Staff Deep Learning Engineer

Key Responsibilities

• Implement core deep-learning, computer vision, and (inverse)-procedural modeling algorithms in Python.
• You will rely on mathematical techniques from linear algebra, probability, and geometry to build these systems.
• Apply cutting-edge research in machine learning and computer graphics to solve real-world problems.
• Work closely with our cofounders to understand high-level product vision and translate customer requirements into technical milestones.
• Interact with remote machines via a Unix shell to deploy and test code on large-scale geospatial datasets, ultimately generating 3D content for our customers.
• Use Git to manage source code and modularize complex implementation tasks into manageable, executable components.

Qualifications

• Master's degree in Computer Science, Engineering, Mathematics, or a related field
• Minimum of 5+ years of relevant industry experience, ideally within a fast-paced, high-growth tech environment.
• Proven experience as a DL Engineer or Applied Research Engineer in a fast-paced environment.
• Industry Context: Prior experience in industries with complex multi-disciplinary teams such as robotics, smart grids, precision agriculture, game development, or aerospace is highly valued.
• Core Stack: Fluency with Python, Git, and the Unix shell.
• ML Experience: Proven experience training and debugging artificial neural networks or adjacent experience (e.g., gradient descent, nonlinear optimization, or classical machine learning).
• Math Foundations: A strong mathematical background covering linear algebra, statistics, probability, and numerical methods.
• Prior experience with modern C++ to interface with data ingestion and product pipelines is preferred.

Attributes

• Communication: Effective collaboration and the ability to work closely with a founding team.
• Execution: High attention to detail and the ability to meet key R&D milestones in an early-stage startup environment.

Benefits

This position is eligible for company sponsored benefits, including medical, dental and vision insurance, 401(k), paid leave, tuition reimbursement, and a variety of other discounts and perks.

Schedule

Salary range: $220,000 – 260,000 (bonus eligibility).