{"id":861956,"url":"https://alion.io/job/beamup-applied-aiml-scientist","title":"Applied AI/ML Scientist","company":{"id":670152,"name":"beamup.com","domain":"beamup.com","url":"https://alion.io/company/beamup","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":75,"open_postings":4,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-06T05:45:30Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Tel Aviv, Israel"],"countries":["IL"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Anomaly Detection","optional":false},{"name":"Anthropic","optional":false},{"name":"AutoGen","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"Function Calling","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"OpenAI","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"Tool Use","optional":false},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"CI/CD","optional":true},{"name":"Docker","optional":true},{"name":"GCP","optional":true},{"name":"Kubernetes","optional":true}],"status":"live","first_seen_at":"2026-06-08T09:33:08Z","employer_posted_date":"2026-06-08","last_verified_at":"2026-10-07T01:19:22Z","board_verified":true,"closed_at":null,"days_open":120,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":119},"description":"About Us\n Beamup helps enterprises move beyond dashboards, alerts, and manual triage to automated supply chain execution.\nOur AI platform supports large, complex retail and manufacturing networks by deploying specialized AI agents that operate continuously across stores, distribution centers, warehouses, and in-transit operations. These agents detect execution issues, identify root causes, and execute corrective actions - either autonomously or by routing work to the right teams.\nRetailers and manufacturers rely on Beamup to replace reactive workflows with consistent, scalable execution - reducing losses, improving performance, and operating with greater confidence at global scale.\nOur Mission\n To redefine supply chain intelligence by building AI agents that predict, prevent, and resolve inventory health and operational issues in real time.\nJob Summary:\nWe are looking for an experienced Applied AI/ML Scientist with expertise in building agentic systems and autonomous agents to join one of our R&D. You will be at the core of transforming our supply chain solutions into a fully agentic platform, designing and building agents that autonomously generate analytical pipelines, orchestrate multi-step reasoning, and resolve complex logistics challenges for our customers. You will combine strong machine learning and deep learning expertise with the ability to architect and implement production-grade agentic systems, working closely with engineering, product, and domain experts to push the boundaries of what autonomous AI can do in supply chain.\nResponsibilities:\nDesign and build autonomous agentic systems that generate, configure, and execute analytical pipelines to solve supply chain challenges end-to-end\nArchitect multi-agent workflows with planning, tool use, memory, and feedback loops, enabling agents to reason, adapt, and improve over time\nDevelop and integrate ML and deep learning models (e.g., predictive models, anomaly detection, demand forecasting) as core capabilities within agentic pipelines\nResearch and apply state-of-the-art techniques in agentic AI, LLM orchestration, and multi-agent systems to production use cases\nTranslate complex logistics and supply chain challenges into agent-based problem formulations, collaborating closely with product and domain experts\nDefine and implement rigorous evaluation frameworks for agent performance: correctness, reliability, robustness, and edge-case handling\nCollaborate with software engineers to productize agentic solutions - including testing, monitoring, versioning, and iterative improvement\nContribute to team practices: reproducible code, experiment tracking, documentation, and knowledge sharing\nRequirements:\n4+ years of experience in applied data science or ML in a product environment, with demonstrated experience building agentic systems or autonomous agents\nMSc in Computer Science, Data Science, Mathematics, Statistics, Engineering, or a related field (or equivalent practical experience)\nProven track record designing and implementing multi-step agentic pipelines, including LLM-based agents, tool use, planning loops, and memory mechanisms\nHands-on experience with agentic frameworks such as LangChain, LangGraph, AutoGen, or equivalent\nStrong Python coding skills; familiar with Spark for large-scale, distributed data processing\nExperience with LLM APIs (e.g., OpenAI, Anthropic, Bedrock, open-source models) and prompt engineering for agentic use cases\nExperience performing rigorous model evaluation (baselines, cross-validation, error analysis) and defining evaluation strategies for agent behavior\nStrong communication and collaboration skills; able to work across engineering, product, and supply chain domain experts and iterate fast\nNice to Have (Advantages)\nExperience with multi-agent architectures, agent-to-agent communication protocols, and agent orchestration at scale\nExperience with cloud platforms (AWS, GCP, Azure) and MLOps practices (CI/CD for ML, model monitoring, drift detection)\nFamiliarity with containerization and production engineering practices (Docker, Kubernetes)\nBeamup is proud to be an equal opportunity employer and provides equal employment opportunities (EEO) to all employees and applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or genetics.\nYou can read more about us at:\nhttps://www.beamup.ai/\nAnd we were also chosen to be one of the 50 most promising Israeli startups of 2023:\nhttps://www.calcalistech.com/ctechnews/article/hjtwkugx2","description_format":"text","description_chars":4574,"description_truncated":false,"requirements":{"experience_years_min":4,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-09-13T10:36:37Z"}],"visa":[],"liveness":{"score":5,"band":"cold","label":"Long shot","p_open":1,"p_active":0.183,"p_room":0.28,"age_days":119,"expected_fill_days":28,"reasons":["conf:1","win:tail","crowd:"],"computed_at":"2026-10-06T05:45:30Z"},"pay":null,"html_url":"https://alion.io/job/beamup-applied-aiml-scientist","json_url":"https://alion.io/job/beamup-applied-aiml-scientist.json","meta":{"generated_at":"2026-10-07T02:49:47Z","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","counted_by":"address","units_charged":1,"used_today":4333,"day_limit":5000,"remaining_today":667,"minute_limit":60,"resets_at":"2026-10-08T00:00:00Z"}},"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":670152},"rest":"https://alion.io/mcp/rest/get_company?id=670152"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fbeamup-applied-aiml-scientist"},{"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%2Fbeamup-applied-aiml-scientist"},{"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%2Fbeamup-applied-aiml-scientist"},{"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/beamup-applied-aiml-scientist\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fbeamup-applied-aiml-scientist"}]}