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Day 3
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From 5,460 similar postings that came down. Coming down is not always a hire.
Principal Machine Learning Research Scientist
Reads like an ML Engineer role: training models and running them in production.
Jerusalem, Jerusalem, Israel
Actively hiring, first seen by us 3 days ago- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting
What you’ll work on
Full postingInvestigate new methods such as LLM reasoning, causal ML, digital twins and uncertainty quantification
Translate research prototypes into reference implementations for priority R&D use cases
Develop and lead research collaborations with academic and external scientific partners
Contribute to publications and conference presentations
Work with IT and engineering teams when methods move toward wider implementation
From the employer’s posting
You will investigate emerging methods in areas such as large language model reasoning and planning, multimodal representation learning, causal machine learning, digital twins, uncertainty quantification
translate promising research into reference implementations and demonstrable capabilities for priority R&D use cases
You will develop and lead research collaborations with academic institutions and external scientific partners
You will contribute to publications, conference presentations, and other scientific outputs
You will work in close partnership with IT, platform, and engineering teams when research methods progress toward broader implementation
What you’ll bring
All qualificationsCore experience
- You have experience developing, implementing, and rigorously evaluating novel machine learning methods rather than relying exclusively on existing libraries or commercial AI services.
- You are proficient in Python and modern machine learning frameworks such as PyTorch, JAX, TensorFlow, or equivalent technologies.
- You have experience designing reproducible computational experiments, establishing appropriate baselines, conducting ablation studies, and evaluating methods using scientifically rigorous benchmarks.
- You have experience translating research prototypes into reference implementations that can be adopted or further developed by applied AI and software engineering teams.
- You have experience initiating or contributing to collaborations involving academic researchers, industry scientists, and multidisciplinary technical teams.
- Experience in pharmaceutical R&D, healthcare, life sciences, or another regulated scientific environment is considered an advantage.
Qualification wording
You have experience developing, implementing, and rigorously evaluating novel machine learning methods rather than relying exclusively on existing libraries or commercial AI services.
You are proficient in Python and modern machine learning frameworks such as PyTorch, JAX, TensorFlow, or equivalent technologies.
You have experience designing reproducible computational experiments, establishing appropriate baselines, conducting ablation studies, and evaluating methods using scientifically rigorous benchmarks.
You have experience translating research prototypes into reference implementations that can be adopted or further developed by applied AI and software engineering teams.
You have experience initiating or contributing to collaborations involving academic researchers, industry scientists, and multidisciplinary technical teams.
Experience in pharmaceutical R&D, healthcare, life sciences, or another regulated scientific environment is considered an advantage.
Education & alternatives
Who you are: - You hold a PhD in machine learning, artificial intelligence, computer science, statistics, applied mathematics, biomedical engineering, or a related quantitative discipline. - You have a minimum of 5 years of professional or research experience with a strong research track record in machine learning, demonstrated through high-quality peer-reviewed publications, including contributions to leading conferences such as NeurIPS, ICLR, ICML, or comparable venues. Patents, open-source software, and other high-impact scientific outputs are also valued.
Posting record
Report an errorActively hiringFirst seen by us 3 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 10, 20263 days ago
- Recorded sightings
- 4
- Last seen by us
- Nov 13, 2026
- Employer says posted
- Nov 2, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Emdgroup is hiring
30 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordSee how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- PyTorch
- TensorFlow
Where the posting names them
- You have experience developing, implementing, and rigorously evaluating novel machine learning methods rather than relying exclusively on existing libraries or commercial AI services. - You are proficient in Python and modern machine learning frameworks such as PyTorch, JAX, TensorFlow, or equivalent technologies. - You have experience designing reproducible computational experiments, establishing appropriate baselines, conducting ablation studies, and evaluating methods using scientifically rigorous benchmarks.
Your next step
Complete your application on careers.emdgroup.com. The employer’s form will show what is required.
Applying through Phenom
- Phenom runs the employer’s careers site, but the application itself usually runs on another system, often Workday or Taleo. The advice for that system applies once you click Apply.
Already applied? Track this application
Demand for ML Engineer roles
New ML Engineer postings at the employers we follow are up 10% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
US government figures for computer and information research scientists
- Median yearly pay, May 2025
- $140,300
- Expected change, 2025 to 2035
- 21.8% more jobsagainst 3.5% for all jobs
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
Job description
Work Your Magic with us!
Ready to explore, break barriers, and discover more? We know you’ve got big plans – so do we! Our colleagues across the globe love innovating with science and technology to enrich people’s lives with our solutions in Healthcare, Life Science, and Electronics. Together, we dream big and are passionate about caring for our rich mix of people, customers, patients, and planet. That's why we are always looking for curious minds that see themselves imagining the unimaginable with us.
United As One for Patients, our purpose in Healthcare is to help create, improve and prolong lives. We develop medicines, intelligent devices and innovative technologies in therapeutic areas such as Oncology, Neurology and Fertility. Our teams work together across 6 continents with passion and relentless curiosity in order to help patients at every stage of life. Joining our Healthcare team is becoming part of a diverse, inclusive and flexible working culture, presenting great opportunities for personal development and career advancement across the globe.
Your role:
In this role, you will advance the methodological capabilities of the Advanced Data Science team within the Data Sciences organization. You will conduct applied machine learning research that extends beyond standard off-the-shelf approaches and creates new capabilities for high-value scientific and decision-making workflows across pharmaceutical Research & Development.
You will investigate emerging methods in areas such as large language model reasoning and planning, multimodal representation learning, causal machine learning, digital twins, uncertainty quantification, sequential decision-making, and learning from expert feedback. Your research will address limitations of current AI methods and develop innovative approaches for integrating heterogeneous evidence, modelling complex biological and clinical systems, and supporting decisions under uncertainty.
Working closely with Applied AI Engineers, machine learning experts, software engineers, scientists, and business stakeholders, you will translate promising research into reference implementations and demonstrable capabilities for priority R&D use cases. You will ensure that methodological innovation remains connected to real scientific problems and can progressively be transferred into robust AI-enabled applications.
You will develop and lead research collaborations with academic institutions and external scientific partners, identifying complementary expertise and shaping joint research programs. You will contribute to publications, conference presentations, and other scientific outputs that strengthen the external visibility of the team while supporting the development of differentiated AI capabilities within the organization.
You will work in close partnership with IT, platform, and engineering teams when research methods progress toward broader implementation. Your role will focus on methodological innovation, scientific validation, and translation into use cases, complementing IT ownership of enterprise platforms, infrastructure, cybersecurity, and production operations.
Staying at the forefront of machine learning and artificial intelligence research, you will critically evaluate new methods, reproduce relevant scientific advances, and identify opportunities where new research can create meaningful and measurable impact for pharmaceutical R&D.
Location: Israel
Who you are:
- You hold a PhD in machine learning, artificial intelligence, computer science, statistics, applied mathematics, biomedical engineering, or a related quantitative discipline.
- You have a minimum of 5 years of professional or research experience with a strong research track record in machine learning, demonstrated through high-quality peer-reviewed publications, including contributions to leading conferences such as NeurIPS, ICLR, ICML, or comparable venues. Patents, open-source software, and other high-impact scientific outputs are also valued.
- You possess deep expertise in one or more areas such as foundation models, large language model reasoning, multimodal learning, causal machine learning, digital twins, probabilistic modelling, uncertainty quantification, or sequential decision-making.
- You have experience developing, implementing, and rigorously evaluating novel machine learning methods rather than relying exclusively on existing libraries or commercial AI services.
- You are proficient in Python and modern machine learning frameworks such as PyTorch, JAX, TensorFlow, or equivalent technologies.
- You have experience designing reproducible computational experiments, establishing appropriate baselines, conducting ablation studies, and evaluating methods using scientifically rigorous benchmarks.
- You are able to identify limitations in current state-of-the-art methods and formulate tractable research questions that are relevant to real-world scientific problems.
- You have experience translating research prototypes into reference implementations that can be adopted or further developed by applied AI and software engineering teams.
- You are comfortable working with complex, heterogeneous, and potentially multimodal data, such as clinical, molecular, imaging, real-world, digital health, or scientific data.
- You have experience initiating or contributing to collaborations involving academic researchers, industry scientists, and multidisciplinary technical teams.
- You possess strong scientific communication and writing skills and can communicate methodological concepts clearly to both specialist and non-specialist audiences.
- You combine scientific ambition with a strong interest in translating methodological innovation into practical value.
- Experience in pharmaceutical R&D, healthcare, life sciences, or another regulated scientific environment is considered an advantage.
What we offer: We are curious minds that come from a broad range of backgrounds, perspectives, and life experiences. We believe that this variety drives excellence and innovation, strengthening our ability to lead in science and technology. We are committed to creating access and opportunities for all to develop and grow at your own pace. Join us in building a culture of inclusion and belonging that impacts millions and empowers everyone to work their magic and champion human progress!
Apply now and become a part of a team that is dedicated to Sparking Discovery and Elevating Humanity!
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- Pay
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- Location & working pattern
Jerusalem, Jerusalem, Israel
Working pattern and location restrictions need checking in the full posting.
- Work authorization
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