Sr. ML Research Scientist

United States

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$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

Requirements

Candidates must possess a Master's degree in Computer Science, Robotics, Electrical Engineering, or a related field, coupled with over 5 years of industry experience in developing perception and prediction modules for robotics or AV stacks. Proficiency in Python and C++ is essential, along with hands-on experience in machine learning frameworks like TensorFlow or PyTorch, and a proven ability to build ML pipelines and deploy models in production. Strong background in sensor fusion, particularly lidar and camera, and modern transformer-based model architectures, as well as experience with large-scale real-world dataset curation and management, are also required. Standout qualifications include a PhD in a relevant field, in-depth knowledge of simulation environments or real-time robotics testing, experience with foundational models (VLMs, VLAs), contributions to open-source projects, and extensive experience with cloud platforms (GCP/AWS) and containerization technologies (Kubernetes, Docker).

Responsibilities

The Sr. ML Research Scientist will design and develop next-generation learning-based prediction and planning pipelines for a growing robot fleet. Responsibilities include researching, prototyping, and implementing state-of-the-art machine learning algorithms such as imitation learning and reinforcement learning for the autonomy stack, while staying current with the latest advances in prediction and end-to-end modeling. This role involves curating and maintaining diverse, real-world datasets to train and evaluate models, analyzing model performance to drive optimizations, and collaborating cross-functionally to define testing and validation processes for learning-based models to enhance robot behavior and intelligence.

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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