Scientist / Senior Scientist, Multimodal AI

We are looking for a technical specialist who thrives on solving "unsolvable" problems through code and rigorous experimentation. We are open to candidates at the Scientist I, Scientist II, or Senior Scientist level based on technical expertise.

- Education: PhD in Computer Science, AI/ML, Biomedical Engineering, or a related quantitative field.

- Hands-on CV Expertise: Deep experience building and deploying modern Computer Vision architectures (Vision Transformers, U-Nets, Self-Supervised Learning).

- Distributed Training: Proven experience training and fine-tuning large models at scale using frameworks like PyTorch Distributed, DeepSpeed, or Jax.

- Programming Mastery: Expert-level Python skills, with a focus on building production-ready machine learning code and large-scale data management systems.

- Scientific Contributions: A track record of technical contributions via high-impact publications (CVPR, ICCV, NeurIPS, etc.) or significant contributions to open-source ML frameworks.

- Direct experience with Multimodal Fusion (e.g., aligning image embeddings with transcriptomic or proteomic data).

- Proficiency with cloud-native AI tools (AWS/GCP, Kubernetes, Docker) and building automated MLOps workflows.

- Experience handling the unique noise and sparsity of biological data.

- Scientist I, Machine Learning: $200,900 - $257,500

- Scientist II, Machine Learning: $226,200 - $290,000

- Senior Scientist I, Machine Learning: $257,400 - $330,000

- Scientist I, Machine Learning: $179,400 - $230,000

- Scientist II, Machine Learning: $212,900 - $273,000

- Senior Scientist I, Machine Learning: $239,500 - $307,000

#LI-NN1

Exact compensation may vary based on skills, experience, and location.

For UK applicants, before submitting your application: - Please click here to read the Altos Labs EU and UK Applicant Privacy Notice ( bit.ly/eu_uk_privacy_notice ) - This Privacy Notice is not a contract, express or implied and it does not set terms or conditions of employment.

We value collaboration and scientific excellence.

We believe that a culture of belonging are foundational to scientific innovation and inquiry. At Altos Labs, exceptional scientists and industry leaders from around the world work together to advance a shared mission. Our intentional focus is on Belonging, so that all employees know that they are valued for their unique perspectives.

We are all accountable for sustaining an inclusive environment.

Altos Labs provides equal employment opportunities to all employees and applicants for employment, without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Altos prohibits unlawful discrimination and harassment. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

Thank you for your interest in Altos Labs where we strive for a culture of scientific excellence, learning, and belonging.

Note: Altos Labs will not ask you to download a messaging app for an interview or outlay your own money to get started as an employee. If this sounds like your interaction with people claiming to be with Altos, it is not legitimate and has nothing to do with Altos. Learn more about a common job scam at https://www.linkedin.com/pulse/how-spot-avoid-online-job-scams-biron-clark/