Machine Learning Lead (AI)

Location: Hybrid, Lower Manhattan, New York City office; 2–3 days per week in person, currently Tuesdays and Wednesdays. The salary range applies to New York City-based applicants.

Salary: $225,000–$265,000 USD per year, excluding bonuses, benefits, and potential long-term incentives.

Company

hirify.global builds physical AI using hardware, sensors, AI, and software to modernize field work for energy companies and improve utility vegetation management, construction, and storm recovery.

What you will do

• Lead technical direction for machine learning models across a growing range of operating conditions.
• Improve model quality and consistency by introducing feedback loops, evaluation systems, and MLOps practices.
• Lead the development of cloud-based training and inference pipelines and advance on-device inference for time-sensitive use cases.
• Work with robotics and embedded teams on real-time edge model deployment.
• Lead, mentor, and grow the ML team distributed across New York City, Philadelphia, and San Francisco.
• Collaborate with Software, Robotics, Hardware, and Product teams on technical trade-offs and business objectives.

Requirements

• 8+ years of professional experience.
• 3+ years of leadership experience setting direction, driving architecture and design decisions, reviewing work, and mentoring engineers.
• Strong familiarity with models using images, video, LiDAR, point clouds, speech, or geospatial data.
• Experience building, using, and leading cloud-based training and inference pipelines, including orchestration, deployment, and operating models at scale.
• Experience creating, curating, and cleaning training datasets and building evaluation and feedback loops for model improvement.
• Strong programming skills and expertise with deep learning frameworks including PyTorch, scikit-learn, and TensorFlow.
• Ability to drive architecture and technical approaches, develop models, execute rapidly, and remain accountable for model quality and consistency.
• Excellent communication and collaboration skills, including keeping a distributed team aligned and partnering with Product on technical trade-offs.

Nice to have

• Experience developing and deploying models on edge devices.
• Experience with MLflow, Lightning, Weights and Biases, or similar deep learning training frameworks.
• Experience with semantic mapping, image processing, and/or computer vision fundamentals.
• Experience with Apache Airflow, especially 3.x, and/or Astronomer.
• Experience with Sensor Fusion, SLAM, and/or Visual Odometry.

Culture & Benefits

• Mission-driven work focused on real-world impact in energy and field operations.
• Medical, dental, and vision coverage for employees and eligible dependents.
• Life insurance, short- and long-term disability coverage, and a 401(k) retirement savings plan.
• 16 weeks of fully paid parental leave for all new parents and flexible, unlimited paid time off.
• Free OneMedical membership and commuter benefits.
• Snacks, goodies, and team lunches twice a week.