CDD/CDI – Page 3 – M2 Apprentissage et Algorithmes (M2A)

December 22, 2022

Institute for AI in Medicine

My group Trustworthy Machine Learning at the Institute for AI in Medicine
is offering a position for a scientific software developer. This developer
will work closely with researchers to implement novel federated learning
approaches in order to conduct real-world medical studies. The developer
will take part in publications and has the opportunity to publish
themselves.
The position can be prolonged with the possibility of switching to a PhD
position.

The research group is located in at the Ruhr-University Bochum, Germany in
the vibrant Ruhr area. The Institute for AI in Medicine is a new,
fast-growing center for AI research in healthcare, directly connected to
the University Hospital Essen. The compensation is based on the TV-L E13
salary (see this link for 2021 salaries: https://t.ly/6hik)

Candidates should hold a Master’s degree in computer science, or related
fields, be an excellent Python programmer, and should have experience with
standard libraries for machine learning, as well as deployment and
scalability.

Interested candidates should send an application letter, cv, and
certificates to michael.kamp(at)uk-essen.de. The email subject should be
“Scientific Software Developer X”, where X = G(5) with G(0) = 0, G(1)=1,
and G(n) = G(n-1) + 2*G(n-2).

December 22, 2022

Insitro

December 22, 2022

Curai Health

Curai <https://www.karkidi.com/Employer-Profile/383-curai-health-jobs> is a
health tech company working on expanding healthcare access and delivering
the best possible care to everyone. We run a virtual primary care clinic,
and leverage AI and machine learning to help our doctors work more quickly
and effectively. Curai has a small but diverse team that includes senior
engineers, researchers, and leaders previously from companies like Google
and Netflix, colleges like Stanford and CMU.
Open Roles

Machine Learning Research Intern
<https://www.karkidi.com/job-details/4492-machine-learning-research-intern-job>

Palo Alto, CA, USA

Machine Learning Research Intern (Remote)
<https://www.karkidi.com/job-details/4493-machine-learning-research-intern-remote-job>

United States

Senior Product Data Scientist
<https://www.karkidi.com/job-details/4963-senior-product-data-scientist-job>

Palo Alto, CA, USA

Senior Product Data Scientist
<https://www.karkidi.com/job-details/4964-senior-product-data-scientist-job>

United States

Machine Learning Research Intern
<https://www.karkidi.com/job-details/4494-machine-learning-research-intern-job>

Palo Alto, CA, USA

Machine Learning Research Intern
<https://www.karkidi.com/job-details/4495-machine-learning-research-intern-job>

United States

Machine Learning Researcher
<https://www.karkidi.com/job-details/4496-machine-learning-researcher-job>

Palo Alto, CA, USA

Machine Learning Researcher
<https://www.karkidi.com/job-details/4497-machine-learning-researcher-job>

United States

Machine Learning Engineer
<https://www.karkidi.com/job-details/4490-machine-learning-engineer-job>

Palo Alto, CA, USA

Machine Learning Engineer
<https://www.karkidi.com/job-details/4491-machine-learning-engineer-job>

United States

Clinical Informaticist, Healthcare Data
<https://www.karkidi.com/job-details/4961-clinical-informaticist-healthcare-data-job>

Palo Alto, CA, USA

Clinical Informaticist, Healthcare Data
<https://www.karkidi.com/job-details/4962-clinical-informaticist-healthcare-data-job>

United States

December 22, 2022

Sennder Technologies GmbH

Sennder
<https://www.karkidi.com/Employer-Profile/8136-sennder-technologies-gmbh-jobs>
is a leading digital road freight forwarder in continental Europe, linking
large commercial shippers with small freight carriers. With its
in-house-developed platform, sennder provides a new level of automation,
transparency and efficiency to the European €300 billion road freight
market, which until now has been dependent on paper, phone and fax and
characterized by multi-layer subcontracting. sennder’s digital connection
to over 10,000.
Open Roles

(Senior) Machine Learning Engineer (MLOps)
<https://www.karkidi.com/job-details/34676-senior-machine-learning-engineer-mlops-job>

Barcelona, Spain

Senior Data Engineer
<https://www.karkidi.com/job-details/34711-senior-data-engineer-job>

Barcelona, Spain

Senior Data Scientist
<https://www.karkidi.com/job-details/34715-senior-data-scientist-job>

Barcelona, Spain

Senior Machine Learning Engineer (Data Science)
<https://www.karkidi.com/job-details/34719-senior-machine-learning-engineer-data-science-job>

Barcelona, Spain

(Senior) Machine Learning Engineer (MLOps)
<https://www.karkidi.com/job-details/34674-senior-machine-learning-engineer-mlops-job>

Paris, France

Senior Data Engineer
<https://www.karkidi.com/job-details/34709-senior-data-engineer-job>

Paris, France

Senior Data Scientist
<https://www.karkidi.com/job-details/34713-senior-data-scientist-job>

Paris, France

Senior Machine Learning Engineer (Data Science)
<https://www.karkidi.com/job-details/34717-senior-machine-learning-engineer-data-science-job>

Paris, France

Engineering Manager, Machine Learning
<https://www.karkidi.com/job-details/34700-engineering-manager-machine-learning-job>

Berlin, Germany

Senior Data Engineer
<https://www.karkidi.com/job-details/34708-senior-data-engineer-job>

Berlin, Germany

Senior Data Scientist
<https://www.karkidi.com/job-details/34712-senior-data-scientist-job>

Berlin, Germany

Senior Machine Learning Engineer (Data Science)
<https://www.karkidi.com/job-details/34716-senior-machine-learning-engineer-data-science-job>

Berlin, Germany

(Senior) Machine Learning Engineer (MLOps)
<https://www.karkidi.com/job-details/34728-senior-machine-learning-engineer-mlops-job>

Berlin, Germany

Senior Machine Learning Engineer (Data Science)
<https://www.karkidi.com/job-details/34718-senior-machine-learning-engineer-data-science-job>

Amsterdam, Netherlands

Senior Data Scientist
<https://www.karkidi.com/job-details/34714-senior-data-scientist-job>

Amsterdam, Netherlands

Senior Data Engineer
<https://www.karkidi.com/job-details/34710-senior-data-engineer-job>

Amsterdam, Netherlands

(Senior) Machine Learning Engineer (MLOps)
<https://www.karkidi.com/job-details/34675-senior-machine-learning-engineer-mlops-job>

Amsterdam, Netherlands

December 19, 2022

Wolt

Wolt <https://www.karkidi.com/Employer-Profile/236-wolt-jobs> is a
technology company that makes it incredibly easy to discover and get the
best restaurants, grocery stores and other local shops delivered to your
home or office. We’re based in Helsinki and operate in 23 countries and
129+ cities across EMEA, bringing together over 60,000 couriers and 30,000
restaurants.
Open Roles

Data Science Lead, Personalization
<https://www.karkidi.com/job-details/37616-data-science-lead-personalization-job>

Tallinn, Estonia

Data Science Lead, Personalization
<https://www.karkidi.com/job-details/37615-data-science-lead-personalization-job>

Vesterbrogade, Copenhagen Municipality, Denmark

Data Science Lead, Personalization
<https://www.karkidi.com/job-details/37614-data-science-lead-personalization-job>

Stockholm, Sweden

Data Science Lead, Personalization
<https://www.karkidi.com/job-details/37613-data-science-lead-personalization-job>

Berlin, Germany

Data Science Lead, Personalization
<https://www.karkidi.com/job-details/37612-data-science-lead-personalization-job>

Helsinki, Finland

Senior Data Scientist, Operations Research
<https://www.karkidi.com/job-details/37611-senior-data-scientist-operations-research-job>

Berlin, Germany

Data Scientist, Content & Personalisation
<https://www.karkidi.com/job-details/2298-data-scientist-content-personalisation-job>

Helsinki, Finland

December 16, 2022

American Institutes for Research

AIR
<https://www.karkidi.com/Employer-Profile/11431-american-institutes-for-research-jobs>
is a nonpartisan, not-for-profit institution that conducts behavioral and
social science research and delivers technical assistance to solve some of
the most urgent challenges in the U.S. and around the world. We advance
evidence in the areas of education, health, the workforce, human services,
and international development to create a better, more equitable world.
Open Roles

Senior Mathematical Data Scientist
<https://www.karkidi.com/job-details/37527-senior-mathematical-data-scientist-job>

Arlington, VA, USA

Senior Mathematical Data Scientist
<https://www.karkidi.com/job-details/37528-senior-mathematical-data-scientist-job>

Austin, TX, USA

Senior Mathematical Data Scientist
<https://www.karkidi.com/job-details/37529-senior-mathematical-data-scientist-job>

Chapel Hill, NC, USA

Senior Mathematical Data Scientist
<https://www.karkidi.com/job-details/37530-senior-mathematical-data-scientist-job>

Chicago, IL, USA

Senior Mathematical Data Scientist
<https://www.karkidi.com/job-details/37531-senior-mathematical-data-scientist-job>

Columbia, MD, USA

Senior Mathematical Data Scientist
<https://www.karkidi.com/job-details/37532-senior-mathematical-data-scientist-job>

Oakland, CA, USA

Senior Mathematical Data Scientist
<https://www.karkidi.com/job-details/37533-senior-mathematical-data-scientist-job>

Rockville, MD, USA

Senior Mathematical Data Scientist
<https://www.karkidi.com/job-details/37534-senior-mathematical-data-scientist-job>

Waltham, MA, USA

Senior Mathematical Data Scientist
<https://www.karkidi.com/job-details/37535-senior-mathematical-data-scientist-job>

Washington D.C., DC, USA

Senior Mathematical Data Scientist
<https://www.karkidi.com/job-details/37536-senior-mathematical-data-scientist-job>

United States

December 13, 2022

Giskard

Giskard is a young start-up developing *Open-Source solutions for Quality
Assurance of ML models. *The startup is looking for a* Researcher in
Machine Learning.*

The startup is based in Paris, incubated at Station F, and works on topics
close to the *FairML*, *ML Testing*, *XAI, *and *Privacy-Preserving
ML* communities.
Giskard as been nominated as one of the 20 most promising startups in
France by the French government (link
<https://www.usine-digitale.fr/article/voici-les-20-premiers-laureats-du-french-tech-deepnum20.N2060762>
).

Here is the job announcement:
https://apply.workable.com/giskard/j/E89FE8E310/

Please apply or recommend candidates!

Sincerely,

Jean-Marie John-Mathews, PhD
Co-founder & CPO @ *Giskard*
*Quality Assurance for AI*
*🌟 Star us on G
<https://t.sidekickopen03-eu1.com/s3t/c/5/f18dQhb0S7kC8dnG5jVnShQQ59hl2VN1Mk_njHV8VTW3GZHxF6BxqhJN1N4Cvn7Wx6Gf5Fh4xC02?te=W3R5hFj4cm2zwW3C9rn23-1rYZw21gzp1bFy2&si=8000000021877805&pi=0a4a4c37-682b-4d9f-f1c7-18acab082c16>ithub
<https://t.sidekickopen03-eu1.com/s3t/c/5/f18dQhb0S7kC8dnG5jVnShQQ59hl2VN1Mk_njHV8VTW3GZHxF6BxqhJN1N4Cvn7Wx6Gf5Fh4xC02?te=W3R5hFj4cm2zwW3C9rn23-1rYZw21gzp1bFy2&si=8000000021877805&pi=0a4a4c37-682b-4d9f-f1c7-18acab082c16>*
🧪 *Scientific publications*: *researchgate.net*
<https://www.researchgate.net/profile/Jean-Marie-John-Mathews>

December 13, 2022

Metropolis Technologies

We are on a mission to make the journey remarkable by bringing the ease of
digital transactions to the physical world with mobility commerce, a new
way to transact that connects transportation, payments, and local
businesses for the first time. That means making bricks and mortar smarter,
and making living and playing in our cities a joy.
Open Roles

Machine Learning Software Engineer
<https://www.karkidi.com/job-details/36658-machine-learning-software-engineer-job>

United States

Senior Embedded Systems Engineer
<https://www.karkidi.com/job-details/36659-senior-embedded-systems-engineer-job>

Seattle, WA, USA

Senior Technical Program Manager – Imaging
<https://www.karkidi.com/job-details/36660-senior-technical-program-manager-imaging-job>

Seattle, WA, USA; Los Angeles, CA, USA; New York, NY, USA

Senior Manager, Data Analytics
<https://www.karkidi.com/job-details/36661-senior-manager-data-analytics-job>

Seattle, WA, USA; Los Angeles, CA, USA; New York, NY, USA

Senior Data Engineer
<https://www.karkidi.com/job-details/36662-senior-data-engineer-job>

Seattle, WA, USA; Los Angeles, CA, USA; New York, NY, USA

Senior Data Architect (DW and ETL)
<https://www.karkidi.com/job-details/36663-senior-data-architect-dw-and-etl-job>

Los Angeles, CA, USA; New York, NY, USA; United States

Senior Director of Pricing Strategy
<https://www.karkidi.com/job-details/36664-senior-director-of-pricing-strategy-job>

Austin, TX, USA; Detroit, MI, USA; Houston, TX, USA

Senior Director of Pricing Strategy
<https://www.karkidi.com/job-details/36665-senior-director-of-pricing-strategy-job>

Los Angeles, CA, USA; Nashville, TN, USA

Senior Director of Pricing Strategy
<https://www.karkidi.com/job-details/36666-senior-director-of-pricing-strategy-job>

December 6, 2022

National Institute of Mental Health

The Machine Learning Team at the National Institute of Mental Health (NIMH)
in Bethesda, MD, has an open position for a machine learning research
scientist. The NIMH is the leading federal agency for research on mental
disorders and neuroscience, and part of the National Institutes of Health
(NIH). A copy of this ad may be found at

https://nih-fmrif.github.io/ml/index.html

### About the NIMH Machine Learning Team

Our mission is to help NIMH scientists use machine learning methods to
address a diverse set of research problems in clinical and cognitive
psychology and neuroscience. These range from identifying biomarkers for
aiding diagnoses to creating and testing models of mental processes in
healthy subjects. Our overarching goal is to use machine learning to
improve every aspect of the scientific effort, from helping discover or
develop theories to generating actionable results.

We work with many different data types, e.g. very large brain imaging
datasets in various imaging modalities, neural recordings, behavioral data,
and picture and text corpora. We have excellent computational resources,
both of our own (tens of high-end GPUs for deep learning, several large
servers) and shared within the NIH (a cluster with hundreds of thousands of
CPUs, and hundreds of GPUs).

As a machine learning research group, we develop new methods and publish in
the main machine learning conferences (e.g. NeurIPS and ICLR), as well as
in psychology and neuroscience journals. Many of our problems require
devising research approaches that combine imaging and non-imaging data, and
leveraging structured knowledge resources (databases, scientific
literature, etc) to generate explanations and hypotheses. You can find more
about our work and recent publications at

https://cmn.nimh.nih.gov/mlt

### About the position

This position requires experience in the use of deep learning in the
context of substantial research projects, ideally having led to
publications (or preprints). As our team works on both applications and
method development, here are some examples of projects we have carried out
or are presently engaged in:

– Bayesian deep neural networks for brain segmentation with uncertainty
– convolutional neural networks on structural or functional brain MRI for
decoding information or person characteristics
– a comparison of approaches for generating gradient-based saliency maps
for neural networks in brain imaging data
– a method for distributed training and consolidation of Bayesian deep
neural networks
– modifications of neural network models of vision to test hypotheses about
visual representations in the brain
– transformer models for predicting fine-grained content labels in text
transcripts from therapy sessions
– improving transfer learning in neuroimaging
– fine-tuning of large language models for emulation of participants in
psychology experiments

Please emphasize this aspect of your experience in your application.

In general, we are seeking candidates who are capable of combining machine
learning, statistical, and domain-specific computational tools to solve
practical data analysis challenges (e.g. designing experiments, generating
and testing statistical hypotheses, training and interpreting predictive
models, and developing novel models and methods). Additionally, candidates
should be capable of visualizing and communicating findings to a broad
scientific audience, as well as explaining the details of relevant methods
to researchers in a variety of domains.

Other desirable experience includes:

– mathematical optimization (e.g. convex, linear programming, integer
programming)
– statistical inference (e.g. generalized linear models, mixed effect
models, state space models, survival analysis)
– reinforcement learning
– Bayesian statistical modelling
– other types of modelling of human/animal learning and decision-making
– neuroimaging data processing/ analysis (any MRI modality, MEG, or EEG)
– modelling of other types of neural data (e.g. neural recordings, calcium
imaging)

Finally, you should have demonstrable experience programming in languages
currently used in data-intensive, scientific computing, such as Python,
MATLAB or R. Experience with handling large datasets in high performance
computing settings is also very valuable. Although this position requires a
Ph.D. in a STEM discipline, we will consider applicants from a variety of
backgrounds, as their research experience is the most important factor.
Backgrounds of team members include computer science, statistics,
mathematics, and biomedical engineering.

This is an ideal position for someone who wants to establish a research
career in methods development and applications driven by scientific and
clinical needs. Given our access to a variety of collaborators and large or
unique datasets, there is ample opportunity to match research interests
with novel research problems. We also maintain collaborations outside of
the NIH, driven by our own research interests or community impact.

If you would like to be considered for this position, please send
francisco.pereira@nih.gov a CV, with your email serving as a cover letter.
We especially encourage applications from members of underrepresented
groups in the machine learning research community. If you already have a
research statement, please feel free to send that as well. There is no need
for reference letters at this stage. Other inquiries are also welcome.
Thank you for your attention and interest!

December 6, 2022

University Hospital of North-Norway

*Data scientist / ML engineer – ML for health, The Norwegian Centre for
Clinical Artificial Intelligence (SPKI), University Hospital of
North-Norway*

SPKI is expanding, and is in search of a highly motivated data scientist /
ML engineer who wants to contribute to the development and implementation
of new artificial intelligence (AI) tools for health.

The work will be done in a highly interdisciplinary environment, and you
will collaborate with a team consisting of clinicians, scientists from the
university and technologists, legal experts, industry partners, as well as
personnel responsible for ICT, data security, privacy concerns and more.
This environment also includes researchers at The Machine Learning Group
and Visual Intelligence .

For details, please see:
https://www.finn.no/job/fulltime/ad.html?finnkode=283131608