Staff Software Engineer, Machine Learning

Location: San Francisco, CA (Remote/Hybrid Available)

What is Verse? 

Organizations today are under growing pressure to navigate the transition to clean energy — not just to meet sustainability goals, but to manage risk, control costs, and build long-term resilience. Yet the complexity of energy markets and a lack of accessible tools have made it difficult for most companies to take meaningful action. Verse was created to change that.

Our mission is to make the case for clean energy irrefutable. Through our AI-powered platform, Aria, we help organizations plan, procure, and operate clean energy to achieve their financial and sustainability goals. Verse transforms clean energy ambition into action — giving businesses the clarity and confidence to lead in a rapidly evolving energy landscape.

The Role

As a Staff Software Engineer focusing on Machine Learning at Verse, you will drive the development and implementation of applications and pipelines across a diverse range of data sources including time series, text, and images. You will work closely with our Data Science team deploying energy forecasting and estimation models into production and create tools for structuring and organizing the data that feed these models. As an advanced technical leader in the Python ecosystem, teammates will look to you for best coding standards and conventions.

Additionally, your skills will guide the progression of internal generative AI tools and the evolution of our Aria Assistant product. You will leverage frontier foundation models such as OpenAI GPT, Anthropic Claude, Google Gemini, and Meta's Llama to build solutions that enhance our capabilities.

Key Responsibilities

• Foster a culture and mindset of well-designed systems, test-driven software, and transparent communication with a high caliber of mutual respect and consideration for stakeholders
• Read and write a lot of Python: implementing, maintaining, and promoting best practices and hygiene in our Python code repository for others to follow and emulate
• Develop, train, test, refine, and deploy forecast models in production
• Collaborate with our optimization and analytics team members to write shared libraries, design and implement robust solutions intended for high performance with large datasets and complex computations
• Ensure data quality and integrity throughout the data lifecycle
• Integrate internal and external user applications with frontier generative AI models 
• Shape and guide the team’s AI/ML strategy with your technical input and execution
• Occasionally work alongside our platform and infrastructure engineers on various data flows and pipelines to support our product and internal operations

What We're Looking For (Minimum Qualifications)

• 8+ years of experience delivering production-quality software with increasing levels of ownership and technical leadership.
• Fluent in Python and expertise with libraries like NumPy, Pandas, and scikit-learn
• Strong background in statistical analysis and computational mathematics with first principles knowledge of machine learning techniques
• Fundamental understanding of modern AI/ML technologies and their application in commercial environments.
• Proficiency in working with large datasets and data processing (streaming and batch) solutions for analytical workloads
• Technical leadership and commitment to delivering high quality software on time or ahead of schedule, and adhering to best software development practices
• Discipline using generative AI tools in day-to-day work
• Note: We are open to Sr. Staff and Principal level for this role as well 

What Will Make You Standout (Preferred Qualifications)

• Master’s degree or PhD in a related field
• Familiarity with cloud-native ecosystem
• Advanced experience developing and deploying applications built on frameworks such as PyTorch or TensorFlow, and proficiency working with natural language processing libraries like spaCy, NLTK, Polyglot, etc
• Practical knowledge of and hands on experience with model inference, training, retrieval augmented generation (RAG), and fine tuning (e.g. PEFT)
• Understanding of application-specific architectures such as CUDA, GPUs, and TPUs
• Familiarity with forecast libraries such Google GraphCast, Nvidia CorrDiff, or Microsoft Aurora, and electricity market simulation tools (e.g. PLEXOS) are a big plus 

What Makes Verse a Great Place to Work? 

• Lead with Empathy: We lift each other up with humility and kindness, always putting colleagues and customers first
• Be Honest & Transparent: We prioritize effective communication to build trust with our team, customers, and stakeholders
• Move with Balance & Precision: We believe speed and perseverance must be accompanied by thoughtfulness and reflection
• Leave the World a Better Place: We are passionate about our mission, and we strive to create a sustainable world for future generations

Base Pay Range

$194,000 - $250,000

This is the estimated base salary range for this position, which does not include the value of benefits or a potential equity grant. A wide range of factors are considered in making compensation decisions, including but not limited to level, skill sets, market conditions, experience and training, licensure and certifications, and business and organizational needs.

Benefits and Employee Perks 

• Competitive compensation and equity grant at a high-growth start up 
• Comprehensive benefits package including medical, dental and vision insurance, and 401k 
• Flexible hours and unlimited PTO 
• Diverse and inclusive working environment 

Verse is an equal opportunity employer. All applicants and employees are considered for hire, promotion, and compensation without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, marital or familial status.