Software Engineer, Back End, Energy Customer Support

What You'll Do

• Design, develop, and implement machine learning models for service and customer support environments using techniques like supervised learning, convolutional neural networks, and tools such as PyTorch and Pandas
• Collaborate with vehicle service operations, energy service operations, and customer support teams to address operational challenges
• Take ownership of production models, ensuring robust alerting systems for rapid issue resolution
• Work with diverse, heterogeneous datasets (text, voice, images, tabular data) to build scalable solutions
• Translate ambiguous problem statements into actionable, end-to-end machine learning models
• Follow agile development practices and maintain high standards for clean, modular, and sustainable code

What You'll Bring

• In-depth expertise in Python for high-performance, data-intensive applications
• Proficiency with at least one modern deep learning framework (e.g., PyTorch, JAX, TensorFlow)
• Specialized knowledge in areas such as large language models, recommender systems, or operations research
• Strong foundational understanding of statistics for model comparison and performance evaluation
• Real-world experience deploying and maintaining production machine learning systems
• Passion for writing clean, modular, and sustainable code to transition research into production
• Degree in Computer Science, Data Science, or related or equivalent experience

Benefits

• Competitive pay
• Medical plans
• Family-building, fertility, adoption and surrogacy benefits
• Dental (including orthodontic coverage) and vision plans
• Health Savings Accounts (HSA) Contribution
• Company Paid FSA
• 401(k) with employer match
• Employee Stock Purchase Plans
• Other financial benefits
• Basic Life, AD&D Short-term and long-term disability insurance
• Employee Assistance Program
• Sick and Vacation time
• Paid Holidays
• Commuter benefits
• Employee discounts and perks program

Expected Compensation

$140,000 - $210,000/annual salary + cash and stock awards + benefits