Senior Software Engineer; Machine Learning

Senior Software Engineer (Machine Learning)

Valor Equity Partners is a private investment firm focused on operational growth. We work side‑by‑side, shoulder‑to‑shoulder, with companies that solve the world’s biggest problems. Our investments span biosciences, transportation, food, health and wellness, and more. We’ve partnered with leading entrepreneurs and companies such as Tesla, Space

X, Anduril, Eight Sleep, GoPuff, and others.

Our core values are excellence, humility, integrity, and responsibility.

• Strive for excellence in everything we do;
• Maintain humility and mutual respect in all circumstances;
• Insist upon the highest level of integrity in our interactions and investment process;
• Demonstrate responsibility and dedication to all constituents.

Valor Labs develops cutting‑edge machine‑learning models to derive proprietary investment insights and builds software applications that augment the firm’s investment‑decision process. As a small, diverse team of software engineers and data scientists, we collaborate on wide‑ranging problems to deliver high‑impact products for the firm.

You will be a software engineer on the data‑science and machine‑learning team, contributing directly to high‑impact product development. Working with data scientists, engineers, and stakeholders, you will translate complex project requirements into actionable technical solutions, and help build, deploy, monitor, and maintain those solutions in production. Your technical expertise and commitment to excellence will drive adoption of best practices and uphold the highest level of rigor.

• B.S. in Computer Science or a related field
• 5+ years of experience developing production‑ready software systems
• Experience in financial services is highly valued
• Expertise in end‑to‑end machine‑learning operations: model deployment, monitoring, retraining, and integration with production data pipelines and API services
• Proficient with Python and machine‑learning libraries (Num Py, Pandas, Scikit‑Learn, PyTorch)
• Proficient with SQL, including transactional (Postgre
  
  SQL) and analytical (Big Query) databases
• Professional experience with most, if not all, of the following:
• Containerization (Kubernetes, Docker)
• Data processing (Prefect, Airflow, dbt)
• Parallel processing (Ray, Dask, Spark)
• Continuous integration/continuous deployment (Git Hub Actions)
• Infrastructure as code (Terraform)
• Tools to support machine‑learning operations (MLFlow, DVC)
• Humble, hard‑working, and collaborative

Mid‑Senior level

Full‑time

Venture Capital, Private Equity, Financial Services, Software Development

• Medical insurance
• Vision insurance
• 401(k)
• Paid paternity leave
• Paid maternity leave