Senior/ Staff Research Engineer
Senior/ Staff Research Engineer

Senior/ Staff Research Engineer

London Full-Time 48000 - 84000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Lead AI model development for drug discovery and collaborate with experts in healthcare.
  • Company: Xaira Therapeutics is a pioneering biotech startup using AI to revolutionise drug discovery.
  • Benefits: Enjoy competitive pay, professional growth opportunities, and a diverse, inclusive work culture.
  • Why this job: Make a real impact on global health by advancing innovative AI technologies in medicine.
  • Qualifications: Bachelor's degree in relevant fields and 7+ years of AI experience required.
  • Other info: Join a mission-driven team dedicated to improving human health through cutting-edge research.

The predicted salary is between 48000 - 84000 £ per year.

About Xaira Therapeutics
Xaira is an innovative biotech startup focused on leveraging AI to transform drug discovery and development. The company is leading the development of generative AI models to design protein and antibody therapeutics, enabling the creation of medicines against historically hard-to-drug molecular targets. It is also developing foundation models for biology and disease to enable better target elucidation and patient stratification. Collectively, these technologies aim to continually enable the identification of novel therapies and to improve success in drug development. Xaira is headquartered in the San Francisco Bay Area, Seattle, and London.
Position Overview
We are seeking an experienced AI Research Engineer to join our team and lead some of our efforts in building the AI powered future of drug discovery. As a senior member of our interdisciplinary group, you will collaborate closely with AI scientists, other engineers, and drug discovery experts to help develop AI models to accelerate the identification and development of novel therapeutics. This role offers a unique opportunity to leverage cutting-edge AI techniques to address pressing challenges in healthcare and contribute to improving human health globally.
Key Responsibilities

  • Drive the development of state-of-the-art AI models for drug discovery tasks, leveraging deep learning frameworks.
  • Scale distributed training of large AI models on GPUs.
  • Profile and optimize AI models in training and inference contexts.
  • Stay abreast of the latest advancements in AI, machine learning and proactively identify opportunities for innovation and improvement.
  • Contribute to technical documentation, reports, and presentations to communicate findings, methodologies, and insights clearly and effectively.
  • Provide deep technical leadership on the development and optimization of core AI models that power our drug discovery efforts.

Minimum Qualifications

  • Bachelor\’s degree in Computer Science, Engineering, or related fields.
  • 7+ years of industry experience in AI, machine learning, or related roles, with a track record of successfully implementing and deploying AI models in production environments.
  • Proficiency in programming languages such as Python, C++ and deep expertise with frameworks such as PyTorch/Jax
  • Strong understanding of deep learning fundamentals, including neural network architectures, optimization techniques, and evaluation metrics.
  • Experience in distributed training and inference of large scale AI models on thousands of GPUs using DDP, FSDP etc
  • Experience with performance optimization of large scale AI models
  • Effective communication and collaboration abilities, with the capacity to work effectively in a fast-paced, multidisciplinary team environment.
  • Experience solving complex problems and comparing alternative solutions, tradeoffs, and diverse points of view to determine a path forward.

Preferred Qualifications:

  • Publication track record at conferences such as NeurIPS, ICML, ICLR, etc.
  • Experience working and communicating cross-functionally on an interdisciplinary team.
  • Experience with different GPU architectures, cloud environments and investigating tradeoffs
  • Experience with low level hardware optimization and with custom CUDA kernels
  • Contributions to open source projects

Benefits

  • Opportunity to make a meaningful impact by contributing to groundbreaking research at the intersection of AI and healthcare.
  • Competitive compensation package, including salary, bonuses, and benefits.
  • Professional development opportunities, including access to conferences, workshops, and training programs.
  • A collaborative and inclusive work culture that values diversity, creativity, and continuous learning.
  • Chance to work with and develop cutting-edge technologies and contribute to projects with significant societal benefit.

If you are a motivated individual with a passion for applying AI to advance drug discovery and improve human health, we encourage you to apply and join us in our mission to make a positive difference in the world.
Xaira Therapeutics an equal-opportunity employer. We believe that our strength is in our differences. Our goal to build a diverse and inclusive team began on day one, and it will never end.
TO ALL RECRUITMENT AGENCIES: Xaira Therapeutics does not accept agency resumes. Please do not forward resumes to our jobs alias or employees. Xaira Therapeutics is not responsible for any fees related to unsolicited resumes. #J-18808-Ljbffr

Senior/ Staff Research Engineer employer: Xaira Therapeutics

Xaira Therapeutics is an exceptional employer, offering a unique opportunity to work at the forefront of AI-driven drug discovery in the vibrant San Francisco Bay Area. With a strong commitment to professional development and a collaborative, inclusive culture, employees are empowered to make a meaningful impact on global health while working with cutting-edge technologies. The company values diversity and creativity, ensuring that every team member can contribute to groundbreaking research that addresses pressing healthcare challenges.
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Contact Detail:

Xaira Therapeutics Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior/ Staff Research Engineer

✨Tip Number 1

Familiarise yourself with the latest advancements in AI and drug discovery. Follow relevant journals, attend webinars, and engage with online communities to stay updated. This knowledge will not only help you during interviews but also demonstrate your genuine interest in the field.

✨Tip Number 2

Network with professionals in the biotech and AI sectors. Attend industry conferences or local meetups to connect with potential colleagues and learn about their experiences. Building these relationships can provide valuable insights and may even lead to referrals.

✨Tip Number 3

Showcase your technical skills through personal projects or contributions to open-source initiatives. Highlighting your experience with frameworks like PyTorch or Jax, as well as any work on distributed training, can set you apart from other candidates.

✨Tip Number 4

Prepare for technical interviews by practising problem-solving and coding challenges related to AI and machine learning. Use platforms like LeetCode or HackerRank to sharpen your skills, focusing on deep learning concepts and optimisation techniques that are relevant to the role.

We think you need these skills to ace Senior/ Staff Research Engineer

Deep Learning Frameworks (PyTorch, Jax)
Programming Languages (Python, C++)
Distributed Training Techniques (DDP, FSDP)
Neural Network Architectures
Performance Optimisation of AI Models
Technical Documentation and Reporting
Collaboration in Multidisciplinary Teams
Problem-Solving Skills
Understanding of Evaluation Metrics
Experience with GPU Architectures
Cloud Environment Familiarity
Low-Level Hardware Optimisation
Custom CUDA Kernel Development
Publication Experience in AI Conferences

Some tips for your application 🫡

Understand the Company: Familiarise yourself with Xaira Therapeutics and their mission. Highlight your understanding of how AI is transforming drug discovery and how your skills align with their goals.

Tailor Your CV: Ensure your CV reflects relevant experience in AI, machine learning, and drug discovery. Emphasise your proficiency in programming languages like Python and C++, as well as your experience with frameworks such as PyTorch or Jax.

Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI in healthcare. Discuss specific projects or achievements that demonstrate your ability to lead AI model development and your collaborative skills within interdisciplinary teams.

Highlight Relevant Publications: If you have publications in conferences like NeurIPS or ICML, make sure to mention them. This will strengthen your application by showcasing your expertise and contributions to the field.

How to prepare for a job interview at Xaira Therapeutics

✨Showcase Your Technical Expertise

Be prepared to discuss your experience with AI models, particularly in drug discovery. Highlight specific projects where you've implemented deep learning frameworks like PyTorch or Jax, and be ready to explain the challenges you faced and how you overcame them.

✨Demonstrate Problem-Solving Skills

Expect questions that assess your ability to solve complex problems. Prepare examples of how you've compared alternative solutions and made decisions based on trade-offs. This will show your analytical thinking and decision-making process.

✨Communicate Clearly and Effectively

Since collaboration is key in this role, practice articulating your thoughts clearly. Be ready to explain technical concepts in a way that non-experts can understand, as you'll be working with interdisciplinary teams.

✨Stay Updated on Industry Trends

Familiarise yourself with the latest advancements in AI and machine learning, especially those relevant to drug discovery. Being able to discuss recent developments or innovations will demonstrate your passion for the field and your commitment to continuous learning.

Senior/ Staff Research Engineer
Xaira Therapeutics
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  • Senior/ Staff Research Engineer

    London
    Full-Time
    48000 - 84000 £ / year (est.)

    Application deadline: 2027-08-18

  • X

    Xaira Therapeutics

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