At a Glance
- Tasks: Lead AI model development for drug discovery and collaborate with experts in healthcare.
- Company: Innovative biotech startup transforming drug discovery with AI.
- Benefits: Competitive salary, bonuses, professional development, and inclusive work culture.
- Other info: Join a diverse team dedicated to continuous learning and groundbreaking research.
- Why this job: Make a real impact on global health by advancing drug discovery through AI.
- Qualifications: 7+ years in AI, strong programming skills, and experience with large-scale models.
The predicted salary is between 80000 - 100000 € 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 is 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.
Senior/ Staff Research Engineer employer: Albert Invent
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 emphasis on professional development, competitive compensation, and a collaborative culture that values diversity and innovation, employees are empowered to make a meaningful impact on global health. Join us to leverage cutting-edge technologies and contribute to groundbreaking research that aims to transform healthcare.
StudySmarter Expert Advice🤫
We think this is how you could land Senior/ Staff Research Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the biotech and AI space, especially those connected to Xaira. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! If you've got projects or research that align with what Xaira is doing, make sure to highlight them in conversations. Bring your portfolio to life and let your work speak for itself.
✨Tip Number 3
Prepare for technical interviews by brushing up on deep learning frameworks and distributed training techniques. We all know how crucial these are for the role, so be ready to dive deep into your expertise!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in being part of our mission at Xaira. Let's make a difference together!
We think you need these skills to ace Senior/ Staff Research Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in AI and drug discovery. Use keywords from the job description to show that you’re a perfect fit for the role.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share your passion for AI and healthcare, and explain how your background aligns with Xaira's mission. Keep it engaging and personal.
Showcase Your Projects:If you've worked on relevant projects or have publications, don’t hold back! Include links or summaries to demonstrate your expertise and contributions to the field.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity!
How to prepare for a job interview at Albert Invent
✨Know Your AI Models Inside Out
Make sure you’re well-versed in the latest advancements in AI and deep learning frameworks like PyTorch or Jax. Be prepared to discuss your experience with distributed training and how you've optimised AI models in previous roles.
✨Showcase Your Problem-Solving Skills
Be ready to share specific examples of complex problems you've tackled in the past. Highlight your thought process, the trade-offs you considered, and how you arrived at your solutions. This will demonstrate your ability to think critically and work collaboratively.
✨Communicate Clearly and Effectively
Since this role involves collaboration with interdisciplinary teams, practice explaining technical concepts in a way that’s accessible to non-experts. Prepare to discuss how you’ve contributed to technical documentation and presentations in your previous positions.
✨Stay Current and Curious
Research recent publications and breakthroughs in AI and drug discovery. Being able to discuss these topics during your interview shows your passion for the field and your commitment to continuous learning, which is crucial for a role at Xaira Therapeutics.