altentechnologyusa

Machine Learning Engineer, Computer Vision

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At a Glance

Location
United States
Experience
3+ years
Posted
2026-02-06T20:26:48-05:00

Key Requirements

Required Skills

Computer VisionDeep LearningMachine LearningPython

Domain Knowledge

  • Engineering

Requirements

Bachelor's Degree in Computer Science and/or Computer Engineering

3+ years with a Modern Computer Vision and Machine Learning background, specifically on 3D reconstruction, detection, classification, semantic segmentation

Experience with training and deploying Deep Learning models

Background in C++ and/or python

Excellent communication skills

Creative mindset willing to challenge the norms

Compensation & Benefits

$115,000-130,000

The actual salary offered is dependent on various factors including, but not limited to, location, the candidate’s combination of job-related knowledge, qualifications, skills, education, training, and experience

ALTEN Technology is an Equal Opportunity Employer. Our Policy is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual’s age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status.

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on our careers page for more information about our recruiting process.

Responsibilities

The Perception team is looking for a machine learning engineer to develop cutting-edge Computer Vision modules to enhance the on-board perception of our robotic fleet, directly impacting safety and fleet efficiency. In this role, the ideal candidate will work on the full design and development cycle, including data collection, data set creation, machine learning models design and implementation.

Design and develop in-cabin Computer Vision ML modules for safety critical perception and monitoring applications

Implement Perception model architectures and sophisticated training techniques

Build high quality datasets leveraging all the inputs from our sensor stack and the overall large scale data we have collected

Validate and optimize your solutions using real-world driving scenarios, directly contributing to the safety and reliability of our autonomous system