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Senior Applied Scientist, Modeling and Optimization

Santa Clara, California, United States💼 Full-time💰 $192,200–$260,000🗓 2026-01-08 → 2026-07-31

Core

Design, implement, and evaluate state-of-the-art solutions for large-scale optimization problems to improve last-mile delivery experience and global fulfillment operations.

Role type

Senior Applied Scientist (Modeling and Optimization)

Builds

Optimization models and tools for vehicle routing, network planning, and fulfillment center processes.

Domain

Logistics, Supply Chain, Operations Research

Deliverable

production ML models

Required skills

Combinatorial optimization, Algorithms, Algorithm engineering, Data structures, Machine learning, Statistical modeling

Preferred skills

Applied research, Network topology analysis, Capital investment planning

Technologies

C/C++, Python, Java, Perl, R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy

Responsibilities

Develop algorithms for vehicle routing and related problems; Analyze transportation network topology and inventory placement; Create metrics to quantify improvements to fulfillment costs; Plan location and deployment of fixed assets.

Seniority

Senior, hands-on IC

Rewrite
## Responsibilities - Develop and improve last-mile experience with algorithmic and analytical work. - Design, implement, and evaluate state-of-the-art solutions to large-scale optimization problems. - Work closely with software development engineers. - Play an integral role in network planning, modeling, and analysis to improve efficiency and cost effectiveness of global fulfillment operations. - Identify and evaluate opportunities to reduce variable costs by improving transportation network topology, inventory placement, transportation operations and scheduling, fulfillment center processes, and execution to operational plans. - Improve efficiency of capital investment by helping plan location and deployment of fixed assets. - Help create metrics to quantify improvements to fulfillment costs (e.g., transportation and labor costs) resulting from application of optimization models and tools. ## Requirements - 3+ years of building machine learning models or developing algorithms for business application experience. - PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field, or Master's degree and 10+ years of industry or academic research experience. - Knowledge of programming languages such as C/C++, Python, Java or Perl. ## Nice to Have - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience in applied research. ## Benefits - Base salary range: $192,200.00 - $260,000.00 USD annually. - Sign-on payments and restricted stock units (RSUs). - Comprehensive benefits including health insurance, 401(k) matching, paid time off, and parental leave. - Equal opportunity employer with no discrimination based on protected veteran status, disability, or other legally protected status. - Los Angeles County applicants must adhere to fair chance ordinance regarding criminal history. - Inclusive culture with support for workplace accommodations and interview/onboarding assistance.
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