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

What is Verse?

Climate change, policy pressures, and energy market volatility are driving companies across all industries to announce emissions reduction commitments. Despite these commitments, direct renewable energy purchases are currently only accessible to a small handful of the world’s largest companies. Verse was created to solve this problem. Verse’s mission is to unlock the benefits of clean power for organizations everywhere. Our software platform, Aria, is the first to leverage AI to empower companies to understand, plan, and manage clean power. By enabling customers to save money and reduce their scope 2 emissions at the same time, Verse helps scale and accelerate corporate decarbonization.

The Role

You will drive the development and implementation of applications across a diverse range of data sources including analytics, text, time series, and images. A key function of this role will be driving the evolution of our Aria Assistant application and expanding the capabilities of our prediction and optimization experts. You will leverage cutting-edge technologies such as OpenAI GPT, Google Gemini, and Meta's Llama to build solutions that enhance the capabilities of both our internal and external services. As an advanced technical leader in the Python ecosystem, teammates will look to you for best coding standards and conventions.

Requirements

• Implement, maintain, and promote best practices and hygiene in our Python code repository for others to follow and emulate
• 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 modern transformer-based AI services such as OpenAI’s GPT, Google Gemini, and Anthropic’s Claude
• Work closely with platform and infrastructure engineers to build LLM-augmented developer productivity, observability, and anomaly detection tools
• Occasionally also work alongside our platform, infrastructure, and data analytics engineers on various data pipelines to support our product and internal operations

Minimum Qualifications (Who are you?)

• Bachelor’s degree in Computer Science, Data Science, or a related field
• Strong programming experience in Python (+5 years) and experience with libraries like NumPy, SciPy, Pandas, and Polars
• Strong background in statistical analysis and computational mathematics
• Intermediate understanding of modern AI/ML technologies and their application in commercial environments
• Proficiency in working with large datasets and data processing (streaming and batch) in both transactional and analytical settings
• Familiarity with data warehouse and pipeline solutions for analytical workloads
• Participate in code reviews, maintain technical documentation, and adhere to best software development practices
• Strong problem-solving skills and the ability to work in a fast-paced, evolving environment
• Excellent communication and teamwork skills, with a flair for creativity and innovation in software engineering

Preferred Qualifications (Ideal Candidate)

• Master’s degree or PhD in a related field
• Senior or Staff level software development talent and up
• Familiarity with the gRPC + Protocol Buffer ecosystem (we use Buf’s Connect SDK)
• Experience with fine-tuning foundation models
• Intermediate experience in developing and deploying AI/ML models, particularly with frameworks such as TensorFlow, PyTorch, or similar
• Practical knowledge of model inference and training
• Proficiency working with Natural Language Processing libraries like spaCy, NLTK, Scikit-learn, Polyglot, etc
• Understanding of application specific architectures such as CUDA, GPUs, and TPUs
• Knowledge of cloud platforms and services, particularly those related to AI/ML deployments
• Demonstrated experience in leading projects or initiatives within data science or AI domains
• Hands on experience deploying and maintaining one or more data pipeline, warehouse, and analytical solutions such as Hadoop, Spark, Airflow, DBT, Dagster, Presto/Trino, AlloyDB, Postgres, BigTable, Snowflake, Hive, RedShift, S3, GCS, etc

Benefits

What makes Verse a great place to work? * We lead with empathy. Empathy for our teammates and our customers is central to who we are. We lift each other up and strive to embody humility, selflessness, and kindness. * We promote an emotionally aware attitude and culture by putting our colleagues and customers first. * We respect the prior art and acknowledge those who have come before us. We never assume we know everything: every person has something to teach us. * We are open, honest, and transparent. Organizational and institutional trust is essential to tackling the world’s most challenging problems. That trust is built on effective communication with our team, our customers, and other stakeholders. * We move with balance and precision. Life is a delicate balance between the forces of creation, maintenance, and destruction. We understand that each of these forces must be applied with diligence: When we act, we act carefully and responsibly. * We are pursuing a labor of love. We are passionate about renewable energy technology, and we like to dream big. We are disrupting the largest and most expensive machine humanity has ever built – the electricity system. We believe the greatest impact we can have on the climate crisis is through building elegant solutions and exceptional products that delight our customers.

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.

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Information Technology

Industries

Renewable Energy Semiconductor Manufacturing