{"id":2540720,"url":"https://alion.io/job/social-discovery-group-senior-ml-engineer","title":"Senior ML Engineer","company":{"id":691783,"name":"Social Discovery Group","domain":"socialdiscoverygroup.com","url":"https://alion.io/company/socialdiscoverygroup","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Breezy","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":{"label":"CET","utc_offset_min":1,"utc_offset_max":1},"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":["US","JP","RS"],"hiring_countries_total":3,"salary":null,"salary_estimate":{"min_usd":50000,"max_usd":128000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2102},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"CUDA","optional":false},{"name":"CUDA Toolkit","optional":false},{"name":"Docker","optional":false},{"name":"DPO","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Function Calling","optional":false},{"name":"Git","optional":false},{"name":"GRPO","optional":false},{"name":"Linux","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"LoRA","optional":false},{"name":"Machine Learning","optional":false},{"name":"PEFT","optional":false},{"name":"Post-training","optional":false},{"name":"Python","optional":false},{"name":"QLoRA","optional":false},{"name":"Quantization","optional":false},{"name":"SFT","optional":false},{"name":"Structured Outputs","optional":false},{"name":"Synthetic Data","optional":false},{"name":"Tool Use","optional":false},{"name":"Computer Vision","optional":true},{"name":"DeepSpeed","optional":true},{"name":"FSDP","optional":true},{"name":"Multimodal AI","optional":true},{"name":"SGLang","optional":true},{"name":"TGI","optional":true},{"name":"Transformers","optional":true},{"name":"vLLM","optional":true},{"name":"Wi-Fi","optional":true}],"status":"live","first_seen_at":"2026-10-14T12:58:53Z","employer_posted_date":"2026-10-14","last_verified_at":"2026-10-19T11:20:01Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"Social Discovery Group (SDG) is a group of social discovery companies. SDG solves the problems of loneliness, isolation, and disconnection - transforming virtual intimacy into the new normal. SDG’s products redefine the way people interact and connect with one another.\nOur portfolio includes social entertainment platforms designed to connect people online across different cultures and regions of the world.\nWe bring together a team of like-minded people and IT professionals who specialize in creating and developing globally impactful social discovery products. Our international team of digital nomads works remotely from all over the world.\nWe’re proud to be a two-time “Great Place to Work” winner (USA & Japan, 2024-2025) and a Top-5 Company for Work-From-Anywhere Jobs (FlexJobs, 2025).\nWe are looking for Machine Learning Engineer.\nYour main tasks will be:\nSet the ML direction: choose which strategic bets to make and tie each one to clear business needs.\nDrive LLM post-training and model adaptation end to end, from dataset construction to fine-tuning and preference optimization.\nDesign and build agent harnesses and tool-using LLM systems.\nShape multi-agent development workflows that make the team faster and more effective.\nBuild evaluation frameworks and LLM-as-a-judge systems that reliably predict real-world performance.\nImprove dialogue quality across memory, emotional intelligence, persona consistency, safety and anti-loop behavior.\nShip production systems that directly shape user experience, retention and monetization.\nWe expect from you:\nPython expert level: clean code, typing, async, multiprocessing, profiling, debugging, notebooks + production code.Trainsformers.\nTraining and fine-tuning LLMs.\nSFT, LoRA/QLoRA, PEFT.\nPreference optimization: DPO / ORPO / SimPO / CPO / GRPO or willingness to quickly go deep.\nBuilding datasets for LLM training: cleaning, filtering, deduplication, preference pairs, synthetic data, hard negative mining.\nLLM evaluation: offline evals, pairwise evals, LLM judges, human annotation.\nAgent harness design: tool calling, function calling, structured outputs, retries, routing, state management, memory/context, guardrails.\nProduction LLM integration: APIs, streaming, batching, fallbacks, cost/latency trade-offs.\nObservability for agents: traces, tool-call logs, transcript analysis, failure clustering.\nStrong understanding of transformer architecture and modern LLM behavior.\nAccuracy with dtype/device/batching: fp32/fp16/bf16, quantization, CUDA memory, avoiding dtype mismatch bugs.\nGit, Docker, Linux, basic MLOps.\nFluent Russian, ready to work in CET (±2) hours.\nNice to have: experience beyond text (computer vision, image generation, multimodal), long-running conversations and character consistency, vLLM / TGI / SGLang, DeepSpeed / FSDP / Accelerate, quantization, safety classifiers.\nWhat do we offer:\nREMOTE OPPORTUNITY to work full-time;\nThe initial pay level orpay range for this role will be shared with candidates during the recruitment process and before the commencement of employment;\nVacation 28 calendar days per year;\n7 wellness days per year (time off) that can be used to deal with household issues, to lie down and recover without taking sick leave;\nBonuses up to $5000 for recommending successful applicants for positions in the company;\n50%payment for professional training, international conferences, and meetings;\nCorporate discount for English lessons;\nHealth benefits. According to the paychecks, if you are not eligible for corporate medical insurance, the company will compensate you with up to $ 1,000 gross per year per employee. This can be spent on self-purchase of health insurance or on doctor’s fees for yourself and close relatives (spouse, children);\nWorkplace organization. The company provides all employees with an equipped workplace and all the necessary equipment (table, armchair, wifi, etc.) in our offices or co-working locations. In the other locations, the company provides reimbursement of workplace costs up to $ 1000 gross once every 3 years, according to the paychecks. This money can be spent on the rent of the co-working room, on equipping the working place at home (desk, chair, Internet, etc.) during those 3 years;\nInternal gamified gratitude system: receive bonuses from colleagues and exchange them for our merchandise, team building activities, massage certificates, etc. \nSounds good? Join us now!","description_format":"text","description_chars":4428,"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":[{"language":"Russian","level":"Advanced (C1)","optional":true}]},"benefits":["Health insurance"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"},{"name":"Japan","iso":"JP","kind":"country"},{"name":"Serbia","iso":"RS","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Dating & Relationships","Investment Holding Companies"],"lifecycle":[{"event":"open","at":"2026-10-14T15:29:36Z"}],"visa":[],"liveness":{"score":98,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.979,"p_room":1,"age_days":4,"expected_fill_days":22,"reasons":["conf:2","urgency","velocity","win:early"],"computed_at":"2026-10-19T05:45:15Z"},"pay":null,"html_url":"https://alion.io/job/social-discovery-group-senior-ml-engineer","json_url":"https://alion.io/job/social-discovery-group-senior-ml-engineer.json","meta":{"generated_at":"2026-10-19T11:59:28Z","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":8605,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-20T00:00:00Z"}},"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":691783},"rest":"https://alion.io/mcp/rest/get_company?id=691783"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fsocial-discovery-group-senior-ml-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%2Fsocial-discovery-group-senior-ml-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%2Fsocial-discovery-group-senior-ml-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/social-discovery-group-senior-ml-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fsocial-discovery-group-senior-ml-engineer"}]}