Head of ML Engineering – Edge & Real-Time Systems

Treeswift Inc; New York (NY); Hybrid; USD 225,000 - 265,000; Full time

Benefits offered by this job

Competitive salary and equity package

Comprehensive medical, dental, and vis

Life insurance and short‑ and long‑ter

16 weeks of fully paid parental leave

Flexible, unlimited paid time off

401(k) retirement savings plan

Free OneMedical membership

Commuter benefits

Snacks, goodies, and team lunches

Job summary

Based in Lower Manhattan with a hybrid schedule (2-3 days in the office), you will lead a growing team across three offices and contribute to building the future of field work with our physical AI for energy utilities.

Qualifications

• Early-stage or fast-moving environments where scope and ownership evolve quickly.
• Strong familiarity with models built on images, video, lidar, pointclouds, speech, or geospatial data sources.
• Building and using cloud-based training and inference pipelines (including orchestration, deployment, and the operational realities of running models at scale).
• Willingness to drive architecture and approach across both, bring innovative ideas and rapid execution to new and existing models, and be accountable for the quality and consistency of our models across a growing breadth of operating conditions.
• Leading development of our training and inference pipelines. You will lead how we build and evolve these pipelines as well as move us towards on-device inference for time-sensitive use cases.
• 3+ years experience in leadership: setting clear direction for a team, driving architecture and design decisions, reviewing others’ work, and mentoring individual engineers.
• Experience creating, curating, and cleaning training datasets, and building the evaluation and feedback loops that drive model improvement.
• Strong programming skills and expertise in deep learning frameworks such as PyTorch, scikit‑learn, and TensorFlow.
• Excellent communication and collaboration skills. You have the ability to keep a team distributed across three offices (NY, Philly, SF) well‑aligned. You will be a strong partner to the product team on how to balance technical trade‑offs and product objectives.

Responsibilities

• Technical Leadership: improve model quality and consistency across operating conditions with ML Ops.
• Edge model development: deploy models on devices for real-time use cases.
• Lead and grow our team across NYC, Philly and SF offices.
• Collaborate with Software, Robotics, Hardware and Product teams to deliver on Treeswift’s vision and business objectives.

Job description

Based in Lower Manhattan with a hybrid schedule (2-3 days in the office), you will lead a growing team across three offices and contribute to building the future of field work with our physical AI for energy utilities.