{"id":2891293,"url":"https://alion.io/job/solstice-ml-mts","title":"Member of Technical Staff (ML)","company":{"id":251703,"name":"Solstice","domain":"solstice.sg","url":"https://alion.io/company/solstice-3","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","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":"2026-10-25T05:49:26Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"staff","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["New York, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":200000,"max":350000,"currency":"USD","period":"year","gross":null,"usd_annual":350000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Fine-tuning","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Reranking","optional":false}],"status":"live","first_seen_at":"2026-10-20T02:28:18Z","employer_posted_date":"2026-10-20","last_verified_at":"2026-10-25T20:11:26Z","board_verified":true,"closed_at":null,"days_open":5,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":5},"description":"Why you should join us\nSolstice builds AI software that helps life sciences teams create, refine, and review pharmaceutical marketing content. We have worked with leading life sciences manufacturers and more than 50 pharma brands. Our backers include Transformation Capital, Twelve Below, Virtue, and the founders of Datavant, Commure, and Paradigm.\nThe technical problems are concrete: find the right evidence in complex scientific material, identify claims accurately, and improve generated content using reviewer feedback and real product outcomes. You will work with proprietary data and a team that can put your improvements in front of customers.\nAbout the role\nAs a Member of Technical Staff in Machine Learning, you will improve the models, representations, and data that power Solstice's AI agents for creating, refining, and reviewing pharmaceutical marketing content. Your work will help agents find supporting evidence, use tools accurately, and incorporate reviewer feedback into better outputs.\nYou will investigate failures across complete agent runs, form a testable hypothesis, implement a change, and establish whether it improves the customer's task. The intervention might be better training examples, a retrieval or ranking improvement, a different model or context strategy, or targeted fine-tuning. You will choose an approach based on evidence and test its quality, reliability, latency, and cost before taking it into production.\nYou will work directly with Applied AI engineers, who own the complete feature and workflow, and Fullstack AI engineers, who build the shared runtime, APIs, and product experiences. You will build prototypes and production components together, with primary responsibility for model and data improvements and the evidence that they generalize.\nWhat you'll be working on\nImprove model behavior inside agents. Diagnose failures in evidence selection, tool choice and arguments, and revisions based on feedback. Work with Applied AI to separate model or data limitations from missing context, tool failures, or workflow design problems.\n\nMake retrieval and grounding more accurate. Develop and compare retrieval, reranking, and claim-to-evidence matching approaches across scientific documents and approved content. Measure whether the evidence actually supports the claim and helps the agent complete the task.\n\nTurn agent runs and reviewer feedback into useful data. Build curated datasets from successful and failed runs, corrections, and targeted examples. Track provenance, resolve ambiguous labels, and keep held-out evaluation cases separate from training and tuning.\n\nImplement and test substantive improvements. Compare model choices, representations, context strategies, and learning methods with credible baselines and controlled experiments. Use targeted fine-tuning or other model adaptation when the available data and results justify it.\n\nMeasure complete-task outcomes. Evaluate intermediate tool behavior and the resulting artifact. Check repeated-run reliability and generalization to unfamiliar documents and task variants. Calibrate automated judgments against human review and track quality alongside latency and cost.\n\nShip improvements with the product team. Integrate changes into production Python services and agent workflows. Use versioned data and models, staged releases, quality monitoring and rollback criteria, then investigate whether offline gains hold up in use.\n\nWhat we're looking for\nStrong ML fundamentals and hands-on implementation skills. You can reason about learning objectives, optimization, regularization, data quality, and generalization.\n\nStrong Python and hands-on experience building or improving LLM systems, retrieval systems, or agents. You can inspect tool-call traces, reproduce failures, and implement the experiment or production change needed to investigate them.\n\nEvidence of taking a data or model improvement into production and understanding what happened after deployment.\n\nSound experimental judgment: explicit hypotheses, credible comparisons, meaningful baselines, and care with leakage, noisy labels, and misleading aggregate metrics.\n\nDepth in at least one relevant area, such as retrieval and ranking, representation learning, model adaptation, or learning from human feedback, with the ability to apply that depth to multi-step agent tasks.\n\nJudgment about the source of a failure. You can explain when to change the data or model, when to improve context or a tool interface, and how to design a comparison that distinguishes those explanations.\n\nPractical software engineering skills for reproducible experiments, tested components, production integration, and debugging.\n\nClear communication and personal ownership. You can explain the tradeoffs, work with product and engineering partners, and follow through when results challenge your assumptions.\n\nExperience with scientific documents, human review feedback, or regulated enterprise products is useful. Healthcare or pharma experience is welcome but not required. We value demonstrated implementation and experimental judgment; a particular degree, publication record, or framework is not a substitute for that evidence.\nBenefits\nHealth, dental, and vision insurance\n\nGround-floor equity opportunity\n\nVisa sponsorship for O-1, H-1B, and TN visas\n\nUnlimited PTO\n\n401(k) with a 4% company match\n\nIn-office lunches five days a week\n\nProfessional growth stipend\n\nRelocation support\n\nLocation and compensation\nNew York City. Full time. On-site.\nThe base salary range is $200,000 to $350,000, plus equity, depending on experience and scope of responsibility.","description_format":"text","description_chars":5631,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Equity","Unlimited PTO","Vision insurance"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":true,"industries":["Artificial Intelligence","Marketing & Sales AI","Pharma Marketing & Medical Communications"],"lifecycle":[{"event":"open","at":"2026-10-20T02:34:30Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.895,"p_room":1,"age_days":5,"expected_fill_days":31,"reasons":["conf:0","velocity","win:early","comp:attention"],"computed_at":"2026-10-25T05:49:26Z"},"pay":{"stated_usd_annual":350000,"is_top_pay":true},"html_url":"https://alion.io/job/solstice-ml-mts","json_url":"https://alion.io/job/solstice-ml-mts.json","meta":{"generated_at":"2026-10-25T21:43:46Z","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":30673,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-26T00:00:00Z"}},"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":251703},"rest":"https://alion.io/mcp/rest/get_company?id=251703"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fsolstice-ml-mts"},{"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%2Fsolstice-ml-mts"},{"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%2Fsolstice-ml-mts"},{"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/solstice-ml-mts\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fsolstice-ml-mts"}]}