - $155k salary annually. Pay for this position is based on a number
- Method
- Employer text, read with fixed rules and re-verified
- Checked
- Rule set
- us-base-v2
The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.
What we verified
- The pay figures come from the employer's own listing, quoted exactly above.
- The pay is an annual base salary in US dollars with a minimum of at least $100,000.
- The role was publicly listed on the employer's job board when last checked.
We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.
