Standard Bots Logo

Standard Bots

AI Research Engineer

Reposted 22 Days Ago
Be an Early Applicant
Hybrid
Seattle, WA, USA
225K-300K Annually
Senior level
Hybrid
Seattle, WA, USA
225K-300K Annually
Senior level
Develop and optimize AI models and training systems for robotics applications, focusing on design, implementation, and performance optimization of ML models.
The summary above was generated by AI
About Standard Bots

At Standard Bots, we're revolutionizing real-world automation by making robotic systems accessible to everyone. Our AI-powered platform enables robots to tackle unprecedented challenges through an intuitive instruction interface, bringing the power of software automation to physical spaces.

About the Role

We're seeking an AI Research Engineer to develop and optimize our AI models and training systems. This is an exciting opportunity to apply your deep ML expertise to cutting-edge AI/robotics applications. You'll work closely with our engineering team to design, implement, and iterate on large-scale AI models while building efficient systems for rapid experimentation and deployment. We have a small team of AI engineers, so we’re looking for someone who is excited to work at a startup, and work across the stack to do what is needed to get a model that achieves a customer problem.

We're looking for an experienced engineer ready to make a tangible impact in the AI robotics revolution. This role requires a proven background working on ML planning within the autonomous vehicle space with experience using the latest techniques in diffusion and autoregressive models in a professional setting. If you're excited about building the latest advancements in AI and working in the robotics space, we’d love to hear from you.

In this role, you will:

  • Design and implement state of the art ML models and training pipelines:

    • Apply novel machine learning techniques to wide range of robotics applications

    • Develop efficient data and training strategies

    • Implement model evaluation frameworks and metrics tracking

  • Lead model development and iteration with focus on:

    • Rapid experimentation and prototyping of new model architectures

    • Performance optimization and model debugging

    • Transfer learning and fine-tuning strategies

  • Build robust evaluation and debugging systems to:

    • Analyze model behavior and failure modes

    • Implement interpretability tools and visualization frameworks

    • Track and improve model metrics

  • Collaborate with engineering team to optimize training infrastructure and deployment

You might thrive in this role if you:
  • Have 5+ years of AI modeling experience, specifically within the self-driving car industry (or PhD with 3+ years of AI modeling experience in the self-driving car industry)

  • Proven track record developing and deploying large-scale ML models

  • Have experience using the latest techniques in diffusion and autoregressive models in a professional setting

  • Are familiar with training inference and infra pipelines that go from camera input to trajectory output for self driving or robotics

  • Have experience with RL (reinforcement learning)

  • Have a strong understanding of modern ML architectures and training techniques

  • Have experience with model debugging, optimization, and performance tuning

  • Have a background in implementing ML research papers and adapting academic work

Tech Stack
  • PyTorch (experience with PyTorch required)

  • Python

  • NodeJS/Typescript

  • Docker

Compensation and Benefits:

The salary range for this role is $225,000 to $300,000, depending on experience. We are open to a variety of seniority levels for this role and will build compensation packages that are commensurate with seniority and skill level. Base salary is just one part of the overall compensation at Standard Bots. All Full-Time Employees are eligible for Employee Stock Options. We also offer a package of benefits including paid time off, medical/dental/vision insurance, life insurance, disability insurance, and 401(k) to regular full-time employees.

Similar Jobs

Yesterday
In-Office
100K-150K Annually
Senior level
100K-150K Annually
Senior level
Artificial Intelligence • Information Technology • Software • Consulting
Design and ship production-quality ML systems from research to deployment. Prototype and evaluate models across NLP, vision, recommendation, and structured data; implement rigorous experiments, scalable training/inference pipelines, monitoring, and responsible-AI evaluations while collaborating with platform and product teams.
Top Skills: Agentic SystemsDataset Labeling ToolsDistributed TrainingGpuJaxLarge Language ModelsMixed-Precision TrainingMl Orchestration ToolsMultimodal ArchitecturesPythonPyTorchRetrieval-Augmented GenerationTpu
7 Days Ago
In-Office or Remote
6 Locations
198K-247K Annually
Senior level
198K-247K Annually
Senior level
Big Data • Software • Analytics
Customer-facing principal solutions engineer who researches, prototypes, and architects enterprise AI solutions. Designs and runs training pipelines and large-scale experiments, develops model tuning, agent inferencing, and corpora lifecycle methods, and drives the technical sales lifecycle while advising product and engaging customers and community through demos, evangelism, and strategic consultation.
Top Skills: Ai InferenceAi StudiosAi WorkbenchCloudera AiOpen Data LakehouseUnified Data Fabric
14 Days Ago
In-Office
199K-270K Annually
Senior level
199K-270K Annually
Senior level
Big Data • Machine Learning • Software • Analytics • Big Data Analytics
Develop and manage the research infrastructure for AI at Databricks, focusing on large-scale training, orchestration, and improving developer productivity.
Top Skills: C++GoJavaKubernetesRayRustScalaSlurm

What you need to know about the Seattle Tech Scene

Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.

Key Facts About Seattle Tech

  • Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Amazon, Microsoft, Meta, Google
  • Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
  • Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Madrona, Fuse, Tola, Maveron
  • Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account