Founding ML Engineer at Coco

California, United States

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$150,000 – $225,000Compensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Logistics, Robotics, Autonomous VehiclesIndustries

Requirements

2+ years experience in machine learning, computer vision, robotics, or autonomous systems
Proven track record of training and deploying a real world neural network
Extremely well versed in the models and techniques that have been used and are currently in use with autonomous driving or robotics systems in constrained, production environments (SfM, SLAM, large-scale mapping & localization, RL, imitation learning, neural rendering, etc.)
Expertise in training and deploying deep learning models, particularly in vision (CNNs, object detection, semantic segmentation)
Excellent programming skills in Python and C++. Practical experience with PyTorch
Experience in optimizing large-scale ML models and deploying them on distributed cloud/edge infrastructure
Strong leadership and communication skills

Responsibilities

Develop the architecture and implementation of machine learning models that power the autonomous vehicle’s perception, decision-making, and control systems
Design and implement algorithms for object detection, sensor fusion, path planning, and real-time decision-making
Develop and maintain robust data pipelines to ingest, label, and preprocess data from multiple sensors (LiDAR, cameras, radar)
Train and optimize deep learning models using simulation and real-world data. Focus on improving system accuracy, robustness, and efficiency
Build simulation environments to test various driving scenarios and edge cases; work closely with the hardware team to ensure smooth integration of software with vehicle systems
Ensure that the autopilot system adheres to safety standards and regulations, incorporating redundancy and fail-safe mechanisms
Play a key role in recruiting, mentoring, and leading a high-performance machine learning and autonomy team

Skills

Key technologies and capabilities for this role

Machine LearningDeep LearningObject DetectionSensor FusionPath PlanningLiDARComputer VisionData PipelinesReal-time Decision MakingAutonomy StackPerception SystemsControl Systems

Questions & Answers

Common questions about this position

What is the salary range for the Founding ML Engineer position?

The salary range is $150K - $225K.

Is this role remote or onsite?

The position is onsite.

What skills and experience are required for this role?

Candidates need 2+ years in machine learning, computer vision, robotics, or autonomous systems, a proven track record of training and deploying real-world neural networks, and expertise in models like SfM, SLAM, RL, imitation learning for autonomous driving or robotics in production environments.

What is the team structure like for this position?

You will work alongside the CTO and fellow team members in the autonomy team, playing a key role in recruiting, mentoring, and leading a high-performance machine learning and autonomy team.

What makes a strong candidate for this Founding ML Engineer role?

A strong candidate has 2+ years in ML, computer vision, robotics, or autonomous systems, proven experience deploying real-world neural networks, deep knowledge of autonomy techniques like SLAM and RL, and the ability to lead and recruit a team.

Coco

Food delivery service from local restaurants

About Coco

CocoDelivery.com is a food delivery service that connects customers with local restaurants, ensuring faster, hotter, and fresher deliveries. It features a transparent pricing model with a single delivery fee, avoiding hidden costs that are common in the industry. The company also supports local restaurants by helping them reach a wider customer base, while operating with a commitment to zero emissions, appealing to environmentally conscious consumers. By charging a delivery fee shared with restaurants, CocoDelivery.com aims to maintain lower fees and generate profits through high order volume.

Santa Monica, CaliforniaHeadquarters

2020Year Founded

$40.4MTotal Funding

SERIES_ACompany Stage

Food & Agriculture, Social ImpactIndustries

501-1,000Employees

Risks

Dependency on Uber's platform may lead to loss of direct customer relationships.

Technological challenges in partnerships could delay delivery improvements.

Reliance on robotic systems may face public resistance and technological malfunctions.

Differentiation

Coco promises faster, hotter, and fresher deliveries than competitors.

The company operates with a zero-emissions model, appealing to eco-conscious consumers.

Transparent pricing with no markups or tips sets Coco apart in the delivery industry.

Upsides

Partnership with Uber Eats expands market reach and customer base.

Advancements in AI and robotics reduce operational costs and increase efficiency.

Growing demand for sustainable delivery aligns with Coco's zero-emissions promise.

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