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Research Translation Jobs (NOW HIRING)

Amentum

Research Scientist

Washington, DC · On-site

Research Translation: Translate complex algorithms and mathematical models (e.g., spectral estimation, beamforming) from research papers into efficient, well-documented code. * Performance ...

The Pennsylvania State University

POSITION SPECIFICS The Research Translation Platform invites applications for a Postdoctoral Scholar interested in a career at the research-policy nexus supporting the evaluation and analytic needs ...

Pae

Research Scientist

Washington, DC

Research Translation:Translate complex algorithms and mathematical models (e.g., spectral estimation, beamforming) from research papers into efficient, well-documented code. * Performance ...

Cedars Sinai

Research Intern

Los Angeles, CA · On-site

Gain an understanding of translational research approaches in prostate cancer. * Learn how molecular profiling and biomarkers contribute to clinical decision-making. * Develop skills in research ...

Cedars Sinai

Research Intern

Los Angeles, CA

Gain an understanding of translational research approaches in prostate cancer. * Learn how molecular profiling and biomarkers contribute to clinical decision-making. * Develop skills in research ...

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$37K

$106K

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How much do research translation jobs pay per year?

As of Aug 5, 2026, the average yearly pay for research translation in the United States is $106,012.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,000.00 and $104,000.00 per year, depending on experience, location, and employer.

What are typical challenges someone might encounter in a research translation role?

One common challenge in Research Translation is communicating technical or scientific information in a way that is accessible and actionable for non-expert audiences, such as policymakers, clinicians, or industry partners. Professionals in this field often need to manage expectations and timelines while navigating regulatory, ethical, or funding constraints. Adapting research insights to fit diverse real-world settings also requires a flexible, collaborative mindset and the ability to build relationships across various sectors. Despite these challenges, the role is highly rewarding for those who enjoy seeing research make a direct impact outside the lab.

What is a research translation?

A Research Translation job involves bridging the gap between academic research and practical applications. Professionals in this role analyze complex research findings and translate them into accessible language for policymakers, businesses, or the general public. They may work in industries like healthcare, technology, or government, ensuring that research is effectively communicated and applied. This role often requires strong analytical, communication, and writing skills.

What are the key skills and qualifications needed to thrive in research translation, and why are they important?

To excel in Research Translation, you need a strong background in scientific research, analytical skills, and expertise in translating complex data into practical applications, usually supported by an advanced degree in science, public health, or a related field. Familiarity with data analysis software, literature databases, and project management systems is commonly required, and certifications in science communication or technology transfer may be beneficial. Strong communication, collaboration, and problem-solving skills help you work effectively across disciplines and with diverse stakeholders. These competencies are essential to bridge the gap between research findings and real-world implementation, ensuring innovations have tangible impact.

More about Research Translation jobs
What cities are hiring for Research Translation jobs? Cities with the most Research Translation job openings:
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Research Translation jobs near you
Infographic showing various Research Translation job openings in the United States as of July 2026, with employment types broken down into 56% Full Time, 11% Part Time, 22% Temporary, and 11% Contract. Highlights an 89% In-person, and 11% Remote job distribution, with an average salary of $106,012 per year, or $51 per hour.

Research Engineer (Machine Translation)

Sanas

Palo Alto, CA • On-site

Full-time

Re-posted 2 days ago

Job description

Sanas is pioneering the future of human communication. Founded by a team of Stanford researchers and entrepreneurs with deep industry experience, Sanas has developed the world's first real-time speech AI platform capable of accent translation, noise cancellation, speech enhancement, cross-language communication, and more.
Sanas makes conversations clearer, more inclusive, and more effective, removing barriers that prevent people from being understood, regardless of accent, background noise, or native language.
Sanas is currently one of the fastest growing startups in Silicon Valley, growing from $16M to $50M ARR in 2025. The company's core business is profitable and is on track to end 2026 with >$120M ARR. Our team combines deep expertise in model innovation and systems engineering with a design-minded product engineering culture to build and ship cutting-edge AI models and experiences - entirely in-house.
Sanas is a 130 person team, established in 2020. In this short span, we've successfully secured over $100 million in funding. Our innovation has been supported by the industry's leading investors, including Insight Partners, Google Ventures, Quadrille Capital, General Catalyst, Quiet Capital, and other influential investors. Our reputation is further solidified by collaborations with numerous Fortune 100 companies. With Sanas, you're not just adopting a product; you're investing in the future of communication.
If you're looking to have a significant role in roadmapping and driving technical directions, if you're looking to deploy challenging and big ideas without much overhead or slowness, if you're looking to leave your mark on an ambitious, generational mission to change how the worlds thinks about speech + AI, then Sanas is a well-suited place for you.
About the Role
Language Translation is one of Sanas's most exciting and fastest-growing product lines. We're looking for a Research Engineer who can both set technical direction and get deep in the modeling work - someone who owns translation quality end-to-end across language pairs and drives the fundamental research challenges unique to real-time simultaneous interpretation.
Job Description
Translation quality & modeling
  • Own and drive improvements to translation accuracy across Sanas's supported language pairs, with a focus on conversational, spoken-language domains.
  • Design, train, and evaluate neural MT models - from fine-tuning large multilingual models to building targeted components for low-resource or high-priority language pairs.
  • Develop and maintain rigorous evaluation pipelines using both automated metrics (BLEU, COMET, chrF) and human evaluation frameworks calibrated to real-world enterprise use cases.
  • Identify the highest-leverage research bets - data augmentation, domain adaptation, quality estimation, terminology consistency - and execute on them with measurable quality gains.

Simultaneous interpretation & delimiter modeling
  • Lead research and development of Sanas's delimiter model - the component that determines optimal segmentation points in streaming speech for real-time translation output.
  • Develop methods to handle speech disfluencies, sentence fragments, and incomplete utterances gracefully in a streaming translation pipeline.
  • Collaborate closely with the speech and inference engineering teams to ensure translation components meet strict real-time latency budgets in production.

Research direction & technical leadership
  • Define and maintain a research roadmap for MT and simultaneous interpretation, prioritizing work that moves production quality metrics.
  • Stay at the frontier of MT research - track and evaluate relevant work - and translate (haha) relevant advances into practical improvements at Sanas.
  • Mentor and technically guide other engineers working on translation-adjacent problems across the ML org.

Data & infrastructure
  • Identify, source, and curate training data for MT and delimiter modeling - including parallel corpora, synthetic data generation, and speech-aware augmentation strategies.
  • Instrument model quality monitoring in production to detect degradation across language pairs and trigger targeted retraining cycles.

Qualifications
  • 3+ years of experience in machine translation, NLP, or multilingual modeling research - with a track record of measurable quality improvements in production systems.
  • Deep familiarity with neural MT architectures: sequence-to-sequence models, Transformer variants, and large multilingual models.
  • Hands-on experience with simultaneous or streaming translation, including segmentation and low-latency decoding strategies.
  • Strong command of MT evaluation methodology - automated metrics, human evaluation design, and error analysis.
  • Proficiency in Python and deep learning frameworks (PyTorch preferred)
  • Demonstrated ability to set a research agenda, execute independently, and communicate findings clearly to technical and non-technical stakeholders.
  • Fluency in English plus working proficiency in at least one non-English language is a strong plus.

Bonus
  • Experience with speech translation (end-to-end or cascaded) and speech-aware MT pipelines.
  • Familiarity with on-device or edge-optimized model deployment for low-latency inference.
  • Prior work on low-resource language pairs, domain adaptation, or terminology-constrained translation.
  • Published research at ACL, EMNLP, NAACL, INTERSPEECH, or equivalent venues.

Apply