{"id":4304167,"url":"https://alion.io/job/toast-principal-machine-learning-engineer-vision-ai","title":"Principal Machine Learning Engineer, Vision AI","company":{"id":13243,"name":"Toast","domain":"toasttab.com","url":"https://alion.io/company/toasttab","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":79,"open_postings":116,"ghost_share":0.009,"stale_share":0.793,"repost_share":0.026,"time_to_fill_p50_days":33,"computed_at":"2026-11-14T05:58:10Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"lead","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":[],"countries":[],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":230000,"max":368000,"currency":"USD","period":"year","gross":null,"usd_annual":368000},"salary_estimate":null,"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"Claude Code","optional":false},{"name":"Cursor","optional":false},{"name":"FFmpeg","optional":false},{"name":"Java","optional":false},{"name":"Kotlin","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Amazon Kinesis","optional":true},{"name":"C","optional":true},{"name":"Computer Vision","optional":true},{"name":"GStreamer","optional":true},{"name":"WebRTC","optional":true}],"status":"live","first_seen_at":"2026-11-14T02:21:48Z","employer_posted_date":"2026-11-14","last_verified_at":"2026-11-14T05:51:28Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy. Toast powers restaurants of every size, from neighborhood favorites to the largest multi-unit brands in the industry. We're investing in Vision AI to help operators see more of what's happening in their restaurants and act on it, so they can run more efficiently, provide better service, and become even more profitable.\nWe're looking for a Principal Machine Learning Engineer, Vision AI to architect and build the platform behind these products. You'll have an outsized influence on how Vision AI is built and how it reaches restaurants across Toast. This is a highly hands-on role: you'll spend most of your time designing, building, and shipping, and you'll own the technical direction of the platform.\nA day in the life (Responsibilities)\nArchitect and build the core platform. Design the video pipeline and other essential components, from how video is captured and ingested to how it's stored, processed, and delivered, so the platform is secure and reliable.\nOwn the services that analyze video. Build the services that process footage, run vision models, and turn what they see into observations and metrics restaurants can act on.\nBuild ML systems and drive model choices. Select and integrate vision models, including vision-language models, and build the ML systems around them, such as inference pipelines, evaluation, and monitoring of model performance in production. Partner with our ML engineers as models mature.\nBuild customer-facing use cases across Toast. Bring vision-powered features to restaurant operators across Toast's products and surfaces.\nSet the technical direction. Make the key architecture decisions for the Vision AI platform, building what's right for today while keeping a clear path to where we're headed.\nStay hands-on. Write production code, prototype new ideas, and ship. You'll lead through building, not just reviewing.\nCollaborate across orgs. Partner with teams across Toast on integrations, dependencies, and working models when the work calls for it.\nLead with AI-forward engineering. Use AI coding tools and agent harnesses as a core part of how you design, build, test, and ship, and help the team adopt workflows that make everyone faster.\nRaise the bar. Mentor engineers, set standards for reliability, security, and privacy, and make the platform easier to build on with every use case.\nWhat you'll need to thrive (Requirements)\nDeep engineering experience. 10+ years building software, including designing and shipping distributed systems and data pipelines in production at scale.\n Backend and cloud expertise. Strong experience with cloud infrastructure (AWS preferred), event-driven systems (e.g. Pulsar or Kafka), storage, and APIs, in Kotlin, Java, or similar languages, plus comfort with Python.\n Experience with ML systems and video. You don't need to be a model researcher, but you understand how models are trained, tuned, and served, and you've built and operated ML systems in production, including inference pipelines, evaluation, and model monitoring. You're also comfortable working with video (streams, codecs, tools like ffmpeg).\nPragmatic architecture. A track record of designing systems that fit the current stage, avoiding over-engineering while leaving room to grow.\nZero-to-one experience. Experience taking ambiguous ideas from prototype to production with real customers.\nHands-on keyboard. You still write significant production code and enjoy doing it.\n AI-forward ways of working. Daily use of AI coding assistants and agent harnesses (e.g. Claude Code, Cursor), and experience building with LLM or vision-language model APIs.\nCollaboration and communication. Ability to align engineers, product partners, and other orgs around technical decisions and explain tradeoffs clearly.\nThis role may not be a fit for you if...\nYou want a primarily cross-org or architecture-only role. This is a hands-on keyboard role. You'll spend most of your time building, with cross-org collaboration when the work requires it.\nYou're more attached to the solution than the problem. We want someone obsessed with solving real problems for restaurant operators, who picks the simplest approach that solves them.\nYou tend to build for scale before it's needed. We need someone who builds the right solution for where we are today and what customers are telling us, while keeping long-term direction in mind and knowing when to invest in it.\nYou prefer established processes and tooling. This team moves fast and shapes its own ways of working. You'll help create the workflows, tools, and standards rather than inherit them.\nYou're uncomfortable with ambiguity. The problems we take on and the best ways to solve them will keep evolving, and priorities will shift as we learn from customers.\nYou'd rather be perfect than experiment. We move fast, test ideas with real restaurants, and accept that some of what we build will be thrown away once we learn what works.\nAI-assisted development isn't part of how you work. We expect AI tools to be central to how we design, build, and ship.\nSpecial Sauce (Nice to Haves)\nExperience building computer vision, video analytics, or camera-based products.\nExperience with real-time video pipelines and streaming (e.g. Amazon Kinesis Video Streams, GStreamer, WebRTC).\nExperience with connected device fleets: device provisioning and authentication, remote updates, and constrained networks.\nExperience building privacy-sensitive systems that handle video or personal data.\nBackground in restaurant, retail, hospitality, drive-thru, or other operationally complex environments.\nAI at Toast\nAt Toast, one of our company values is that we're hungry to build and learn. We believe learning new AI tools empowers us to build for our customers faster, more independently, and with higher quality. We provide these tools across all disciplines, from Engineering and Product to Sales and Support, and are inspired by how our Toasters are already driving real value with them. The people who thrive here are those who embrace changes that let us build more for our customers; it’s a core part of our culture.\nOur Total Rewards Philosophy \n We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters’ changing needs. Learn more about our benefits at https://careers.toasttab.com/toast-benefits.\nThe base salary range for this role is listed below. The starting salary will be determined based on skills, experience, and geographic location. In addition to base salary, our total rewards components include cash compensation (overtime, bonus/commissions if eligible), equity, and benefits. You can learn more about how we align pay with local labor markets in our Geographic Pay Zone Philosophy.\nZone A\n$230,000—$368,000 USD\nZone B\n$200,000—$320,000 USD\nZone C\n$180,000—$288,000 USD\nHow Toast Uses AI in its Hiring Process\nThroughout the hiring process, our goal is to get to know you. We use AI tools to support our recruiters and interviewers with tasks like note-taking, summarization, and documentation of interviews to ensure they can be fully focused on your conversation. All hiring decisions are made by people. We ask that you complete interviews and assessments on your own, without real-time AI tools, recording, or transcription bots, unless we tell you otherwise in advance. To learn more: https://careers.toasttab.com/ai-in-hiring\nOur Approach to Hybrid Working\nWe embrace a hybrid work model that fosters in-person collaboration while valuing individual needs. Our goal is to build a strong culture of connection as we work together to empower the hospitality community, regardless of location. Please visit the Locations page on our career site to learn more about our in-office expectations by region: https://careers.toasttab.com/locations-toast\nPeople Are the Secret Ingredient in Our Recipe for Success\nAt Toast, our employees are our secret ingredient-when they thrive, we thrive. The restaurant industry brings together people with a wide range of backgrounds, experiences, and perspectives, and we value that same breadth at Toast. We strive to build a culture grounded in authenticity, respect, and humility, where every Toaster has a real opportunity to grow, contribute, and do their best work-raising the bar in delivering exceptional experiences for our customers and each other.\nApply today!\nToast is committed to creating an accessible and inclusive hiring process. As part of this commitment, we strive to provide reasonable accommodations for persons with disabilities to enable them to access the hiring process. If you need an accommodation to access the job application or interview process, please contact .\n------\nFor roles in the United States, it is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. 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