Why InterviewStack
Jobs from hundreds of ATS platforms and career pages — every listing AI-enriched with verified roles, normalized skills, salary data, and benefits.
Every listing is processed by AI to extract role types, skills, experience levels, salary ranges, and benefits — even when the original posting is incomplete.
Aggregated from Greenhouse, Lever, Ashby, SmartRecruiters, Workday, BambooHR, Personio, and more — across Engineering, Product, Data, Design, and other tech roles.
Found a role you like? Use our preparation guides, AI mock interviews, and question banks to prepare specifically for the company and role before you apply.
Avathon
Who We Are & Why Join Us
Avathon is the only physical AI unicorn headquartered in the San Francisco Bay Area, we go beyond models and dashboards we deploy AI that continuously computes across supply chains, energy systems, and industrial operations. Our Operational Technology platform turns fragmented data into real-time, autonomous decisioning across the systems that power the global economy.
This is not digital AI. This is AI for operational reality where latency, constraints, and failure have real-world consequences.
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
About Avathon
We’re hiring a Senior AI Scientist (Transportation & Logistics) at Avathon — where AI meets the real world.
This is a high-impact role at the intersection of operations research, reinforcement learning, and large-scale data systems, focused on building intelligent solutions that transform transportation and logistics networks.
We are looking for a Senior AI Scientist to lead the design and deployment of advanced optimization and machine learning systems across complex transportation ecosystems. You will work on real-world challenges such as routing, scheduling, network optimization, demand forecasting, and asset utilization across multimodal logistics environments including FCL, LCL, FTL, LTL, intermodal, and maritime transportation.
This role offers the opportunity to drive innovation in vessel scheduling, container repositioning, fleet optimization, and dynamic routing, while collaborating closely with engineering, product, and operations teams to bring scalable AI solutions into production.
Key Responsibilities
AI/ML Model Development
Transportation Domain Solutions
Build solutions for:
AI Engineering & Deployment
Data & Feature Engineering
Work with large-scale datasets:
Leadership & Strategy
Required Qualifications
Strong expertise in:
Preferred Qualifications
Experience with:
Key Skills
Publications / Patents:
Interview Process
As part of the interview process, you will be asked to complete a technical assessment.
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!
Contract and temporary roles are not eligible for the above benefits.
Compensation
Pay Range: $160k - $240k 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.
This job is found at InterviewStack.io
