{"id":994274,"url":"https://alion.io/job/elgato-aiml-engineering-manager","title":"AI/ML Engineering Manager","company":{"id":714844,"name":"Elgato","domain":"elgato.com","url":"https://alion.io/company/elgato-2","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"B","score":80,"open_postings":25,"ghost_share":0,"stale_share":0.6,"repost_share":0,"time_to_fill_p50_days":64,"computed_at":"2026-10-17T05:46:00Z"}},"role":"Leadership","role_family":"Leadership","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Milpitas, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":170000,"max":210000,"currency":"USD","period":"year","gross":null,"usd_annual":210000},"salary_estimate":null,"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"AWS Step Functions","optional":false},{"name":"AWS Strands Agents","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"CrewAI","optional":false},{"name":"Dagster","optional":false},{"name":"dbt","optional":false},{"name":"Docker","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Function Calling","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"Kubernetes","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM","optional":false},{"name":"LoRA","optional":false},{"name":"Microsoft Fabric","optional":false},{"name":"MLFlow","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"PEFT","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Tool Use","optional":false},{"name":"Weights & Biases","optional":false},{"name":"Transformers","optional":true}],"status":"live","first_seen_at":"2026-06-22T17:18:35Z","employer_posted_date":"2026-06-22","last_verified_at":"2026-10-18T00:41:39Z","board_verified":true,"closed_at":null,"days_open":117,"trust":{"level":"ok","repost_count":0,"flags":[],"days_open":116},"description":"ABOUT THIS ROLE\nCORSAIR is building a production-grade AI/ML capability spanning intelligent automation, agentic systems, predictive analytics, and data engineering. As AI/ML Engineering Manager, you will lead a team while staying hands-on as a technical contributor. You will architect and build AI/ML systems that directly affect how the business operates, engage stakeholders across functions to surface automation opportunities, and own the full AI/ML lifecycle end-to-end\nWHAT YOU WILL DO\nTechnical Leadership (40%)\nLead and manage a team of engineers and contractors across multiple AI/ML and automation workstreams; own delivery standards, architecture quality, and team development \nArchitect agentic AI systems end to end: multi-agent orchestration, tool use, memory management, human-in-the-loop controls, and evaluation frameworks \nOwn the AI/ML technical roadmap; evaluate build vs. buy tradeoffs and align with VP-level stakeholders \nEngage business stakeholders across functions to map workflows, identify automation opportunities, and translate operational requirements into AI-driven solutions \nIndividual Contribution (60%)\nDesign and ship production-grade agentic AI systems using modern LLM orchestration frameworks; own orchestration logic, state management, and output evaluation \nBuild durable, fault-tolerant automation pipelines using workflow orchestration tools such as Temporal; design for reliability, retry logic, and long-running distributed tasks \nDevelop and deploy predictive ML models; own the full lifecycle from feature engineering through production monitoring \nImplement RAG systems, vector retrieval pipelines, and prompt engineering strategies at scale; apply LLM fine-tuning when it delivers better ROI than retrieval or prompting \nBuild and maintain data engineering pipelines (dbt, Dagster, Spark, Microsoft Fabric); diagnose data quality issues that affect AI system reliability \nOwn MLOps infrastructure: experiment tracking, model versioning, retraining pipelines, and drift detection \nWHAT YOU BRING\nRequired\n6+ years in AI/ML engineering or applied data science, with at least 1-2 years in a technical lead role \nProven experience designing and deploying agentic AI systems in production: orchestration, tool use, memory, and evaluation \nStrong Python and SQL; hands-on with LLM frameworks (LangChain, LangGraph, CrewAI, Strands, or equivalent) and cloud AI platforms (AWS Bedrock, Azure AI Foundry, or Microsoft Fabric) \nExperience with durable workflow orchestration tools such as Temporal, Airflow, or Step Functions \nSolid ML fundamentals and end-to-end pipeline ownership; experience with data engineering tooling (dbt, Dagster, Spark) \nDemonstrated ability to lead engineers technically and communicate tradeoffs to VP-level stakeholders \nPreferred\nExperience in gaming, consumer electronics, or hardware/peripherals \nFamiliarity with LLM fine-tuning (LoRA, PEFT), vector databases, generative AI for images, or MLOps tooling (MLflow, W&B) \nExposure to Docker, Kubernetes, and CI/CD pipelines for ML workloads \nExperience working cross-functionally with Product, Finance, Legal, and Operations stakeholders \nFor roles that are based at our headquarters in Milpitas, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future.\nAnnual Salary Range $170,000-$210,000 USD","description_format":"text","description_chars":3665,"description_truncated":false,"requirements":{"experience_years_min":6,"management_years_min":1,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Computer Peripherals"],"lifecycle":[{"event":"open","at":"2026-09-17T06:27:27Z"}],"visa":[],"liveness":{"score":16,"band":"cold","label":"Long shot","p_open":1,"p_active":0.438,"p_room":0.36,"age_days":116,"expected_fill_days":64,"reasons":["conf:9","stale_co","velocity","win:tail","crowd:"],"computed_at":"2026-10-17T05:46:00Z"},"pay":{"stated_usd_annual":210000,"is_top_pay":true},"html_url":"https://alion.io/job/elgato-aiml-engineering-manager","json_url":"https://alion.io/job/elgato-aiml-engineering-manager.json","meta":{"generated_at":"2026-10-18T04:51:59Z","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":7332,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-19T00:00:00Z"}},"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":714844},"rest":"https://alion.io/mcp/rest/get_company?id=714844"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Felgato-aiml-engineering-manager"},{"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%2Felgato-aiml-engineering-manager"},{"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%2Felgato-aiml-engineering-manager"},{"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/elgato-aiml-engineering-manager\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Felgato-aiml-engineering-manager"}]}