Senior Machine Learning Engineer, Computer Vision - Robotics at Scale Workforce LTD

San Francisco, California, United States -

Full Time

Start Date

Immediate

Expiry Date

17 Feb, 26

Salary

273000.0

Posted On

19 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Computer Vision, Deep Learning, Algorithm Development, 3D Reconstruction, SLAM, Hand Tracking, Body Tracking, Object Detection, Video Processing, Model Optimization, Technical Leadership, Cross-Functional Collaboration, Python, C++, Deep Learning Frameworks

Industry

Software Development

Description

Scale’s Robotics business unit is dedicated to solving the data bottleneck in Physical AI. This position will be a key contributor in conducting applied research in Robotics and developing ML pipelines for training and fine-tuning on data collected by Scale. In this role, you will have the opportunity to advance Robotic research, shape Scale’s robotics offerings, and expand the frontier of Robotics data and model evaluation. We are seeking an exceptionally motivated and experienced Senior Machine Learning Engineer, Computer Vision to drive cutting-edge research and development in real-time and offline 2D and 3D algorithms. The successful candidate will be a hands-on technical leader responsible for translating complex computer vision algorithms from research papers into robust, production-ready systems that power our next-generation products. This role requires a deep theoretical background combined with substantial practical experience working with spatial and temporal data. You will: Pioneer Core CV Algorithms: Lead the research, design, and implementation of novel computer vision and deep learning algorithms, with a specialized focus on 2D and 3D data (e.g point clouds). Focus Area Expertise: Drive innovation in key perception areas, including: 3D Reconstruction and SLAM: Advanced techniques for real-time 3D mapping, pose estimation, and environmental modeling from multi-modal sensor inputs (e.g., RGB-D, LiDAR). Hand/Body Tracking: Developing robust and precise models for hand pose estimation, gesture recognition, and full-body tracking under various lighting and occlusion conditions. Object Detection and Tracking (MOT/SOT): Designing high-performance deep learning models for accurate detection and persistent tracking of objects and people in video streams. Video Processing: Creating algorithms for temporal feature extraction, video-based action recognition, and motion analysis. Model Optimization: Optimize computationally intensive models for deployment on edge devices (low power, low latency) and/or large-scale cloud infrastructure. Technical Leadership: Serve as the subject matter expert in Computer Vision, providing technical direction and mentorship to junior engineers and cross-functional teams. Publication & IP: Maintain state-of-the-art knowledge, evaluate recent academic publications (e.g., CVPR, ICCV, ECCV), and drive the filing of patents and publication of novel research. Cross-Functional Partnering: Collaborate closely with Software Engineering, Product, and Hardware teams to define requirements, integrate vision systems, and ensure solutions meet performance targets. You have: Ph.D. in Computer Science, Computer Engineering, or a related quantitative field (Mathematics, Electrical Engineering, etc.) OR a Master’s degree with 4+ years of equivalent professional experience in an applied research setting. 5+ years of hands-on experience in algorithm development for 2D/3D computer vision and deep learning. Deep Learning Frameworks: Expert proficiency in at least one major deep learning framework (PyTorch, TensorFlow or Jax). Programming: Mastery of Python for machine learning and strong proficiency in C++ for performance-critical algorithm implementation. 2D/3D Fundamentals: In-depth knowledge of classical and modern computer vision fundamentals, including multi-view geometry, projective geometry, camera calibration, and 3D graphics/rendering principles. Building real-time and batch ML systems that analyze structured and unstructured signals Hands-on experience rapidly prototyping and iterating on ML systems with changing requirements Nice to haves: Deep Learning Frameworks: Expert proficiency in at least one major deep learning framework (PyTorch, TensorFlow or Jax). Programming: Mastery of Python for machine learning and strong proficiency in C++ for performance-critical algorithm implementation. 2D/3D Fundamentals: In-depth knowledge of classical and modern computer vision fundamentals, including multi-view geometry, projective geometry, camera calibration, and 3D graphics/rendering principles. Building real-time and batch ML systems that analyze structured and unstructured signals Hands-on experience rapidly prototyping and iterating on ML systems with changing requirements Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. The base salary range for this full-time position in the location of San Francisco is: $218,400—$273,000 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

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Responsibilities

Lead the research, design, and implementation of novel computer vision and deep learning algorithms. Collaborate closely with cross-functional teams to define requirements and ensure solutions meet performance targets.