Serve Robotics · 3 weeks ago
Sr Machine Learning Engineer, Auto Labeling
United States
Full-time
Remote
Senior Level
$155K/yr - $200K/yr
5+ years expServe Robotics is a company that is reimagining how things move in cities with their innovative sidewalk robots. They are seeking a Senior Machine Learning Engineer to lead the design and implementation of advanced ML models and systems for auto-labeling, enhancing the efficiency of their robotic delivery services.
Artificial Intelligence (AI)Food DeliveryLogisticsRobotics
Responsibilities
Design and implement production-grade auto-labeling pipelines that generate 3D and 4D annotations (objects, trajectories, maps) from multi-modal robot data at scale
Develop data-centric learning workflows that connect auto-label outputs, Serve’s dataset infrastructure, and continuous E2E model training and evaluation pipelines
Lead initiatives in self-training, weak supervision, and simulation-to-real adaptation to reduce manual labeling dependency and accelerate model iteration cycles
Collaborate cross-functionally with multiple autonomy teams(e.g ML-infra, mapping, simulation) to align labeling infrastructure with model training and evaluation workflows
Stay ahead of emerging trends in E2E autonomy and data-centric ML, identifying opportunities to productionize state-of-the-art techniques
Mentor and support ML engineers and interns in developing robust data-centric practices, from dataset curation and labeling feedback loops to model monitoring and continuous improvement
Qualification
Required
M.S. or Ph.D. in Computer Science, Machine Learning, Robotics, or related field, or equivalent industry experience
5+ years of experience developing production ML systems, preferably in autonomous driving, robotics, or large-scale data platforms
Strong background in deep learning (PyTorch/TensorFlow) and scalable ML system design (distributed training, dataflow orchestration, and CI/CD for ML)
Hands-on experience with multi-modal sensor data (LiDAR, camera, IMU, odometry) and end-to-end model architectures
Strong programming skills in Python and solid software engineering fundamentals (testing, versioning, modularity)
Excellent collaboration and communication skills across autonomy, data, and infrastructure teams
Preferred
Experience with transformer-based models and E2E self-driving architectures
Contributions to large-scale robotics or autonomous driving ML stacks
Background in self-supervised learning, active learning, or semi-automated labeling systems
Expertise in cloud-native ML pipelines (GCP, AWS, or Azure) and containerization/orchestration frameworks (Docker, Kubernetes, Airflow, Ray)
Familiarity with simulation data integration (CARLA, UE5, or internal resim environments)
Company
Serve Robotics
Serve Robotics is an autonomous robotic delivery company that develops AI-powered sidewalk delivery robots.
51-200 employees
H1B Sponsorship
Serve Robotics has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2023 (4)
2022 (1)
2021 (5)
Funding
Current Stage
Public CompanyTotal Funding
$394MKey Investors
PostmatesNVIDIANeo
2025-10-10Post Ipo Equity· $100M
2025-01-07Post Ipo Equity· $80M
2024-12-01Post Ipo Equity· $86M
Leadership Team
Ali Kashani
Co-founder & CEO
Dmitry Demeshchuk
Co-Founder and VP of Software
Recent News
2026-01-09
Company data provided by crunchbase