Current openings at Avathon

About the Role As a Senior AI Scientist – Planning, you will design and develop the AI and optimization models that power Avathon's planning intelligence - demand forecasting, supply planning, inventory optimization, and S&OP decision support for customers across energy, mining, manufacturing, and logistics. This role sits at the intersection of AI, ML and operations research. You will build models that work with complex supply chain data - demand history, ERP/MRP transactions, and commercial forecasts across multi-echelon networks with long lead times and constrained capacity. The work is equal parts applied research and production delivery. You will develop novel approaches where standard methods fall short and ship them into a platform used by enterprise customers. You will report into the Data Science org and work closely with product and engineering. You Will Build demand forecasting models across industrial verticals, applying probabilistic, hierarchical, and intermittent demand methods where history is short or volatile Design supply planning and inventory optimization models across multi-echelon networks with capacity constraints and variable lead times Formulate and solve optimization problems (MIP, LP, constraint programming) for production scheduling, allocation, and resource planning Build simulation and scenario analysis frameworks to support S&OP and integrated business planning workflows Define evaluation metrics, build backtesting pipelines, and run controlled experiments to measure and improve model performance Integrate cross-domain signals from Avathon's Computational Knowledge Graph -- asset health, logistics, procurement - into planning models Own the path from research to production in collaboration with ML Engineering, delivering scalable and monitored services Mentor junior data scientists on technical depth and OR/ML fundamentals You'll Have Ph.D. or master’s degree in operations research, Industrial Engineering, Statistics, Computer Science, Applied Mathematics, or a related quantitative field 10-15 years of industry experience in applied ML, optimization, or Supply Chain planning systems Deep experience in at least two of: demand forecasting, supply/inventory optimization, production scheduling, or S&OP analytics Proficiency in Python with hands-on experience in optimization solvers (Gurobi, CPLEX, OR-Tools, or similar) or forecasting libraries (Prophet, statsmodels, GluonTS, or similar) Strong foundation in statistical modeling with sound judgment on when simple methods outperform complex ones Experience with supply chain and operational data - demand history, ERP/MRP transactions, and planning system outputs Ability to translate business problems into mathematical optimization or ML formulations Experience deploying models into production environments Preferred Qualifications Ph.D. in Operations Research, Industrial Engineering, Statistics, or a related field Background in supply chain planning platforms or industrial AI (o9, Blue Yonder, Kinaxis, or similar), preferably within the supply chain industry Experience in supply chain planning platforms or industrial AI (o9 Solutions, Blue Yonder, Kinaxis, or similar) preferably from Supply Chain industry. Experience with multi-echelon inventory optimization or network design Familiarity with probabilistic programming or Bayesian methods for demand sensing Experience with cloud ML infrastructure (AWS SageMaker, GCP Vertex, or equivalent) Domain experience in energy, mining, manufacturing, aerospace, or logistics or Track record of publishing or presenting applied OR/ML work as plus 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! 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: $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.

About the Role 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  Design and implement advanced models for:  Fleet optimization and capacity planning  Vehicle routing and scheduling (VRP, TSP variants)  Demand forecasting and optimization  Apply reinforcement learning, optimization algorithms, and hybrid ML + OR approaches  Transportation Domain Solutions  Build solutions for:  Maritime logistics (vessel scheduling, port operations)  Container repositioning and imbalance optimization  Truckload (FTL), less-than-truckload (LTL), and intermodal routing  Incorporate real-world constraints (time windows, capacity, regulations, SLAs)  AI Engineering & Deployment  Productionize models using scalable architectures (cloud-native, APIs)  Collaborate with engineering teams to deploy AI solutions into production  Ensure robustness, explainability, and monitoring of models  Data & Feature Engineering  Work with large-scale datasets:  Shipment data, GPS/telematics, weather, port congestion, tariffs  Build feature pipelines and data validation frameworks  Leadership & Strategy  Lead AI initiatives and mentor junior scientists  Translate business problems into AI solutions  Partner with product, operations, and stakeholders to define roadmaps  Required Qualifications  PhD in Computer Science, Operations Research, Applied Math, or related quantitative field  10–15+ years of experience in AI/ML or optimization, or Supply Chain planning systems Strong expertise in:  Python (NumPy, Pandas, PyTorch/TensorFlow)  Optimization tools (Gurobi, CPLEX, OR-Tools)  Deep knowledge of:  Routing algorithms (VRP, shortest path, heuristics/metaheuristics)  Time-series forecasting and probabilistic modeling  Experience deploying models in production environments  Preferred Qualifications  Experience in transportation, logistics, or supply chain domain  Familiarity with Maritime shipping or fleet scheduling  Container logistics and repositioning problems  Experience with:  Reinforcement learning for dynamic decision-making  Digital twins and simulation systems  Knowledge of cloud platforms (GCP, AWS, Azure)  Experience with streaming data (Kafka, Spark)  Key Skills  Optimization + Machine Learning hybrid modeling  Strong problem-solving and mathematical modeling skills  Ability to handle ambiguous, real-world constraints  Communication skills to explain complex models to business stakeholders  Publications / Patents:  Strong plus if you have published in AI/ML/OR conferences (NeurIPS, ICML, INFORMS, etc.)    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! 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: $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.

About the Role As a member of Avathon’s Go-to-Market organization, you will play a key role in helping drive customer engagement and pipeline development across the Avathon Autonomous Operations Platform. This role is ideal for a highly motivated, outgoing, and customer-oriented professional looking to build a career at the intersection of AI, enterprise technology, and industrial transformation. The primary focus of this role will be to gain a deep understanding of the client’s operational challenges and positioning Avathon’s capabilities to deliver immediate, tangible value. You will work closely with the Office of the CEO and senior commercial leadership to support strategic customer initiatives, develop executive relationships, and help position Avathon’s Physical AI platform with leading global enterprises across supply chain, manufacturing, energy, mining, and aerospace. Responsibilities Lead outbound customer engagement efforts across prospective enterprise accounts via LinkedIn, email, events, and executive outreach. Build and maintain relationships with customer stakeholders and help coordinate strategic meetings and follow-ups. Leverage Avathon’s well established channel partnerships and Go-to-Market strategy to expand pipeline development. Work directly with the CEO office on priority accounts, customer communications, executive briefings, and business development initiatives. Learn and articulate Avathon’s AI platform, customer value proposition, and industry use cases. Maintain accurate customer and pipeline activity within Salesforce, HubSpot, and internal systems. Collaborate cross-functionally with marketing, sales, product, and leadership teams to support account growth. Operate effectively in a fast-paced, high-growth environment with strong attention to detail and responsiveness. Qualifications 5–15 years of experience in a customer-facing role such as account management, business development, sales, consulting, recruiting, customer success, or partnerships. Strong communication and interpersonal skills with confidence engaging senior executives and customers. Highly organized, coachable, proactive, and able to take direction in a dynamic executive-driven environment. Energetic, outgoing personality with a strong sense of professionalism and ownership. Interest in AI, enterprise technology, and industrial transformation. Bachelor’s degree preferred. Candidates must be authorized to work in the United States without the need for current or future company sponsorship. Location: Candidates must be based in the Bay Area. Salary:  $200k - $300k OTE. 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. As part of our hiring process, Avathon conducts professional reference checks focused on sales performance, customer relationship management, quota attainment, and overall sales effectiveness. Candidates should be prepared to provide references who can speak to their sales achievements and approach. What are the benefits and perks at Avathon? Our full-time employees and their loved ones will be supported with a competitive and comprehensive benefits package. 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 Generous Time Off Programs Medical Coverage, and Parental Leave Plans  Employer-Sponsored Lifestyle Spending Account 401k with Employer Match Monthly Technology Allowance  Contract and temporary roles are not eligible for the above benefits.