{"id":915943,"url":"https://alion.io/job/phrase-senior-ai-research-engineer","title":"Senior AI Researcher","company":{"id":7968,"name":"Phrase","domain":"phrase.com","url":"https://alion.io/company/phrase","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Czech Republic"],"countries":["CZ"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":42000,"max_usd":110000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2365},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"Claude","optional":false},{"name":"DPO","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Function Calling","optional":false},{"name":"Gemini","optional":false},{"name":"LLM","optional":false},{"name":"LoRA","optional":false},{"name":"NLP","optional":false},{"name":"OpenAI","optional":false},{"name":"Pre-training","optional":false},{"name":"RLHF","optional":false},{"name":"Structured Outputs","optional":false},{"name":"Amazon SageMaker","optional":true},{"name":"AWS","optional":true},{"name":"Flyte","optional":true},{"name":"GCP","optional":true},{"name":"Hugging Face","optional":true},{"name":"Human-in-the-Loop","optional":true},{"name":"LangChain","optional":true},{"name":"LangGraph","optional":true},{"name":"Multi-Agent Systems","optional":true},{"name":"PEFT","optional":true},{"name":"Prefect","optional":true},{"name":"Pydantic AI","optional":true},{"name":"Python","optional":true},{"name":"PyTorch","optional":true},{"name":"Reinforcement Learning","optional":true},{"name":"TGI","optional":true},{"name":"Vertex AI","optional":true},{"name":"vLLM","optional":true},{"name":"Weights & Biases","optional":true}],"status":"live","first_seen_at":"2026-09-14T15:55:12Z","employer_posted_date":"2026-09-15","last_verified_at":"2026-11-04T01:34:24Z","board_verified":true,"closed_at":null,"days_open":50,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":50},"description":"Senior AI Researcher\nAt Phrase, we help open the door to global business by providing the world's leading Language Intelligence Platform.\nThe Phrase Platform combines AI, agentic orchestration, and a headless, API-first architecture in one composable system. Beyond translation, it orchestrates and adapts content to culture, audience, channel, brand voice, and intended outcome in any language, for every audience. It applies the context that makes content perform in every market: quality standards, glossaries, prior translations, and cultural nuance. Every team, in every region, can ship content that is on-brand, on-point, and ready for any audience.\nPhrase gives enterprises the intelligence to automate workflows, the freedom to connect their own tools and engines, and the control to govern global content at scale.\nWith a global team based in our offices, and remote colleagues across Europe, the UK, the US, and the APAC region, Phrase offers an international environment built on collaboration, innovation, and shared purpose.\nPhrase's AI Research team builds, trains, and evaluates the proprietary translation models and agentic workflows that power the platform's language quality - live systems serving production traffic, not proof-of-concept work. This role takes ownership of a significant research workstream within that portfolio, extending Phrase's live systems and shaping the direction of the team's wider research. You'll work across fine-tuning and instruction-tuning LLMs for domain-specific machine translation, designing evaluation frameworks that combine automatic metrics and LLM-as-judge approaches, and building agentic workflows for multi-step reasoning and tool use. It's built for someone with strong hands-on research experience who wants real scope to lead a body of work, mentor others, and grow their technical influence over time.\nWhat you'll be responsible for:\nDesign, train, and evaluate LLMs for translation and language-quality tasks, using fine-tuning techniques such as LoRA and DPO and instruction-tuned models.\nDesign and implement evaluation frameworks for translation quality, combining automatic metrics (BLEU, TER, ChrF, MQM, COMET), LLM-as-judge approaches, and hybrid pipelines.\nBuild and evaluate agentic workflows for NLP problems, spanning multi-step reasoning, tool use, and structured output generation.\nOwn a significant workstream within the team's model-development programme, from data and training through evaluation and production integration.\nDesign and run reproducible experiments, documenting results and decisions clearly.\nWork with Product, Engineering, and Solutions to turn research findings into shippable capabilities.\nBenchmark frontier models - OpenAI, Gemini, Claude, and open-source - against internal baselines.\nEvolve the team's quality-evaluation systems, including style-guide integration and customer-led, outcome-oriented metrics.\nShape decisions on active learning, feedback-loop design, and data-pipeline strategy for continuous model improvement.\nMentor junior researchers, review PRs and research write-ups, and contribute to reading groups and deep dives.\nContribute to hiring, including take-home review and technical interviews.\nRepresent your work in cross-functional forums with Product and Engineering.\nWhat you need:\nStrong hands-on experience fine-tuning LLMs or large transformer-based models; familiarity with pre-training and preference-tuning (RLHF/DPO) is desirable.\nSolid NLP background, with demonstrable expertise in at least one of: machine translation, MT evaluation, information extraction, text generation, search optimization, or reinforcement learning.\nAbility to design, build, and evaluate agentic systems, including tool-calling agents, multi-agent pipelines, or LLM-orchestrated workflows.\nExperience designing and running evaluation frameworks, including automatic metrics and human-in-the-loop evaluation design.\nStrong Python skills and experience with ML/NLP libraries such as Hugging Face or PyTorch.\nFamiliarity with workflow orchestration tools such as Flyte, Prefect, or Airflow (desirable).\nPhD in Computer Science, Computational Linguistics, or a related field, or an MSc with equivalent hands-on research or industry experience.\nIndustry experience with production NLP systems, including shipping models, handling data pipelines, and monitoring quality in live traffic (desirable).\nFamiliarity with the localization and MT domain, including MQM, COMET, post-editing workflows, segment-level quality signals, or TMS integrations (desirable).\nExperience with experiment tracking tools such as Weights & Biases, and model-serving or cloud ML infrastructure such as vLLM, TGI, AWS SageMaker, or GCP Vertex AI (desirable).\nExperience with frameworks for structured agentic pipelines such as PydanticAI or LangGraph (desirable).\nStrong publication record or open-source contributions in NLP/ML (desirable).\nProduct-minded, thinking about research in terms of what it enables and who it serves, not just whether the numbers went up.\nA natural driver who identifies open problems and moves work forward without waiting to be pushed.\nGrowth-oriented, motivated to expand technical scope and mentor others, with a path toward greater research leadership over time.\nOur current tech stack in this role:\nPython\nHugging Face\nPyTorch\nWeights & Biases\nPydanticAI\nLangGraph\nvLLM / TGI\nAWS SageMaker / GCP Vertex AI\nFlyte / Prefect / Airflow\nWhat you'll get:\n- Work experience in a successful and growing global SaaS company\n- Be part of an international team in Europe, APAC, and the Americas\n- Expert colleagues in their field who are determined to build the best localization platform on the market, creating a world where language never limits opportunity\n- An agile work environment, where it is encouraged to take smart risks\n- Take part in a culture full of trust, support and loyalty, where respectful and open feedback is valued, and diversity is fully embraced\n- A positive, open-minded, and innovative atmosphere\n- Support in your professional development and personal career goals\nWhat's on top:\n- 4 Company holidays additional to your regular holidays (1 day per quarter where the entire company is off to celebrate our achievements).\n- In addition, the company also provides employees with a Christmas break to allow you to spend time with family and friends without use of your vacation allocation.\n- Your birthday is off because it is important to celebrate you as well.\n- 2 Giveback days where you can support the local community, volunteer, and/or participate in charity events and activities.\n- Professional and extensive onboarding.\n- Enterprise Claude Licence\n- Additional local benefits depending on the entity you're hired at, just ask your Talent Acquisition Partner\nPhrase is committed to ensuring equal pay for equal work and work of equal value between women and men. Our aim is that our workforce will be truly representative of all sections of society and that each worker feels respected and able to give their best. The job requirements and salary range for this job have been established through a gender-neutral job evaluation and classification process. This process objectively assesses the skills, responsibility, effort and working conditions required for each job. This systematic approach ensures fair pay regardless of who performs the work. We welcome applications from all qualified candidates regardless of their sex, race or ethnicity, disability, religion/belief, sexual orientation, gender identity or age. We value and welcome different perspectives, experiences and backgrounds as we believe that these differences make our team even stronger on our mission of opening the door to global business by giving everybody access to the content they need in the language they speak.","description_format":"text","description_chars":7834,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Professional development"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Natural Language Processing","Workflow & Process Automation (RPA, BPM)","Translation Services"],"lifecycle":[{"event":"open","at":"2026-09-14T20:07:38Z"}],"visa":[],"liveness":{"score":32,"band":"fade","label":"Fading","p_open":1,"p_active":0.708,"p_room":0.45,"age_days":49,"expected_fill_days":31,"reasons":["conf:4","win:tail"],"computed_at":"2026-11-03T05:54:40Z"},"pay":null,"html_url":"https://alion.io/job/phrase-senior-ai-research-engineer","json_url":"https://alion.io/job/phrase-senior-ai-research-engineer.json","meta":{"generated_at":"2026-11-04T04:11:25Z","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":6525,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-05T00:00:00Z"}},"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":7968},"rest":"https://alion.io/mcp/rest/get_company?id=7968"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fphrase-senior-ai-research-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%2Fphrase-senior-ai-research-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%2Fphrase-senior-ai-research-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/phrase-senior-ai-research-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fphrase-senior-ai-research-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":915943}},{"tool":"search_jobs","arguments":{"company":"phrase.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":915943},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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