Machine Learning Research Scientist ($120k-180k + Equity) at Deep tech AI resear
This is a job that we are recruiting for on behalf of one of our customers. To apply, speak to Jack. He's an AI agent that sends you unmissable jobs and then helps you ace the interview. He'll make sure you are considered for this role, and help you find others if you ask. Machine Learning Research Scientist
Salary: $120k-180k + Equity
Company Description: Deep tech AI research startup
Job Description:
Join a pioneering deep tech AI research startup as a Machine Learning Research Scientist. You'll design, build, and test advanced protein language models, driving innovation from theoretical concepts to practical implementation.
This role demands a strong mathematical foundation and a passion for impactful, mission-driven research in a fast-paced, early-stage environment, collaborating closely with lab teams to create groundbreaking proteins. Location: San Francisco, CA, USA
Why this role is remarkable:
• Lead the design and implementation of novel protein language models, pushing the boundaries of AI in biotech. • Join a well-funded, seed-stage startup backed by top-tier VCs, poised for significant growth and impact. • Work in a highly mission-driven environment where your theoretical expertise directly contributes to changing the world.
What you will do:
• Design, build, and rigorously test in-house protein language models, implementing your own research ideas. • Drive the full research process from deep theoretical understanding to practical, high-quality implementation. • Collaborate closely with the lab team to translate model outputs into the best possible protein designs. The ideal candidate:
• Possesses a PhD in Computer Science, Statistics, Machine Learning, or Mathematics. • Has a strong publication record in theoretical Machine Learning or Mathematics (e.g., NeurIPS, ICML, ICLR).
• Demonstrates an extremely strong mathematical background, excellent coding skills, and a proactive research approach. To speak to Jack, our AI recruiter. Step 1. Visit our website
Step 2. Click 'Speak with Jack'. Step 3. Login with your LinkedIn profile. Step 4. Talk to Jack for 20 minutes so he can understand your experience and ambitions. Step 5. If the hiring manager would like to meet you, Jack will make the introduction.Apply Now
Apply Now
Salary: $120k-180k + Equity
Company Description: Deep tech AI research startup
Job Description:
Join a pioneering deep tech AI research startup as a Machine Learning Research Scientist. You'll design, build, and test advanced protein language models, driving innovation from theoretical concepts to practical implementation.
This role demands a strong mathematical foundation and a passion for impactful, mission-driven research in a fast-paced, early-stage environment, collaborating closely with lab teams to create groundbreaking proteins. Location: San Francisco, CA, USA
Why this role is remarkable:
• Lead the design and implementation of novel protein language models, pushing the boundaries of AI in biotech. • Join a well-funded, seed-stage startup backed by top-tier VCs, poised for significant growth and impact. • Work in a highly mission-driven environment where your theoretical expertise directly contributes to changing the world.
What you will do:
• Design, build, and rigorously test in-house protein language models, implementing your own research ideas. • Drive the full research process from deep theoretical understanding to practical, high-quality implementation. • Collaborate closely with the lab team to translate model outputs into the best possible protein designs. The ideal candidate:
• Possesses a PhD in Computer Science, Statistics, Machine Learning, or Mathematics. • Has a strong publication record in theoretical Machine Learning or Mathematics (e.g., NeurIPS, ICML, ICLR).
• Demonstrates an extremely strong mathematical background, excellent coding skills, and a proactive research approach. To speak to Jack, our AI recruiter. Step 1. Visit our website
Step 2. Click 'Speak with Jack'. Step 3. Login with your LinkedIn profile. Step 4. Talk to Jack for 20 minutes so he can understand your experience and ambitions. Step 5. If the hiring manager would like to meet you, Jack will make the introduction.Apply Now
Apply Now