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AI Researcher

Memsource·Salary not specified

Primary stack

Machine LearningHugging FaceNLPPythonPyTorch

Nice to have's

MT evaluationinformation extractiontext generationsearchexperiment tracking toolsagentic-pipeline frameworkspublicationsopen-source contributions

Job description

About the Position

AI Researcher

At Phrase, we help open the door to global business by providing the world's leading Language Intelligence Platform. Our platform combines AI, agentic orchestration, and a headless, API-first architecture in one composable system. We orchestrate and adapt content to culture, audience, channel, brand voice, and intended outcome in any language, for every audience.

Join our AI Research team as a hands-on contributor, running experiments, fine-tuning models, and building evaluation pipelines alongside senior researchers. This role is ideal for someone earlier in their research career with strong fundamentals who wants to grow their depth in applied NLP and machine translation inside a team that ships research into production.

Location

Czech Republic

Employment Type

Full time

Department

Engineering

Responsibilities

  • Fine-tune and evaluate LLMs for translation and language-quality tasks, applying techniques such as LoRA, with support from senior researchers.
  • Build evaluation pipelines for translation quality, applying automatic metrics (BLEU, TER, ChrF, MQM, COMET) and LLM-as-judge approaches, and contribute to their design.
  • Build and evaluate agentic workflows spanning multi-step reasoning, tool use, and structured output generation.
  • Implement and evaluate components within the team's model-development programme, working to a defined scope.
  • Run reproducible experiments and document results and decisions clearly.
  • Work with Product, Engineering, and Solutions to turn research into shippable capabilities.
  • Benchmark frontier and open-source models against internal baselines.
  • Support the evolution of quality-evaluation systems, including style-guide integration.
  • Support data-pipeline and feedback-loop work for continuous model improvement.
  • Take part in reading groups, deep dives, and code and research reviews.
  • Share results early and build on the team's existing work.
  • Contribute to hiring tasks as you grow into the role.

Requirements

  • Solid grounding in machine learning and NLP, with hands-on experience fine-tuning or working with LLMs or transformer-based models.
  • Working knowledge of at least one relevant area: machine translation, MT evaluation, information extraction, text generation, or search.
  • Exposure to, or strong interest in, agentic or LLM-orchestrated systems (ability to build them from first principles is desirable, not required).
  • Experience running experiments and applying evaluation metrics, with awareness of both automatic and human-in-the-loop evaluation.
  • Solid Python skills and experience with ML/NLP libraries such as Hugging Face or PyTorch.
  • MSc in Computer Science, Computational Linguistics, or a related field, or a BSc with relevant experience, projects, or a strong portfolio.
  • A PhD is welcome but not required (desirable).
  • Internships, thesis work, or projects in NLP/MT, ideally with production or applied exposure (desirable).
  • Familiarity with localization or MT concepts such as MQM, COMET, post-editing, or TMS integrations (desirable).
  • Exposure to experiment tracking tools such as Weights & Biases, or agentic-pipeline frameworks such as PydanticAI or LangGraph (desirable).
  • Publications or open-source contributions in NLP-related topics (desirable).
  • Curious and coachable, with a habit of asking good questions and acting on feedback.
  • Comfortable sharing results early, inviting challenge, and building on others' work.

We Offer

  • 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.

About the Company

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.

© Memsource. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.

Founded in 2010, Memsource is a leading provider of cloud-based translation and translator productivity software. Headquartered in Prague, we serve customers in the Americas, Europe and Asia. Memsource Cloud is used around the world, by individual translators, as well as some of the world’s largest translation agencies and translation buyers. Approximately 200 million words are human-translated every month by our users, who are all professional translators.

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