Autonomy Senior Data Scientist

Company Overview

Joby Advanced Development designs, develops, and flight-tests novel aircraft using a software-first autonomy approach. We build and deploy autonomy, perception, planning, and radar systems across conventional, electric, and hydrogen-electric aircraft in both CTOL and VTOL configurations.

Overview

Joby Advanced Development is seeking a Autonomy Senior Data Scientist, to build the AI data and evaluation platform for our Superpilot™ autonomy stack. This position offers a unique opportunity to design and build the AI data science solutions that power Joby’s varied fleet of autonomous aircraft. In this role, you will develop data-centric AI solutions to autonomy problems, involving data engineering and machine learning. The role requires broad industry experience and deep technical knowledge of data science and data engineering.

You will build robust software for flight telemetry, sensor, and imagery data, turning raw logs, collected data, and synthetic data into reliable AI datasets, metrics, and workflows that support development, validation, and deployment. Further, you will also build AI solutions using this data to solve autonomy problems in perception and other applications. Your work will help teams develop algorithms, detect regressions, investigate edge cases, and validate safety-critical behavior long before it reaches flight operations.

We are a small, high-impact team that values curiosity, technical initiative, and the ability to operate independently. You will collaborate deeply with perception, controls, and flight software engineers to build a foundation that accelerates our path to safe, autonomous flight. The right candidate is a strong AI data scientist who cares deeply about system design, reliability, developer experience, and enabling fast, safe iteration across multiple aircraft programs.

Responsibilities

AI Data Annotation and Curation

Design, implement, and maintain a scalable auto-labeling pipeline for a heterogeneous fleet of aircraft and simulators and their associated imagery and data

Design, implement, and maintain a scalable data quality pipeline for curating, filtering, and analyzing data for autonomy data

Develop data-centric algorithms and software to catalog the data (metadata, anomaly detection, missing data)

AI Data Evaluation and Analysis

Build the AI data software that transforms raw flight and simulation data into trustworthy metrics, curated datasets, and actionable engineering insight

Develop scalable pipelines for AI algorithm evaluation, analysis, and visualization

AI Solutions Development

Design and develop data-centric AI solutions for autonomy problems in perception and decision-making

Proactively explore the data, develop new metrics, interpret trends, and investigate anomalies in data from both real world and simulation

Collaborate closely with the rest of the Superpilot™ team to ideate, plan and execute on high-quality, well-integrated solutions and feature

Monitor system health and performance, proactively addressing issues and providing user support

Required

Degree in computer science, aerospace engineering, or related field

8+ years of experience in data science

Expertise in machine learning model development, evaluation, and deployment

Expertise in data analytics, dashboards, and visualization

Experience in building dataset management solutions, platforms, and infrastructure

Strong proficiency in Python and Git within a Linux-based environment

Experience with cloud data and compute (AWS, GCP, Azure)

Proven ability to document complex technical designs, architectural trade-offs, and implementation roadmaps

Champion of software best practices, including rigorous code reviews and mentorship

Excellent communication skills for collaborating with cross-functional teams

This position must meet US export control compliance requirements, therefore a candidate must qualify as a “US Person” as defined by 22 C.F.R. § 120.15. “US Person” includes US Citizens, lawful permanent residents, refugees, or asylees.

Desired

Expert-level software engineering: deep expertise in architecting and writing clean, scalable, and maintainable code

Experience data engineering infrastructure, platforms, tools

Experience processing high-bandwidth sensor data from robotics such as cameras, lidar, radar

Experience in processing aircraft data such as GPS, inertial, air data, radio data

Experience with MLOps and DevOps to deploy ML models in a production environment using tools such as MLflow, Dagster, Docker, Kubernetes

Compensation at Joby is a combination of base pay and Restricted Stock Units (RSUs). The target base pay for this position is $149,900 - $202,600/yr. The compensation package will be determined by job-related knowledge, skills, and experience.

Joby also offers a comprehensive benefits package, including paid time off, healthcare benefits, a 401(k) plan with a company match, an employee stock purchase plan (ESPP), short-term and long-term disability coverage, life insurance, and more.

Additional Information

Joby Aviation is an equal opportunity employer.