Machine learning engineers
with impressive records of academic and professional achievements sought to
join our interdisciplinary team in New York City.

This
is a unique opportunity to collaborate with our chemists,
biologists, and computer scientists to expand the group’s efforts
applying machine learning to drug discovery, biomolecular simulation, and
biophysics.&nbsp; Ideal candidates will have
demonstrated expertise in developing deep learning techniques, as well as
strong Python programming skills.&nbsp; Relevant
areas of experience might include molecular dynamics, structural biology,
medicinal chemistry, cheminformatics, and/or quantum chemistry, but specific
knowledge of any of these areas is less critical than intellectual curiosity, versatility,
and a track record of achievement and innovation in the field of machine
learning.



D. E. Shaw Research is
an independent research group focusing primarily on molecular simulations of
proteins and other biological macromolecules with the long-term goal of
transforming the process of drug discovery.&nbsp; We have developed multiple
generations of a special-purpose supercomputer, ANTON®, capable of
executing molecular dynamics
simulations orders of magnitude faster than was previously possible, as well
as software tools aimed at achieving major scientific advances in the fields of
biochemistry and molecular biology.&nbsp; Machine learning
techniques are a rapidly-growing aspect of our research efforts.&nbsp; For example, we have developed and
published neural networks that improve the accuracy of quantum chemistry
models, and have trained deep learning models to generate optimized molecules
for drug discovery.

We
take great pride in the caliber of our team, and we offer above-market compensation.&nbsp; We also
provide generous relocation and immigration assistance to new hires. &nbsp;In addition, we strive to support the personal
and professional needs of our team members by offering generous benefits,
opportunities for community engagement, and a variety of learning and
development programs.

To submit an
application, please use the link provided below:

<a href="https://apply.deshawresearch.com/careers/Register?pipelineId=597&amp;source=Deep+Learning+Jobs">https://apply.deshawresearch.com/careers/Register?pipelineId=597&amp;source=Deep+Learning+Jobs</a>

D. E. Shaw Research is
an equal opportunity employer, dedicated to the goal of building a diverse,
workforce. &nbsp;We embrace diversity along all
dimensions, and respect and value the unique qualities, perspectives, and
identities of every person in our group. &nbsp;We welcome inquiries from all exceptionally
well-qualified applicants, regardless of race, color, nationality, national or
ethnic origin, religion or religious belief, caste, gender identity, pregnancy,
caregiver status, age, military service eligibility, veteran status, sexual
orientation, marital or civil partner status, disability, or status in any
other category protected in this regard by law in any jurisdiction in which we
operate.

Machine Learning -- Computational Biochemistry and Drug Discovery

Etsy is the global marketplace for unique and creative goods. We build, power, and evolve the tools and technologies that connect entrepreneurs with buyers around the world. Etsy, Inc.'s 'house of brands' portfolio has expanded to now include four individually distinct ecommerce brands -- Etsy, fashion resale marketplace Depop, musical instrument marketplace Reverb, and Brazil-based handmade goods marketplace Elo7. As an Etsy employee, you'll tackle unique problems alongside talented coworkers committed to Keeping Commerce Human. We're large enough that you'll focus on meaningful, complex challenges, but small enough that you can make a rewarding impact.

Etsy is hiring a Machine Learning Engineer to join the Retrieval Sciences team. We are looking for individuals who are product and delivery-driven, and are passionate about making ML innovations in information retrieval to help improve the Etsy buyer/seller experience.

Does the problem of finding a needle in the haystack—the perfect handmade or vintage product among hundreds of millions that is unique for each use—using the latest ML innovations, at scale in a two-sided marketplace with 105+ million buyers, 5+ million sellers sound exciting to you? If so, this could be the perfect match.

Our team works closely with other Machine Learning and Information Retrieval Platform teams to develop state of the art, large-scale models to retrieve the most relevant products for Etsy buyers. We are looking for individuals who are passionate about making ML innovations in search and retrieval to improve the Etsy buyer experience.

This is a full-time role based in Brooklyn, NY, or San Francisco, CA, or remote within the US &amp; Canada. Etsy offers three different work modes to meet the variety of needs and preferences of our team: Flex mode for candidates who are comfortable traveling to an office location at least 4-6 days per month, Remote mode, and Office-based mode. Learn more about our flexible work modes and vaccination policy&nbsp;<a href="https://careers.etsy.com/global/en/how-and-where-we-work">here</a>.

Our team builds the first stage candidate retrieval layer that powers multiple applications in Etsy, including search at etsy.com. We closely track the latest techniques in ML, NLP, and IR research and apply them at Etsy’s scale of hundreds of millions of hand-crafted and vintage items. Here is a sample of models and techniques we design, build, and productionize:

If you're interested in joining the team at Etsy, please send a cover letter and resume telling us why you'd be right for the position. As you've hopefully seen already, Etsy is a place that values individuality and variety. We don't want you to be like everyone else -- we want you to be like you! So write to us and tell us what you're all about.

At Etsy, we believe that a diverse, equitable and inclusive workplace makes us a more relevant, more competitive, and more resilient company. We encourage people from all backgrounds, ages, abilities, and experiences to apply. Etsy is an equal opportunity employer. We do not discriminate on the basis of race, color, ancestry, religion, national origin, sexual orientation, age, citizenship, marital or family status, disability, gender, gender identity or expression, pregnancy or caregiver status, veteran status, or any other legally protected status. We will ensure that individuals with disabilities are provided reasonable accommodations to participate in the job application and interview process, to perform essential job functions, and to receive other benefits and privileges of employment. While Etsy supports visa sponsorship, sponsorship opportunities may be limited to certain roles and skillsets.

Many Etsy roles are open to remote candidates, and you'll be able to identify which ones within the location header of each job description. We're open to remote hires from all U.S. states except Hawaii and Alaska. For candidates who will work remotely from Colorado, visit this&nbsp;<a href="https://careers.etsy.com/global/en/Colorado-Equal-Pay-for-Equal-Work-Act-Information">link</a>&nbsp;for information related to Colorado's Equal Pay for Equal Work Act.

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Machine Learning -- Computational Biochemistry and Drug Discoveryat D. E. Shaw Research

Software Engineer II, Machine Learning, Retrieval Sciencesat Etsy

Etsy is the global marketplace for unique and creative goods.