Machine Learning Researchers and Engineers

Machine Learning Researchers and Engineers

Berlin Vollzeit Kein Homeoffice möglich
Stellenticket GmbH

Auf einen Blick

  • Aufgaben: Join our team to apply machine learning in drug discovery and biomolecular simulation.
  • Unternehmen: D. E. Shaw Research develops advanced computational technologies for drug design in NYC.
  • Vorteile: Enjoy a competitive salary, bonuses, and hybrid work options with relocation assistance.
  • Weitere Informationen: We value diversity and welcome applicants from all backgrounds.
  • Warum dieser Job: Collaborate with experts in a cutting-edge environment focused on innovation and impact.
  • Qualifikationen: Strong Python skills and a passion for machine learning; experience in related fields is a plus.

D. E. Shaw Research (DESRES), based in New York City, develops and uses advanced computational technologies to understand the behavior of biologically and pharmaceutically significant molecules at an atomic level of detail, and to design precisely targeted, highly selective drugs for the treatment of various diseases. Among its core technologies is Anton, a proprietary special-purpose supercomputer that DESRES designed and constructed to vastly accelerate the process of molecular dynamics simulation. DESRES uses Anton machines and high-speed commodity hardware, together with machine learning methods and other computational techniques, in both internal and collaborative drug discovery programs.

Machine Learning Researchers and Engineers

Machine learning researchers and 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. Areas of focus include generative models to help identify novel molecules for drug discovery targets, predict PK and ADME properties of small molecules, develop more accurate approaches for molecular simulations, and understand disease mechanisms. Ideal candidates will have strong Python programming skills. Relevant areas of experience might include deep learning techniques, systems software, high performance computation, numerical algorithms, data science, cheminformatics, medicinal chemistry, structural biology, molecular physics, 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.

What we offer:

The expected annual base salary for this position is $300,000–$600,000. Our compensation package also includes variable compensation in the form of sign-on and year-end bonuses, and generous benefits, including relocation and immigration assistance. The applicable annual base salary paid to a successful applicant will be determined based on multiple factors including the nature and extent of prior experience and educational background. We follow a hybrid work schedule, in which employees work from the office on Tuesday through Thursday, and have the option of working from home on Monday and Friday.

How to apply:

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

D. E. Shaw Research is an equal opportunity employer, dedicated to the goal of building a diverse workforce. We embrace diversity along all dimensions, and respect and value the unique qualities, perspectives, and identities of every person in our group. 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.

#J-18808-Ljbffr

Machine Learning Researchers and Engineers Arbeitgeber: Stellenticket GmbH

D. E. Shaw Research (DESRES) is an exceptional employer located in the vibrant heart of New York City, offering a unique opportunity for Machine Learning Researchers and Engineers to engage in groundbreaking work at the intersection of technology and drug discovery. Our collaborative work culture fosters innovation and intellectual curiosity, supported by generous benefits, competitive compensation packages, and a hybrid work schedule that promotes work-life balance. Join us to be part of a diverse team dedicated to advancing scientific knowledge and making a meaningful impact on healthcare.

Stellenticket GmbH

Kontaktdaten:

Stellenticket GmbH Recruiting-Team

StudySmarter Expertenrat🤫

Wir sind der Meinung, dass Sie so Machine Learning Researchers and Engineers erhalten könnten

Tip Number 1

Make sure to showcase your strong Python programming skills during the interview. Be prepared to discuss specific projects where you've applied Python in machine learning or computational research.

Tip Number 2

Highlight any interdisciplinary collaboration experience you have. Since this role involves working with chemists, biologists, and computer scientists, demonstrating your ability to work across different fields will set you apart.

Tip Number 3

Stay updated on the latest advancements in machine learning techniques relevant to drug discovery. Being able to discuss recent trends or breakthroughs can show your intellectual curiosity and passion for the field.

Tip Number 4

Prepare to discuss your achievements and innovations in machine learning. Have specific examples ready that demonstrate your problem-solving skills and how you've contributed to past projects.

Wir glauben, dass du diese Fähigkeiten brauchst, um Machine Learning Researchers and Engineers mit Bravour zu bestehen

Python Programming
Machine Learning Techniques
Deep Learning
Data Science
Numerical Algorithms
High Performance Computing
Cheminformatics

Einige Tipps für deine Bewerbung 🫡

Highlight Relevant Experience:Make sure to emphasize your experience in machine learning, especially any projects or roles that involved deep learning techniques, data science, or cheminformatics. Tailor your CV to showcase achievements that align with the job description.

Showcase Programming Skills:Since strong Python programming skills are essential for this role, include specific examples of your programming experience. Mention any relevant libraries or frameworks you have worked with, such as TensorFlow or PyTorch.

Express Intellectual Curiosity:In your cover letter, convey your intellectual curiosity and versatility. Discuss how your background and interests align with the interdisciplinary nature of the team at D. E. Shaw Research, particularly in drug discovery and biomolecular simulation.

Tailor Your Application:Customize your application materials to reflect the unique aspects of D. E. Shaw Research. Mention their proprietary technologies like Anton and express your enthusiasm for contributing to their innovative projects in drug discovery and molecular dynamics.

Wie man sich auf ein Vorstellungsgespräch bei Stellenticket GmbH vorbereitet

Showcase Your Technical Skills

Make sure to highlight your strong Python programming skills and any relevant experience with machine learning techniques. Be prepared to discuss specific projects where you've applied these skills, especially in areas like deep learning or molecular simulations.

Demonstrate Intellectual Curiosity

D. E. Shaw Research values intellectual curiosity and versatility. Be ready to talk about how you've approached complex problems in the past and your eagerness to learn new methodologies or technologies in the field of drug discovery and biomolecular simulation.

Prepare for Collaborative Discussions

Since this role involves working closely with chemists, biologists, and computer scientists, think about examples from your past experiences that showcase your ability to collaborate effectively in interdisciplinary teams. Highlight any successful projects that required teamwork.

Understand the Company’s Mission

Familiarize yourself with D. E. Shaw Research's mission and core technologies, particularly the Anton supercomputer and its applications in drug discovery. Being able to articulate how your background aligns with their goals will demonstrate your genuine interest in the position.