{"id":2548665,"url":"https://alion.io/job/everseen-applied-ai-engineer","title":"Applied AI Engineer","company":{"id":48052,"name":"Everseen","domain":"everseen.com","url":"https://alion.io/company/everseen","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"B","score":75,"open_postings":5,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-15T05:46:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Herndon, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":143000,"max_usd":312000,"period":"year","method":"role_country_seniority_unknown","sample_n":4027},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CI/CD","optional":false},{"name":"Computer Vision","optional":false},{"name":"CUDA","optional":false},{"name":"CUDA Toolkit","optional":false},{"name":"Git","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multimodal AI","optional":false},{"name":"ONNX","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"PyTorch C++","optional":false},{"name":"TensorRT","optional":false},{"name":"World Models","optional":false},{"name":"C++","optional":true},{"name":"Docker","optional":true},{"name":"Kubernetes","optional":true},{"name":"Linux","optional":true},{"name":"OpenCV","optional":true}],"status":"live","first_seen_at":"2026-09-03T17:13:06Z","employer_posted_date":"2026-09-03","last_verified_at":"2026-10-15T04:25:37Z","board_verified":true,"closed_at":null,"days_open":41,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":41},"description":"The Role\nReporting to the VP of Engineering who leads the development of our next generation platform, you will help build the next generation platform that powers Everseen’s products. This is hands-on work at the core of what we ship. You will design, train and take models into production that run against live retail video at massive scale. You will work with the latest advances in vision and multimodal AI, including vision language models and world models, and the systems that make them run in real time. This is a high impact role that will enable you to take on complex problems and see your work reach thousands of stores and impact customer journeys in real time.\nThis role will allow you to take your career to the next level, working alongside industry experts and scaling a successful global organization.\nOur Technology Stack\nOur engineering teams at Everseen have the opportunity to work with and develop skills across a modern, high-performance tech stack:\n Languages: Python, C/C++, CUDA (for GPU-accelerated computing)\nAI/ML & Computer Vision: PyTorch, OpenCV, TensorRT, ONNX\nTools & Infrastructure: Linux, Docker, Kubernetes, Git, and CI/CD pipelines\n Data & Streaming: Real-time video processing, RTSP/video streaming, and cloud platforms\nWhat you’ll do\nDesign, train, evaluate and own vision and multimodal models for Everseen’s next generation platform, and take them from prototype through to production.\nApply vision language models and world models to real retail problems, and understand what holds up at scale and what does not.\nDesign and implement targeted solutions to optimize system efficiency, real-time performance, and output.\nBuild and optimize real-time vision AI pipelines that process live video across thousands of checkouts and stores.\nPartner with research and platform engineers to move new model architectures into production under tight latency and cost constraints.\nRun experiments, measure results honestly, and let the data decide what ships.\nOptimize models for GPU and edge deployment using tools such as TensorRT and ONNX, trading off accuracy against speed and footprint.\nContribute to and collaborate on the shared codebase, review other engineers’ work, and help raise the bar across the team.\nKeep up with new research in computer vision and multimodal AI, expand on experimental results presented by others and successfully transition from research to production.\nCollaborating With\nYou will work closely with the applied AI, platform and infrastructure engineers, MLOps engineers and product managers, along with the operations teams that deploy our software to customers. You will also work with our hardware and cloud partners such as NVIDIA and Google as new models move from the lab into stores.\nProfile and Skills\n3-5 years building and shipping machine learning or computer vision systems, with real time spent taking models into production rather than only doing research.\nWorking knowledge of vision language models (VLMs) and world models, and a clear sense of where they help and where they do not.\nStrong programming skills in Python and hands-on experience with a modern deep learning framework such as PyTorch.\nSolid grounding in computer vision and deep learning fundamentals, including training, evaluation and debugging of real models on messy data.\nDeep understanding of computer vision and deep learning fundamentals including tuning, training, evaluation and debugging of real models on messy data.\nExperience building real-time vision AI applications is a strong advantage.\nFamiliarity with model optimization and deployment tooling such as TensorRT, ONNX, CUDA and GPU inference.\nComfortable working with large scale video or image data and the infrastructure around it.\nSolid understanding of software engineering principles, version control (Git), and CI/CD pipelines. Ability to integrate and maintain strict standards of code and model quality for easy long-term maintenance.\nA results-first mindset. You care whether the model works in the store, not just on the benchmark.\nExcellent communication skills coupled with the ability and desire to work independently in a fast moving, delivery focused team. You enjoy solving complex problems creatively.\nBachelor’s or Master’s degree in Computer Science, Machine Learning, Engineering or a related field, or equivalent practical experience.","description_format":"text","description_chars":4371,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Retail & Shop Systems","Computer Vision","Retail & Commerce AI"],"lifecycle":[{"event":"open","at":"2026-10-14T17:23:23Z"}],"visa":[],"liveness":{"score":29,"band":"fade","label":"Fading","p_open":1,"p_active":0.518,"p_room":0.55,"age_days":41,"expected_fill_days":28,"reasons":["conf:1","win:tail"],"computed_at":"2026-10-15T05:46:00Z"},"pay":null,"html_url":"https://alion.io/job/everseen-applied-ai-engineer","json_url":"https://alion.io/job/everseen-applied-ai-engineer.json","meta":{"generated_at":"2026-10-15T07:04:24Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":10647,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-16T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":48052},"rest":"https://alion.io/mcp/rest/get_company?id=48052"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Feverseen-applied-ai-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Feverseen-applied-ai-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Feverseen-applied-ai-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/everseen-applied-ai-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Feverseen-applied-ai-engineer"}]}