Senior AI Researcher

Senior AI Researcher

At Phrase, we help open the door to global business by providing the world's leading Language Intelligence Platform.

The 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.

Phrase 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.

With 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.

Phrase'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.

What you'll be responsible for:

Design, train, and evaluate LLMs for translation and language-quality tasks, using fine-tuning techniques such as LoRA and DPO and instruction-tuned models.

Design and implement evaluation frameworks for translation quality, combining automatic metrics (BLEU, TER, ChrF, MQM, COMET), LLM-as-judge approaches, and hybrid pipelines.

Build and evaluate agentic workflows for NLP problems, spanning multi-step reasoning, tool use, and structured output generation.

Own a significant workstream within the team's model-development programme, from data and training through evaluation and production integration.

Design and run reproducible experiments, documenting results and decisions clearly.

Work with Product, Engineering, and Solutions to turn research findings into shippable capabilities.

Benchmark frontier models — OpenAI, Gemini, Claude, and open-source — against internal baselines.

Evolve the team's quality-evaluation systems, including style-guide integration and customer-led, outcome-oriented metrics.

Shape decisions on active learning, feedback-loop design, and data-pipeline strategy for continuous model improvement.

Mentor junior researchers, review PRs and research write-ups, and contribute to reading groups and deep dives.

Contribute to hiring, including take-home review and technical interviews.

Represent your work in cross-functional forums with Product and Engineering.

What you need:

Strong hands-on experience fine-tuning LLMs or large transformer-based models; familiarity with pre-training and preference-tuning (RLHF/DPO) is desirable.

Solid NLP background, with demonstrable expertise in at least one of: machine translation, MT evaluation, information extraction, text generation, search optimization, or reinforcement learning.

Ability to design, build, and evaluate agentic systems, including tool-calling agents, multi-agent pipelines, or LLM-orchestrated workflows.

Experience designing and running evaluation frameworks, including automatic metrics and human-in-the-loop evaluation design.

Strong Python skills and experience with ML/NLP libraries such as Hugging Face or PyTorch.

Familiarity with workflow orchestration tools such as Flyte, Prefect, or Airflow (desirable).

PhD in Computer Science, Computational Linguistics, or a related field, or an MSc with equivalent hands-on research or industry experience.

Industry experience with production NLP systems, including shipping models, handling data pipelines, and monitoring quality in live traffic (desirable).

Familiarity with the localization and MT domain, including MQM, COMET, post-editing workflows, segment-level quality signals, or TMS integrations (desirable).

Experience 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).

Experience with frameworks for structured agentic pipelines such as PydanticAI or LangGraph (desirable).

Strong publication record or open-source contributions in NLP/ML (desirable).

Product-minded, thinking about research in terms of what it enables and who it serves, not just whether the numbers went up.

A natural driver who identifies open problems and moves work forward without waiting to be pushed.

Growth-oriented, motivated to expand technical scope and mentor others, with a path toward greater research leadership over time.

Our current tech stack in this role:

Python

Hugging Face

PyTorch

Weights & Biases

PydanticAI

LangGraph

vLLM / TGI

AWS SageMaker / GCP Vertex AI

Flyte / Prefect / Airflow

What you'll get:

- Work experience in a successful and growing global SaaS company

- Be part of an international team in Europe, APAC, and the Americas

- 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

- An agile work environment, where it is encouraged to take smart risks

- Take part in a culture full of trust, support and loyalty, where respectful and open feedback is valued, and diversity is fully embraced

- A positive, open-minded, and innovative atmosphere

- Support in your professional development and personal career goals

What's on top:

- 4 Company holidays additional to your regular holidays (1 day per quarter where the entire company is off to celebrate our achievements).

- 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.

- Your birthday is off because it is important to celebrate you as well.

- 2 Giveback days where you can support the local community, volunteer, and/or participate in charity events and activities.

- Professional and extensive onboarding.

- Enterprise Claude Licence

- Additional local benefits depending on the entity you're hired at, just ask your Talent Acquisition Partner

Phrase 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.