Senior Machine Learning Engineer, Computer Vision - Robotics at Scale AI

San Francisco, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Robotics, AI, Machine LearningIndustries

Requirements

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
Expert proficiency in at least one major deep learning framework (PyTorch, TensorFlow or Jax)
Mastery of Python for machine learning and strong proficiency in C++ for performance-critical algorithm implementation
In-depth knowledge of classical and modern computer vision fundamentals, including multi-view geometry, projective geometry, camera calibration, and 3D graphics/rendering principles
Experience 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

Responsibilities

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)
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 like RGB-D, LiDAR), Hand/Body Tracking (robust models for hand pose estimation, gesture recognition, and full-body tracking under various conditions), Object Detection and Tracking (MOT/SOT) (high-performance models for accurate detection and tracking in video streams), and Video Processing (algorithms for temporal feature extraction, action recognition, and motion analysis)
Optimize computationally intensive models for deployment on edge devices (low power, low latency) and/or large-scale cloud infrastructure
Serve as the subject matter expert in Computer Vision, providing technical direction and mentorship to junior engineers and cross-functional teams
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
Collaborate closely with Software Engineering, Product, and Hardware teams to define requirements, integrate vision systems, and ensure solutions meet performance targets

Skills

Key technologies and capabilities for this role

Computer VisionDeep Learning3D ReconstructionSLAMPose EstimationHand TrackingBody TrackingObject DetectionObject TrackingMOTSOTVideo ProcessingPoint CloudsLiDARRGB-D

Questions & Answers

Common questions about this position

What education and experience are required for this role?

A Ph.D. in Computer Science, Computer Engineering, or a related quantitative field is required, or a Master’s degree with 4+ years of equivalent professional experience in an applied research setting, plus 5+ years of hands-on experience in algorithm development for 2D/3D computer vision and deep learning.

What key technical skills are needed for this position?

The role requires expertise in 2D and 3D computer vision algorithms, deep learning, 3D reconstruction and SLAM, hand/body tracking, object detection and tracking, video processing, and model optimization for edge devices or cloud infrastructure.

What is the salary range for this Senior Machine Learning Engineer role?

This information is not specified in the job description.

Is this position remote or does it require working in an office?

This information is not specified in the job description.

What does a strong candidate for this role look like?

A strong candidate has a Ph.D. or equivalent experience, 5+ years in 2D/3D computer vision and deep learning, deep theoretical knowledge of spatial and temporal data, hands-on leadership in implementing research algorithms into production systems, and the ability to mentor teams while staying current with publications like CVPR.

Scale AI

AI platform for data and models

About Scale AI

Scale AI provides a platform that helps businesses develop AI applications by utilizing their enterprise data to customize generative models. The platform includes tools for collecting, curating, and annotating data, as well as features for evaluating and optimizing models. Scale works with a variety of clients, including major tech companies like Microsoft and Meta, government agencies such as the U.S. Army and Airforce, and startups like Brex and OpenSea. What sets Scale apart from its competitors is its comprehensive suite of tools and services that focus on safely unlocking the value of AI. The company's goal is to enhance the performance of advanced language models and generative models, making AI more accessible and effective for its clients.

San Francisco, CaliforniaHeadquarters

2016Year Founded

$1,558.9MTotal Funding

SERIES_FCompany Stage

Data & Analytics, AI & Machine LearningIndustries

1,001-5,000Employees

Benefits

Health, Dental & Vision Coverage - Our health plans give you the flexibility to select the right coverage for you and eligible family members through a variety of plan options.

Easy to use 401(K) - Plan and invest for the future with a 401(k) via Guideline. Scale’s 401(k) plan provides you an opportunity to defer compensation for your long-term savings.

Wellness Fund - We care about the physical, mental, and emotional wellbeing of all Scaliens. Our $100/month wellness stipend can be used for gym memberships, acupuncture, meditation apps, and so much more.

Virtual Social Activities - Being remote has not stopped us from hosting fun virtual events. From trivia night to candle making, we ensure employees are fostering connections & building strong relationships.

Learning & Development - We know how important career growth is for Scaliens, so we offer a $500/year L&D stipend to help support continued development throughout your journey.

Flexible hours allow you to work when you are most productive. You can work with your manager to best plan your daily work schedule.

Generous Paid Time Off - Enjoy time to travel or plan a staycation. We encourage employees to take time off to recharge and prevent burnout. We have a flexible PTO policy where each employee is afforded the flexibility to take planned time-off as needed.

Commuter Benefits - Set aside pre-tax dollars to use on qualified transportation expenses to help ease your commute.

Parental Leave - Balancing work and family is essential, and Scale understands the importance of having adequate leave policies in place to promote a healthy home and work life.

Risks

Legal issues over labor practices could harm Scale AI's reputation and financial standing.

Controversial stance on DEI may deter potential talent and partnerships, affecting growth.

Expansion in San Francisco could increase operational costs amid uncertain economic conditions.

Differentiation

Scale AI offers comprehensive data annotation for AI, unlike competitors focusing on single modalities.

The platform supports diverse clients, from tech giants to government agencies, enhancing its versatility.

Scale AI's commitment to AI safety initiatives sets it apart in responsible AI development.

Upsides

Growing demand for AI data annotation boosts Scale AI's market potential and client base.

Expansion into defense applications opens new revenue streams and strategic partnerships.

Partnerships with AI safety organizations enhance Scale AI's reputation as a responsible AI leader.

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