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

Responsibilities

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 are always receptive to feedback on how we could do better, and we strive to provide constructive recommendations that help others excel.
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. Speed, hard work, and perseverance must be accompanied by thoughtfulness and reflection.
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.

Verse

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