CrawlJobs Logo
Scale Logo Scale · IT - Software Development

Machine Learning Research Engineer - Robotics

United States, San Francisco 218400.00 - 273000.00 USD / Year · Job Posted February 20, 2026
Apply Position
Job Link Share

Job 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.

Job Responsibility

  • Collaborate closely with Robotics customers to drive the industry forward in using VLA data
  • Develop ML pipelines to train/fine-tune models using Scale’s data
  • Conduct research on robotics data collection, cross-embodiment training, and policy fine-tuning
  • Develop novel methods for evaluating VLA models, including new robotics industry benchmarks
  • Partner with cross-functional stakeholders and Scale’s customers to improve data collection
  • Collaborate with product teams to bring ML outcomes to Scale’s platform

Requirements

  • Practical experience building training VLA models and/or building robotics data
  • 3+ years of relevant industry experience in areas relating to: robotics, computer vision, embodied AI, sim-to-real, imitation learning, reinforcement learning, and vision language actions models
  • PhD or equivalent experience in Machine Learning or Robotics
  • A track record of published research in robotics
  • Experience conducting data collection and performing evaluations
  • Strong written and verbal communication skills and the ability to work with cross-functional teams and customers
  • Intellectual curiosity, empathy, and ability to operate with a high degree of autonomy

Nice to have

  • Experience working with robotics hardware platforms (robotic arms, perception systems, etc.)
  • Experience deploying machine learning models on robotic systems in the field
  • Experience with teleoperated or human-driven data for robotics (ALOHA, UMI, hand tracking, etc.)

What we offer

  • Comprehensive health, dental and vision coverage
  • retirement benefits
  • a learning and development stipend
  • generous PTO
  • equity based compensation
  • may be eligible for additional benefits such as a commuter stipend
Scale - All Job Offers

Looking for more opportunities?

Search for other job offers that match your skills and interests.

Suggested Tags: Frontend Developer Secretary Talent Manager Salesforce Administrator Data Analyst
Similar Jobs for

Machine Learning Research Engineer - Robotics

8 matching positions

Robotics and Machine Learning Engineer

Applied Robotics & Physical AI Innovation Engineer: This role evaluates advanced...
Location
Location
United States , Plano
Salary
Salary:
100005.00 - 157004.00 USD / Year
nttdata.com Logo
NTT DATA
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s in Computer Science, Machine Learning, AI, Robotics, or related field
  • 3 years of experience building robotics/Physical AI systems. Exceptional hands-on builders with strong demo portfolios are encouraged regardless of actual years
  • Familiarity with industry safety standards and regulations pertaining to robotic systems
Job Responsibility
Job Responsibility
  • Research emerging technologies in this stated field, document and present ideas for consideration by the NA innovation team
  • Weekly presentations of ideas and interacting with technology with clients
  • Develops a growth pipeline with the client executives for engagements for tech showcases, workshops and technology evaluations/PoCs
  • Collaborate with vertical and horizontal team SMEs globally
  • Ability to apply suggested ideas to client needs and challenges to NTT DATA digital discussions and offerings
What we offer
What we offer
  • medical insurance
  • dental insurance
  • vision insurance
  • flexible spending or health savings account
  • life and AD&D insurance
  • short and long term disability coverage
  • paid time off
  • employee assistance
  • participation in a 401k program with company match
  • additional voluntary or legally-required benefits
  • Fulltime
Read More
Arrow Right

Senior Machine Learning Engineer, Computer Vision - Robotics

Scale’s Robotics business unit is dedicated to solving the data bottleneck in Ph...
Location
Location
United States , San Francisco
Salary
Salary:
218400.00 - 273000.00 USD / Year
scale.com Logo
Scale
Expiration Date
Until further notice
Flip Icon
Requirements
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
  • 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
Job Responsibility
Job Responsibility
  • 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
What we offer
What we offer
  • Comprehensive health, dental and vision coverage
  • retirement benefits
  • a learning and development stipend
  • generous PTO
  • equity based compensation
  • may be eligible for additional benefits such as a commuter stipend
  • Fulltime
Read More
Arrow Right

Senior Machine Learning Engineer, Simulation Evaluation

Waymo is an autonomous driving technology company with the mission to be the wor...
Location
Location
United States , Mountain View
Salary
Salary:
213000.00 - 263000.00 USD / Year
a16z
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's, Master's, or PhD in computer science, machine learning, robotics, or a related field
  • Five or more years of experience in machine learning engineering or applied deep learning, supported by a portfolio of shipped products or peer-reviewed publications
  • Proficient programming skills in Python and hands-on experience with modern machine learning frameworks such as Jax, Flax, or PyTorch
  • Experience designing and implementing evaluation frameworks for complex systems or machine learning models.
Job Responsibility
Job Responsibility
  • Lead the design, development and deployment of cutting-edge evaluation approaches to assess realism of state-of-the-art multimodel world models and generative systems for simulation use cases at Waymo
  • Architect and implement robust and scalable machine learning pipelines for tuning, evaluating, and deploying large-scale discriminator models for the purposes of simulator realism evaluation
  • Evaluate open-source and production-ready video generation techniques that measure realism (e.g. temporal stability, multi-modal consistency, geometric discrepancy, condition following, etc.)
  • Apply vision language models to evaluate semantic understanding and controllability across our world simulation products
  • Collaborate with research teams across Waymo and Alphabet to integrate advancements in 4D world modeling and generative AI into production systems
  • Mentor engineers on the team and provide technical guidance on architecture and execution.
What we offer
What we offer
  • Waymo’s discretionary annual bonus program
  • equity incentive plan
  • generous Company benefits program
  • Health and wellness
  • Financial wellness
  • Flexibility and time off
  • Fulltime
Read More
Arrow Right

Research Engineer Robotics (Systems)

Reality Labs Research (RL-R) brings together a diverse and highly interdisciplin...
Location
Location
United States , Redmond
Salary
Salary:
183997.00 - 257000.00 USD / Year
meta.com Logo
Meta
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • Bachelor's degree in Computer Science, Computer Engineering, Robotics, or related technical field (or equivalent practical experience)
  • 5+ years of experience in robotics engineering, including hands-on work with robotic platforms in industry or academic research settings
  • Demonstrated experience with machine learning systems in a robotics context (e.g., learned control policies, perception models, or ML-driven planning)
  • Full-stack systems engineering experience designing, building, and maintaining large-scale software-hardware systems
  • Track record of driving complex, ambiguous technical projects from conception through delivery with minimal direction
  • Experience communicating technical decisions and system designs to cross-functional stakeholders across research and engineering functions (e.g., design documents, technical reviews, project proposals)
Job Responsibility
Job Responsibility
  • Architect & Own Real-Time Robotic Systems: Design and maintain real-time dexterous manipulation pipelines that integrate perception, planning, and control across multiple robotic platforms. Drive architectural decisions that enable rapid research iteration at scale
  • Lead Data Capture & Retargeting Infrastructure: Architect motion capture integration, novel hardware prototypes, and human demonstration data collection systems. Build scalable processing pipelines for large multimodal datasets that enable efficient model training and real2sim transfer
  • Drive ML-Systems Integration: Deploy and iterate on learned control policies (imitation learning, MPC, reinforcement learning) within full robotic systems. Partner with research teams to bridge the gap between algorithmic advances and real-world system performance
  • Optimize Performance & System Reliability: Own runtime performance, debug complex system behaviors across the stack, and develop interactive demos and benchmarks that demonstrate research progress
  • Set Technical Direction: Identify and drive cross-cutting technical improvements. Influence roadmap and priorities through deep system understanding and proactive problem identification
  • Collaborate & Mentor Cross-Functionally: Work with diverse research and engineering teams to refine modules, drive end-to-end system improvements, and elevate the technical capabilities of the broader team
What we offer
What we offer
  • Bonus
  • equity
  • benefits
  • Fulltime
Read More
Arrow Right

Machine Learning Engineer II - Av Foundation, Av Labs

Uber is launching AV Labs to accelerate the autonomous technology ecosystem. We’...
Location
Location
United States , Sunnyvale
Salary
Salary:
171000.00 - 190000.00 USD / Year
uber.com Logo
Uber
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • PhD or MS with equivalent industry experience in Computer Science, Robotics, or a related field
  • Relevant experience in the field of autonomous vehicles or computer vision, with a strong understanding of how research ideas connect to autonomous vehicles
  • Demonstrated technical contributions, including publications at leading ML and CV conferences such as CVPR, ICCV, ICLR, NeurIPS, or similar venues
  • Proficiency in Python and modern deep learning frameworks such as PyTorch or TensorFlow
  • Strong communication skills and the ability to collaborate effectively with researchers and engineers across teams
Job Responsibility
Job Responsibility
  • Design and develop cutting-edge techniques for autonomous vehicle research
  • Collaborate closely with engineering teams and product teams across AV Labs
  • Publish and present original research at top-tier CV and ML conferences
What we offer
What we offer
  • Bonus program
  • Equity award
  • 401(k) plan
  • Various benefits (see link for details)
  • Fulltime
Read More
Arrow Right

Senior Computer Vision Machine Learning Engineer

Careers/codvo Engineering Senior Computer Vision Machine Learning Engineer Pune,...
Location
Location
India , Pune
Salary
Salary:
Not provided
Codvo AI
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or related field
  • 5+ years of experience in Computer Vision and Machine Learning (deep learning emphasis)
  • Proficiency in Python, C++, TensorFlow, PyTorch
  • Strong understanding of model optimization techniques for edge deployment
  • Hands-on experience with NVIDIA platforms – IGX, Jetson, or Xavier (IGX Orin highly preferred)
  • Experience with NVIDIA SDKs (e.g., DeepStream, TensorRT, CUDA, TAO Toolkit)
  • Solid knowledge of vision tasks: object detection, tracking, classification, segmentation
  • Familiarity with containerization (Docker), CI/CD pipelines, and version control (Git)
Job Responsibility
Job Responsibility
  • Lead the design, development, and deployment of end-to-end computer vision and deep learning models
  • Optimize and deploy CV/ML pipelines on edge platforms, particularly NVIDIA IGX (Orin preferred)
  • Work with cross-functional teams to integrate models into real-time applications (e.g., robotics, safety systems, industrial inspection)
  • Develop and maintain datasets, perform data augmentation, and ensure quality training inputs
  • Leverage NVIDIA SDKs (e.g., DeepStream, TensorRT, TAO Toolkit, CUDA) for performance and acceleration
  • Collaborate with hardware engineers to fine-tune models for power, latency, and throughput constraints
  • Stay up to date with the latest research and techniques in computer vision, edge AI, and embedded ML
What we offer
What we offer
  • Opportunity to work on cutting-edge AI/edge technology with real-world impact
  • Collaborative and fast-paced engineering culture
  • Flexible working hours and remote work options
  • Competitive salary and benefits package
  • Fulltime
Read More
Arrow Right

Staff Machine Learning Engineer - AV Labs

Uber is launching AV Labs to accelerate the autonomous technology ecosystem. We'...
Location
Location
United States , Sunnyvale
Salary
Salary:
232000.00 - 258000.00 USD / Year
uber.com Logo
Uber
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 8+ years of working experience in the ML, Robotics, or Autonomous Systems industry
  • Proven experience leading large-scale technical projects from conception to production
  • Bachelor’s degree in Computer Science, Computer Engineering, or related fields
  • Expert-level proficiency in Python and Linux environments
  • Deep expertise in modern AI/ML frameworks (e.g., PyTorch)
Job Responsibility
Job Responsibility
  • Set the technical roadmap and lead the delivery of state-of-the-art Machine Learning systems
  • Algorithm Development: Lead the strategy for development of autonomy algorithms and foundation models that extract high-fidelity semantic meaning from complex urban edge cases to enrich our L4 data lake
  • Architecture & System Design: Design and oversee the implementation of complex, large-scale ML systems, ensuring seamless integration between upstream sensor data
  • Technical Mentorship & Influence: Mentor senior and lead engineers, fostering a culture of rigorous experimentation and engineering excellence
  • Platform Evolution: Define the requirements for high-quality datasets and auto-labeling systems, ensuring our ML infrastructure evolves at the speed of the latest research
  • Cross-Organizational Leadership: Act as a bridge between AV Labs and other Uber engineering units to ensure that autonomous technology is successfully integrated and deployed at scale
What we offer
What we offer
  • Eligible to participate in Uber's bonus program
  • May be offered an equity award & other types of comp
  • Eligible to participate in a 401(k) plan
  • Various benefits
  • Fulltime
Read More
Arrow Right

Machine Learning Engineer - Perception

As an ML Engineer on our perception team, you will own the development and deplo...
Location
Location
United States , Mountain View
Salary
Salary:
154900.00 - 222365.00 USD / Year
aeva.com Logo
Aeva
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • MS or PhD in CS, Robotics, or a related field
  • Hands-on experience with 3D object detection on LiDAR point clouds
  • Experience using VLMs for auto-labeling or offline perception tasks
  • Strong Python and PyTorch skills
  • Familiarity with large-scale dataset pipelines and annotation workflows
  • Experience with multi-object tracking or sensor fusion is a plus
Job Responsibility
Job Responsibility
  • Train and evaluate 3D perception models for object detection, segmentation, and lane detection
  • Improve model performance across challenging conditions such as long range and sparse point clouds
  • Deploy perception models to production and own the full lifecycle from research to real-world integration
  • Diagnose and resolve deployment issues including latency, accuracy degradation, and edge case failures in the field
  • Monitor model performance in production and iterate rapidly based on real-world feedback
  • Build auto-labeling pipelines using vision-language models to accelerate data annotation
What we offer
What we offer
  • Comprehensive medical, dental, and vision coverage
  • Pre-tax commuter and health care/dependent care accounts
  • 401k plan
  • Life and disability benefits
  • Flexible time off
  • Paid parental leave
  • 11 paid holidays annually
  • Fulltime
Read More
Arrow Right