Sr. Algorithms Engineer, Autobidder

The mission of the Autobidder team is to accelerate the world's transition to sustainable energy by maximizing the value of storage and renewable assets. We achieve this by building state-of-the-art software products for monetizing front-of-the-meter and behind-the-meter energy storage systems. Our flagship product, Autobidder, is an end-to-end automation suite for wholesale electricity market participation of grid-connected batteries and renewable resources that maximizes revenues by optimally bidding in all available revenue streams in these markets. We are a multidisciplinary algorithmic trading team with expertise in machine learning, numerical optimization, software engineering, distributed systems, electricity markets, and trading. We have a proven track record of operating storage assets and delivering high revenues in both utility-scale and Virtual Power Plant (VPP) settings. Our products are contracted to manage over 7GWh of energy storage worldwide and have returned over $420 million in trading profits, and we're slated for rapid growth on the horizon.As a Sr. Algorithms Engineer, you will be responsible for steering the evolution of Autobidder's bidding and automation algorithms. This includes rapid iterations when entering new markets and devising sophisticated algorithmic approaches to optimize revenues and increase automation in advanced markets. You will develop deep expertise in electricity markets and leverage your technical skills to craft algorithms that help Autobidder deliver best-in-class performance. You will be intimately familiar with the performance and operational nuances of assets operated by Autobidder and will serve as the feedback loop between operational learnings and algorithmic advancements to ensure our algorithms deliver real-world value. You will own production systems and be responsible for their performance, reliability, and availability. Your work will help proliferate battery storage and renewable projects around the globe.

Responsibilities

• Algorithm Development: Design, implement, and maintain production code for sophisticated bidding, optimization, simulation, and forecasting algorithms
• Research and Innovation: Prototype, benchmark, deploy and monitor advanced algorithmic features that account for uncertainties in prices and clearing outcomes, optimally allocate quantities to maximize risk adjusted revenues, reason about interactions with strategic competitors, account for influence of quantity on clearing prices, etc. for large fleets of utility-scale storage assets and VPPs
• Domain Expertise: Become an expert in electricity markets and grid, and the various facets of operating in them
• Technical Leadership: Guide algorithmic decisions to balance performance and complexity and make thoughtful design and infrastructure choices that facilitate a positive developer experience in the long run
• Tooling and Simulation: Develop tooling and simulation systems to monitor and track field performance of assets. Define metrics to quantify, track, and improve specific areas of performance, and drive algorithm changes to enhance asset performance under management
• Cross-Functional Collaboration: Work with ML engineers, traders, market analysts, and software engineers to ensure algorithms drive end-to-end value

Requirements

• Proficiency in Python with at least 4 years of experience in software development, familiarity with software development practices, writing production-quality code, and agile development
• Experience in building real-world products and solutions using numerical optimization technology (LP, MILP, nonlinear optimization, etc.) and solving real-world optimization problems using solvers such as Gurobi, XPRESS, GLPK, CPLEX, etc.
• Expertise with relevant Python libraries such as cvxpy, pyomo, pandas, numpy, sklearn, streamlit, and more
• Demonstrated experience in developing and maintaining production software
• Self-motivation, enthusiasm for learning and collaboration, and a passion for working in the clean energy space
• Prefer experience building security constrained economic dispatch, unit commitment, or power flow models for real-world financial decision making
• Strong preference for domain expertise in forecasting, analysis, or trading in electricity markets (e.g., ISOs like ERCOT, CAISO, PJM, AEMO, UK National Grid)
• Prefer academic training in numerical optimization, operations research, stochastic control, optimal control, computational finance, and related mathematical fields
• Prefer prior experience in researching, developing, and deploying new algorithmic strategies to solve novel optimization problems, eg. decision-making under uncertainty, scenario optimization, MDPs, financial risk modeling, complementarity problems, etc.
• Prefer familiarity with a range of machine learning and statistical algorithms, including gradient-boosted decision trees, the ARIMA family, transformers, recurrent networks, etc.

Compensation and Benefits
Benefits

Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire:

• Aetna PPO and HSA plans > 2 medical plan options with $0 payroll deduction
• Family-building, fertility, adoption and surrogacy benefits
• Dental (including orthodontic coverage) and vision plans, both have options with a $0 paycheck contribution
• Company Paid (Health Savings Account) HSA Contribution when enrolled in the High Deductible Aetna medical plan with HSA
• Healthcare and Dependent Care Flexible Spending Accounts (FSA)
• 401(k) with employer match, Employee Stock Purchase Plans, and other financial benefits
• Company paid Basic Life, AD&D, short-term and long-term disability insurance
• Employee Assistance Program
• Sick and Vacation time (Flex time for salary positions), and Paid Holidays
• Back-up childcare and parenting support resources
• Voluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance
• Weight Loss and Tobacco Cessation Programs
• Tesla Babies program
• Commuter benefits
• Employee discounts and perks program
Expected Compensation
$124,000 - $240,000/annual salary + cash and stock awards + benefitsPay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.