Imagine a piloted air taxi that takes off vertically, then quietly carries you and your fellow passengers over the congested city streets below, enabling you to spend more time with the people and places that matter most. At Joby, we've been working to make that dream a reality since 2009 and we're now in the final stages of certifying our aircraft with the FAA. With plans to launch our aircraft in the US and Dubai, we're now scaling manufacturing and preparing for the launch of our commercial service.
OverviewWe’re looking for a Senior AI Engineer to help bring pragmatic, production-grade AI capabilities into the systems that power Joby’s manufacturing and enterprise workflows. In this role, you’ll partner closely with software engineers, product, and operations teams to identify high-impact opportunities, build reliable AI services, and ensure they are safe, observable, and maintainable in real-world use. You’ll work in a fast-moving, high-ownership environment at the intersection of software, data, and aircraft manufacturing—where the output of your work directly improves how we build and scale.
Responsibilities- Identify, prototype, and deploy AI/ML solutions into production to improve internal workflows (e.g., knowledge retrieval, document automation, quality/process insights, decision support)
- Architect and implement the company’s AI platform foundations so teams can ship AI safely and consistently
- Design and build AI services that are scalable, secure, and observable
- Build and maintain core ML/LLM infrastructure (model gateways, prompt/agent orchestration patterns, feature/embedding pipelines, vector search, caching, and rate limiting)
- Design and operationalize event-based agent frameworks that can react to changes across internal systems
- Develop evaluation strategies for LLM and ML systems (offline metrics, human-in-the-loop review, regression testing, prompt/model benchmarking)
- Implement guardrails and safety mechanisms (policy checks, data controls, failure-mode analysis, fallback behaviors)
- Own end-to-end delivery: data access/quality, model selection or training, deployment, monitoring, and lifecycle management
- Contribute to engineering best practices: leading the effective use of AI coding tools to maximize developer velocity, code and data pipeline reviews, probabilistic testing and model evaluations, MLOps/operational readiness, and on-call/operational readiness
- B.S. or M.S. in Computer Science, Engineering, or equivalent practical experience
- 5+ Years of software engineering experience
- Strong Python skills and experience building ML/AI systems (LLMs and/or classical ML), including implementing and operating the surrounding infrastructure
- Experience designing and implementing production ML/LLM systems end-to-end (service architecture, data pipelines, deployment, monitoring, and incident response).
- Solid understanding of APIs, data access patterns, and reliable system design
- Strong communication skills and a track record of collaborating across functions to deliver outcomes
- Experience with modern ML tooling (PyTorch, Hugging Face) and LLM frameworks (LangChain, LlamaIndex)
- Experience with MLOps practices: data/versioning, model evaluation, CI/CD for ML, reproducible training/inference pipelines
- Experience building internal AI frameworks/platforms (shared components, standards, guardrails, evaluation, and enablement) used by multiple teams
- Familiarity with retrieval-augmented generation (RAG), embeddings, vector databases, and search/re-ranking approaches
- Experience integrating AI into real workflows (human-in-the-loop, prompt evaluation, guardrails, failure-mode analysis)
- Familiarity with data systems (streaming and/or batch) and analytics ecosystems
Compensation at Joby is a combination of base pay and Restricted Stock Units (RSUs). The target base pay for this position is $137,200 - $206,600/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.
Joby is an Equal Opportunity Employer
Skills Required
- B.S. or M.S. in Computer Science, Electrical Engineering, or equivalent practical experience
- 5+ years of software engineering experience building and operating production systems
- Strong Python skills
- Experience building AI/ML, computer vision, or data-intensive systems
- Experience designing APIs, services, integrations, and maintainable system architectures
- Experience moving prototypes into reliable production systems
- Strong debugging, testing, and observability practices
- Clear communication and cross-disciplinary collaboration experience
- Computer vision experience in object detection, segmentation, or image-processing pipelines
- Experience operating GPU compute for AI workloads, model serving, inference optimization, or on-premises/hybrid infrastructure
- Familiarity with modern ML and LLM tooling, including evaluation frameworks, labeling workflows, retrieval-augmented generation, embeddings, or agentic workflow automation
- Experience building internal tools or enterprise applications integrating manufacturing data systems and real-time operational processes
Joby Aviation Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Joby Aviation and has not been reviewed or approved by Joby Aviation.
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Wellbeing & Lifestyle Benefits — Wellbeing perks are positioned as a meaningful part of the total package, including free daily meals and access to an on-site gym. These amenities are portrayed as reducing day-to-day costs and friction, making the overall rewards feel richer for some roles and sites.
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Retirement Support — Retirement support is described as comprehensive, including a 401(k) plan with a company match. Ownership-oriented savings options like an ESPP are also included alongside retirement benefits.
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Equity Value & Accessibility — Equity participation is a prominent component of total rewards through RSUs and an ESPP, making upside potential a core part of compensation design. This structure is framed as especially attractive when equity is valued as part of overall pay competitiveness.
Joby Aviation Insights
What We Do
Joby is a California-based company building quiet, all-electric aircraft to connect people like never before. With up to 150 miles of range and the ability to take off and land vertically, the Joby aircraft will change the way we move while reducing the acoustic and climate footprint of flight.
