Member of Technical Staff, Research Engineer
- Location
- New York, NY · On-site
- Job type
- Full-time
- Level
- Mid-level
- Education
- Bachelor's degree
- Listed
- 23 days ago
Skills & highlights for this role
- PyTorch
- machine learning
- deep learning
- survival analysis
- GPU optimization
Also useful
- self-supervised learning
- computational pathology
- causal inference
Responsibilities
- Implement novel machine learning models and methods for self-supervised learning, survival analysis, multi-modal learning, causality and interpretability.
- Translate machine learning and statistics papers into production-ready code.
- Build robust model evaluation frameworks and monitor model performance.
- Develop pipelines for data preprocessing, integration, and quality assurance.
- Maintain high standards of scientific documentation to ensure reproducibility and clarity in both internal reports and external publications.
- Optimize code to run efficiently on GPU clusters, with emphasis on speed and scalability.
- Deploy machine learning models to the cloud in optimized inference pipelines.
- Develop and maintain regression and unit tests to ensure high-quality code.
- Disseminate the results by co-authoring research papers and abstracts.
- Collaborate with a multidisciplinary team of engineers and scientists.
Qualifications
- BS/MS/PhD degree in computer science, machine learning or statistics.
- Excellent understanding of core machine learning concepts.
- Excellent knowledge of the foundations of statistics, linear algebra and probability.
- Excellent skills in Python and PyTorch.
- Proficiency in data visualization and communicating complex results to both technical and non-technical audiences.
- Excellent understanding of computer architecture, parallel training of AI models, and GPU optimization.
- Experience in deep learning. Experience in at least one of {self-supervised learning, survival analysis, multi-modal learning, domain adaptation, causal inference, model interpretability, computational pathology} is a plus but is not critical.
- Attention to detail and ability to drive tasks to completion.
- Passion for research. Prior publications in A* conferences (e.g. ICML, ICLR, NeurIPS, CVPR) are a plus but are not critical.
About Ataraxis AI
Ataraxis is a clinical AI research lab working at the intersection of multi-modal AI and precision medicine. Our goal is to make disease predictable. To accomplish this, we develop new AI methods that predict patient outcomes and treatment response, and build clinical tools to assist physicians in selecting the most optimal treatments for their patients.
Our AI research lab discovers and develops methods to recognize patterns and predict outcomes across complex, multi-modal clinical data. This spans our causality (Ataraxis™ Tau), foundation model (Falcon and Kestrel for digital pathology), and survival analysis research.
Our first clinical products, such as Ataraxis™ Breast for breast cancer, already help patients get the most appropriate treatment across the best academic institutions and community clinics worldwide.
At Ataraxis, you will have a unique opportunity to shape not only the future of our company, but also the future of healthcare. You will join an exceptional team at the forefront of clinical AI research and deployment. Our advisors include AI pioneers such as our founding advisor, Yann LeCun, and distinguished oncologists from top cancer research institutions, all united by the mission to redefine precision medicine.
Ataraxis has raised over $24 million in funding, including a $20 million Series A led by top venture capital funds such as Thiel Capital/Founders Fund (OpenAI, SpaceX, Palantir), Obvious Ventures (AMI Labs, Inceptive, Radical Numerics, Recursion), and AIX Ventures (Hugging Face, Perplexity).
We are an company with a flat organizational structure, where every team member is empowered to actively contribute. Leadership roles are earned by those who demonstrate initiative and consistently deliver exceptional results. Strong work ethic and the ability to prioritize ruthlessly are essential.
From Ataraxis AI's careers page, first listed on Rolev.ai on October 17, 2026. Rolev.ai is not the employer.
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Common questions
Where is the Member of Technical Staff, Research Engineer job at Ataraxis AI located?
This Member of Technical Staff, Research Engineer position at Ataraxis AI is located in New York, NY (On-site). Always check Ataraxis AI's application page for specific state eligibility or relocation policies.
What qualifications are required for Member of Technical Staff, Research Engineer at Ataraxis AI?
For the Member of Technical Staff, Research Engineer role, Ataraxis AI highlights a bachelor's degree; experience with PyTorch, machine learning, deep learning, survival analysis, GPU optimization. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.
How do I apply for the Member of Technical Staff, Research Engineer position at Ataraxis AI?
This listing links directly to Ataraxis AI's Ashby application page. You can apply directly on Ataraxis AI's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the Ashby application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.