{"id":2585612,"url":"https://alion.io/job/berry-ai-senior-machine-learning-engineer","title":"Senior Machine Learning Engineer","company":{"id":2593136,"name":"Berry AI","domain":"berry-ai.com","url":"https://alion.io/company/berry-ai","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Taipei, Taiwan"],"countries":["TW"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":22000,"max_usd":58000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2102},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Computer Vision","optional":false},{"name":"ONNX","optional":false},{"name":"OpenVINO","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"TensorFlow","optional":false},{"name":"TensorRT","optional":false},{"name":"AI Agents","optional":true},{"name":"Dagster","optional":true},{"name":"Fine-tuning","optional":true},{"name":"LangChain","optional":true},{"name":"LLM","optional":true},{"name":"LoRA","optional":true},{"name":"MLFlow","optional":true},{"name":"PEFT","optional":true},{"name":"RAG","optional":true},{"name":"Transformers","optional":true}],"status":"live","first_seen_at":"2026-07-31T00:52:12Z","employer_posted_date":"2026-07-31","last_verified_at":"2026-10-16T02:22:05Z","board_verified":true,"closed_at":null,"days_open":77,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":77},"description":"Berry AI builds AI-powered operations platforms for QSR restaurants - drive-thru analytics, loss prevention, and store management tooling deployed at thousands of locations across the US - and growing. Computer vision sits at the core of what we ship. We're hiring a Senior ML Engineer to own model development end-to-end and turn business requirements into production systems.\nWhat you'll work on\nDrive iteration across our AI/ML stack - object detection and tracking, person/vehicle Re-ID, and video understanding running on edge.\n\nBuild efficient algorithms for resource-constrained hardware - implement lightweight architectures and optimization techniques within latency and compute budgets.\n\nTurn business asks into algorithmic problems - design the metrics, run experiments, and drive each iteration with ablation studies and error analysis.\n\nPartner with product engineers to ship and monitor ML systems in production - deployment paths and feedback loops that catch data drift and failure modes.\n\nImprove data and labeling quality - sampling strategy, annotation guidelines, and tooling that keeps a long-lived dataset healthy.\n\nYou're a strong fit if you have\n5+ years building production ML systems, with deep hands-on experience in computer vision, especially in object detection and multi-object tracking.\n\nStrong ML/DL fundamentals - statistics, classical methods, and modern deep learning, with a clear grasp of model internals, training dynamics, and common failure modes.\n\nPython and DL framework experience - PyTorch or TensorFlow, including custom training loops, distributed training, and end-to-end model debugging.\n\nA track record of driving research independently - picking the metric, designing the experiment plan, and interpreting noisy results honestly.\n\nProduction ML sensibility - comfortable with inference engine (ONNX, OpenVINO, TensorRT), performance profiling, and porting models to real hardware.\n\nBonus points\nMLOps experience - experiment tracking, model and data versioning, reproducible training workflows (MLflow, DVC, or similar).\n\nML pipeline / workflow orchestration - Dagster or similar tooling for training, evaluation, and deployment pipelines.\n\nLLM, RAG, or agentic AI experience - fine-tuning (LoRA/PEFT), retrieval pipelines (vector stores, rerankers), agent frameworks (LangChain or similar), or vision-language models.\n\nOur engineering culture\nSmall team, high ownership, fast feedback from customers - and the operational rigor to make that velocity sustainable. Modern AI tooling - LLMs, coding agents, agent-driven workflows - is a normal part of how we work, and you're encouraged to push on what these tools can do.\n============================\nInterview Process\nOnline (Google Meet)\nEngineer / Team Lead Interview (0.5 - 1 hr)\n\nOnsite\nTechnical Interview (2.5 hrs)\n\nCEO & VP Interview (1.5 hrs)\n\nPeer Interview (0.5 hr)\n\nHR Interview (0.5 hr)","description_format":"text","description_chars":2899,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"Taiwan","iso":"TW","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-10-15T03:47:51Z"}],"visa":[],"liveness":{"score":12,"band":"cold","label":"Long shot","p_open":1,"p_active":0.435,"p_room":0.28,"age_days":77,"expected_fill_days":24,"reasons":["conf:3","win:tail","crowd:"],"computed_at":"2026-10-16T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/berry-ai-senior-machine-learning-engineer","json_url":"https://alion.io/job/berry-ai-senior-machine-learning-engineer.json","meta":{"generated_at":"2026-10-16T06:06:08Z","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":3479,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-17T00:00:00Z"}},"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":2593136},"rest":"https://alion.io/mcp/rest/get_company?id=2593136"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fberry-ai-senior-machine-learning-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%2Fberry-ai-senior-machine-learning-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%2Fberry-ai-senior-machine-learning-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/berry-ai-senior-machine-learning-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fberry-ai-senior-machine-learning-engineer"}]}