Principal Machine Learning Engineer, Vision AI
New
T
ToastRestaurant technology
Location: Remote, USFull-TimePrincipal
SalaryZone A $230,000 — $368,000 USD; Zone B $200,000 — $320,000 USD; Zone C $180,000 — $288,000 USD
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Job Details
- Experience
- 10+ years building software
- Required Skills
- AWSPythonJavaKotlinDistributed Systems
Requirements
- 10+ years building software.
- Experience designing and shipping distributed systems and data pipelines in production at scale.
- Strong experience with cloud infrastructure; AWS is preferred.
- Experience with event-driven systems such as Pulsar or Kafka, storage, and APIs.
- Experience with Kotlin, Java, or similar languages, plus comfort with Python.
- Experience building and operating production ML systems, including inference pipelines, evaluation, and model monitoring.
- Understanding of how models are trained, tuned, and served.
- Comfort working with video streams, codecs, and tools such as ffmpeg.
- A track record of pragmatic system architecture and taking ambiguous ideas from prototype to production with real customers.
- Daily use of AI coding assistants and agent harnesses, and experience building with LLM or vision-language model APIs.
- Ability to align engineers, product partners, and other organizations around technical decisions and explain tradeoffs clearly.
Responsibilities
- Architect and build the core Vision AI platform, including video capture, ingestion, storage, processing, and delivery.
- Build services that process video footage, run vision models, and turn results into observations and metrics for restaurant operators.
- Select and integrate vision models, including vision-language models.
- Build inference pipelines and systems for model evaluation and production performance monitoring.
- Develop vision-powered features for restaurant operators across Toast products and surfaces.
- Make architecture decisions for the Vision AI platform and maintain a path for future development.
- Write production code, prototype ideas, and ship software.
- Partner with teams across Toast on integrations, dependencies, and working models.
- Use AI coding tools and agent harnesses to design, build, test, and ship, and help the team adopt these workflows.
- Mentor engineers and set standards for reliability, security, and privacy.
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