Machine Learning Research Scientist

ZipRecruiter; New York (NY); On-site; USD 120,000 - 250,000; Full time

Job summary

Join a forward-thinking company as a Machine Learning Research Scientist, where you'll leverage generative AI to transform our understanding of biology. Collaborate with a dynamic team to develop innovative AI systems capable of complex biological reasoning. This role offers the opportunity to work on cutting-edge algorithms, conduct impactful research, and make a tangible difference in millions of lives. With a commitment to excellence and a culture that values creativity and ownership, you'll thrive in an environment that encourages new ideas and personal growth. If you're motivated by making a significant impact in AI and biology, this is the perfect opportunity for you.

Benefits

Competitive salary

Equity in a growing startup

Medical coverage

Dental coverage

Vision coverage

Feedback-focused environment

Creative work culture

Flexible work management

Qualifications

• 2 years of research experience or 4 years in Deep Learning or AI.
• Strong publication record in top-tier AI conferences.

Responsibilities

• Innovate on machine learning algorithms to enhance model performance.
• Design experiments to validate AI model capabilities.

Skills

Deep Learning

Artificial Intelligence

Python

Data Analysis

Problem-solving

Communication Skills

Education

Bachelor's degree in Computer Science

PhD in relevant field

Tools

PyTorch

TensorFlow

JAX

C/C++

Job description

Job DescriptionJob Description

The Role

Join us in creating biological reasoning and building foundational models for systems biology, harnessing generative AI to revolutionize our understanding and programming of biology from molecules to organisms. As a Machine Learning Research Scientist, you'll work alongside our founders and team members bridging biology and AI to develop AI systems capable of complex biological reasoning across multiple scales.

• You will innovate on cutting-edge machine learning algorithms to enhance model performance and biological understanding

• You will design and conduct experiments to validate the model's capabilities across a wide range of biological phenomena, from molecular interactions to complex cellular processes and beyond

• You will train and scale innovative AI models using large, diverse biological multi-modal datasets across distributed GPU clusters

• You will solve challenging AI research problems at scale, tackling key aspects such as model architecture and scaling, pre-training and fine-tuning strategies, and rigorous evaluation methods

• Your work will span various advanced generative AI architectures, including transformers, diffusion models and autoencoders, exploring and implementing these techniques to push the boundaries of biological AI

Make a real tangible impact on millions of lives by pushing the boundaries of generative AI.

No prior biological background required--we'll bring you up to speed on everything you need to know.

Who We’re Looking For

• You have a Bachelor's degree in Computer Science, Computer Engineering, Mathematics, Physics or a relevant technical field

• You have a PhD with 2 years of research experience or equivalent experience with 4 years of research or industry experience in Deep Learning, Artificial Intelligence or other relevant fields

• You have a strong publication record in top-tier AI conferences or journals (e.g., NeurIPS, ICML, ICLR)

• You are proficient in Python and have expertise in at least one major deep learning framework (PyTorch, TensorFlow, or JAX)

• You have researched and developed deep learning and generative AI methods

• You have experience with large-scale model training and optimization techniques

• You have a track record of solving complex research problems and translating research into practical applications

• You are comfortable working with large, diverse datasets and have experience in data analysis and visualization

• You exhibit a proactive approach to problem-solving, thinking beyond the specific task, taking ownership of challenges, and pride in solving them

• You have a mature mindset in ambiguous situations, helping to frame questions and seek clarity while making decisions in the face of uncertainty

• You have excellent communication skills and can clearly articulate complex technical concepts

• You are motivated by making a real impact and are committed to tackling problems of significant consequence with determination and creativity

Bonus Points

• You have experience applying machine learning to biological or chemical problems

• You have knowledge of physics, molecular biology, chemistry, computational biology, bioinformatics, or cheminformatics or related fields

• You have experience with multi-modal learning

• You have contributed to open-source machine learning projects

• You have experience in developing efficient code in C/C++

Our Values

️ Heart: We foster a culture of ownership. We are assembling a team of individuals who are passionate and take pride in their contributions.

Excellence: We have an unwavering commitment to excellence and continuously challenge ourselves to reach the highest standards.

Practicality: We value practicality and results-oriented thinking. We are committed to making a tangible impact on the lives of our patients and the broader community.

Honesty: We place a high value on honesty and directness. We firmly believe in addressing issues as they arise, in an open and transparent manner.

Fun: We believe that life is too short to not have fun. That's why we're committed to creating an engaging and enjoyable work environment. Our goal is to create a workplace that is fun, rewarding and fulfilling.

What We Offer

• We encourage new and different ideas, creativity and contrarian thinking.

• You own your day-to-day management. What we care about is thatwe all hit our milestones.

• Competitive salary and equity in a growing, well-funded startup

• Excellent medical, dental, and vision coverage

• Healthy feedback focused environment to help you strive - leadership will have high expectations, regularly share constructive feedback, support you and help you grow, and welcome receiving feedback and ideas from you

• We are looking forward to further shaping our culture with early team members. You'll have a chance to make your mark!

Compensation Range: $120K - $250K