Serve Robotics

Sr. ML Research Scientist

United States

$175,000 – $205,000Compensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Robotics, Artificial Intelligence, AI & Machine Learning, Autonomous VehiclesIndustries

About Serve Robotics

At Serve Robotics, we’re reimagining how things move in cities. Our personable sidewalk robot is our vision for the future. It’s designed to take deliveries away from congested streets, make deliveries available to more people, and benefit local businesses. The Serve fleet has been delighting merchants, customers, and pedestrians along the way in Los Angeles while doing commercial deliveries. We’re looking for talented individuals who will grow robotic deliveries from surprising novelty to efficient ubiquity.

Who We Are

We are tech industry veterans in software, hardware, and design who are pooling our skills to build the future we want to live in. We are solving real-world problems leveraging robotics, machine learning and computer vision, among other disciplines, with a mindful eye towards the end-to-end user experience. Our team is agile, diverse, and driven. We believe that the best way to solve complicated dynamic problems is collaboratively and respectfully.

We’re looking for a motivated ML champion to join our AI team, where you’ll apply advanced machine learning techniques to refine agent prediction and planning models using multi-modality data and support Serve’s robots to navigate through complex sidewalk environments safely and reliably. You will also lead cross-functional collaborations to elevate overall robot behavior and intelligence.

Responsibilities

  • Design and develop next-generation learning-based prediction and planning pipelines to support the scalable deployment of a growing robot fleet.
  • Research, prototype, and implement state-of-the-art machine learning algorithms—such as imitation learning and reinforcement learning—for the autonomy stack.
  • Stay up to date with the latest advances in prediction and end-to-end modeling.
  • Curate and maintain diverse, real-world datasets to train and rigorously evaluate prediction and planning models across a wide range of scenarios.
  • Analyze model performance across key metrics and drive optimizations for reliability, computational efficiency, and real-world deployability.
  • Collaborate cross-functionally to define robust testing and validation processes for learning-based models, contributing to more intelligent and adaptable robot behaviors.

Qualifications

  • Master's degree in Computer Science, Robotics, Electrical Engineering, or a related field with 5+ years of industry experience in building perception and prediction modules for robotics / AV stack.
  • Hands-on experience with machine learning frameworks (TensorFlow, PyTorch, etc.).
  • Exposure to state-of-the-art research or publications in perception and prediction approaches.
  • Strong background in sensor fusion (especially lidar and camera) and modern transformer-based model architecture.
  • Proven track record of building ML pipelines and deploying models in production.
  • Proficient in Python and C++.
  • Someone who has a high bar to write production quality code.
  • Experience with large-scale real-world dataset curation and management.

What Makes You Stand Out

  • PhD in Computer Science, Robotics, Electrical Engineering, or a related field with 5+ years of industry experience in building perception and prediction modules for robotics / AV stack.
  • In-depth knowledge of simulation environments or real-time testing in robotics.
  • Experience working with foundational models, including end-to-end architectures, Vision-Language Models (VLM), and Vision-Language-Action (VLA) models.
  • Open source project contributor.
  • Extensive experience with GCP or AWS, Kubernetes and Docker.

Job Details

  • Salary: $175K - $205K
  • Location Type: Remote
  • Employment Type: FullTime

Skills

Machine Learning
Robotics
Computer Vision
Imitation Learning
Reinforcement Learning
Prediction Models
Planning Models
Multi-modality Data
Autonomous Systems
Data Curation
Model Evaluation

Serve Robotics

Autonomous delivery robots for food and retail

About Serve Robotics

Serve Robotics is changing the delivery industry with its self-driving robots that provide sustainable and efficient delivery solutions. Instead of using traditional vehicles, these lightweight, autonomous robots deliver small items like food and retail products, reducing carbon emissions and traffic congestion. The company operates on a delivery-as-a-service (DaaS) model, allowing businesses in the food and retail sectors to subscribe and pay based on their delivery needs. Serve Robotics aims to lead in the autonomous delivery market by offering eco-friendly solutions that enhance customer experience.

Redwood City, CaliforniaHeadquarters
2021Year Founded
$51.6MTotal Funding
POST_IPO_EQUITYCompany Stage
Food & Agriculture, Robotics & Automation, Consumer GoodsIndustries
51-200Employees

Risks

Rapid expansion may strain resources and operational capabilities.
Integration of Vebu could divert focus from core delivery services.
Over-reliance on partners like Uber and Nvidia poses potential risks.

Differentiation

Serve Robotics uses zero-emissions rovers for eco-friendly food delivery.
The company offers delivery-as-a-service with a subscription-based revenue model.
Serve Robotics integrates Vebu's Autocado for expanded automation solutions.

Upsides

Recent $80M funding supports expansion to 2,000 robots by end of 2025.
Acquisition of Vebu enhances automation offerings beyond delivery services.
Appointment of Anthony Armenta boosts AI and software capabilities.

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