{"id":2836093,"url":"https://alion.io/job/conviva-aiml-engineer","title":"AI/ML Engineer","company":{"id":673976,"name":"Conviva","domain":"conviva.ai","url":"https://alion.io/company/conviva","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Foster City, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":180000,"max":250000,"currency":"USD","period":"year","gross":null,"usd_annual":250000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"C++","optional":false},{"name":"Fine-tuning","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"PyTorch C++","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"TensorFlow","optional":false},{"name":"TensorFlow C++","optional":false},{"name":"Flink","optional":true},{"name":"Post-training","optional":true},{"name":"Pre-training","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-10-19T03:51:47Z","employer_posted_date":"2026-10-19","last_verified_at":"2026-10-20T05:36:28Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Conviva is the experience analytics platform for AI agents, apps, and streaming. Conviva pioneered quality of experience measurement for streaming video and has supported live digital experiences across 20 Super Bowls, 10 Olympic Games, and five FIFA World Cup tournaments. With full-census, real-time, stateful analytics, Conviva shows what consumers actually experience, not just whether systems are running, and connects that experience to revenue, retention, and risk.\nWe are looking for an AI/ML Engineer with strong machine learning fundamentals and hands-on experience in model development, training, and evaluation. In this role, you will work on challenging real-world problems across machine learning and AI, taking ideas from research and experimentation to practical solutions. You will own key parts of the ML development lifecycle, including data preparation, model design, training, evaluation, debugging, and iteration.\nWe are looking for someone who goes beyond implementing existing approaches-someone who can understand a problem deeply, evaluate alternative solutions, make informed technical decisions, and systematically investigate why a model succeeds or fails.\nYou will collaborate closely with engineering and product teams to explore new ML approaches, develop effective models, and build the tools and infrastructure needed to support scalable experimentation and deployment. We welcome candidates from both academic research and industry backgrounds, including recent PhD graduates with strong hands-on research experience and engineers who have demonstrated exceptional model development capabilities in industry.\nWhat Success Will Look Like: \nDesign, develop, train, and evaluate machine learning models to solve complex real-world problems.\nOwn the end-to-end ML development lifecycle, including dataset construction, model design, training, experimentation, evaluation, and continuous improvement.\nExplore and apply modern ML techniques, including deep learning, reinforcement learning, and LLM training or fine-tuning, as appropriate to the problem.\nDesign rigorous experiments, define meaningful evaluation metrics, establish baselines, and analyze model performance to guide technical decisions.\nTranslate research ideas into practical solutions through close collaboration with engineering and product teams.\nContribute to ML tooling, data pipelines, and infrastructure that support efficient experimentation and scalable model development.\nTake ownership of technical challenges, proactively investigate new approaches, and continuously improve model quality and reliability.\nCollaborate effectively in a small, highly technical team, sharing knowledge and contributing to engineering best practices.\nWho You Are & What You've Done\nPhD preferred in Computer Science, Machine Learning, Mathematics, Statistics, or a related quantitative field. Recent PhD graduates with strong research experience are encouraged to apply.\nStrong foundation in machine learning, deep learning, probability, statistics, algorithms, and data structures.\nHands-on experience developing and training ML models through academic research or industry projects.\nExperience with ML frameworks such as PyTorch or TensorFlow.\nSolid understanding of the ML development lifecycle, including data preparation, model training, experimental design, evaluation methodology, and error analysis.\nStrong programming skills in Python, C++, or another relevant programming language.\nAbility to independently investigate complex technical problems, design experiments, and communicate findings clearly.\nStrong problem-solving skills, intellectual curiosity, and a willingness to explore new techniques.\nGood English communication skills.\nNice to Have\nResearch publications at leading conferences such as NeurIPS, ICML, ICLR, ACL, EMNLP, or other relevant venues.\nExperience with reinforcement learning, deep learning, LLM fine-tuning, pre-training, or post-training techniques.\nExperience with large-scale model training, distributed training, or ML systems optimization.\nExperience deploying ML models into production or developing ML infrastructure, including model serving, monitoring, and MLOps.\nFamiliarity with large-scale data processing frameworks such as Spark or Flink.\nThe expected salary range for this full-time position is $180,000-$250,000 + equity + benefits. Actual level and compensation are determined by qualifications, professional background, and relevant experience.\nLearn more at conviva.ai and follow the company on LinkedIn and YouTube.","description_format":"text","description_chars":4558,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"phd","optional":false},"security_clearance":false,"languages":[{"language":"English","level":"Upper-Intermediate (B2)","optional":false}]},"benefits":["Equity"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["AI Evaluation & Observability","Media & Audience Measurement"],"lifecycle":[{"event":"open","at":"2026-10-19T06:25:45Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 5 · green card filings: 1","filings_12m":5,"filings_prev_12m":4,"green_card_filings_12m":1,"median_offered_wage_usd":222500,"route":null,"cap_exempt":false,"checked_at":"2026-10-15T11:24:14+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":3}],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":1,"expected_fill_days":65,"reasons":["conf:0","velocity","win:early"],"computed_at":"2026-10-20T05:45:00Z"},"pay":{"stated_usd_annual":250000,"is_top_pay":true},"html_url":"https://alion.io/job/conviva-aiml-engineer","json_url":"https://alion.io/job/conviva-aiml-engineer.json","meta":{"generated_at":"2026-10-20T08:06:35Z","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":8616,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-21T00:00:00Z"}},"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":673976},"rest":"https://alion.io/mcp/rest/get_company?id=673976"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fconviva-aiml-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%2Fconviva-aiml-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%2Fconviva-aiml-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/conviva-aiml-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fconviva-aiml-engineer"}]}