At Inceptive, you will drive forward development that could help billions of people. To accomplish this, you will be part of a collaborative, antedisciplinary team building our biological software.

The design space of biomolecules is unimaginably vast — far beyond what can be explored experimentally. Yet within this space lie molecules with properties essential for new medicines. Our machine learning models learn to design therapeutic biomolecules with specific, desirable functions.

We advance the state of the art in molecular design by training large-scale foundation models and developing cutting edge generative approaches. The models learn from diverse heterogeneous datasets and are refined through focused fine-tuning and feedback from experiments. Key to progress is a team that combines exceptional machine learning expertise with thorough domain understanding.

You will collaborate closely with other machine learning researchers and engineers, as well as computational and experimental biologists, to advance these models and translate their capabilities into real therapeutic designs.

Your Mission, should you choose to accept it

Embody our vision of an antedisciplinary environment and embrace learning about areas outside of your traditional area of expertise
Develop, implement, train, and iteratively improve state-of-the-art models for biomolecule design
Analyze, visualize, and communicate results to support team efforts in improving models and data
Create, deploy, and refine tools for efficient, reliable machine learning experimentation and production
Work with biologists to collect data for the training and evaluation of generative models of biomolecules
Provide mentorship and technical direction to team members as appropriate

Qualifications

3+ years of hands-on experience developing ML models
Demonstrated track record of implementing, training, improving advanced machine learning models
Highly capable programmer fluent in Python ecosystem and PyTorch or similar deep learning framework
Availability to work with team members across US and Europe, with meetings starting at 8am PT and ending at 7pm CET
Readiness to travel several times a year for company retreats and business events
We value the benefits of in-person collaboration and expect candidates to primarily work from our office locations

Preferred technical skills

PhD in AI/ML, computer science, computational biology, physics, or a related field, or equivalent practical experience (e.g., industry experience, research, or advanced technical expertise)
Strong skills in designing, executing, and documenting machine learning experiments
Practical experience with modern generative models
Strong software engineering skills, in particular for data processing, evaluation of ML models, compute cluster orchestration
Experience with large-scale model training, foundation models, model parallelism, multi-node training
Experience with bio sequence data and datasets — various genomic and protein data, sequencing, functional assays, etc
Knowledge of biochemistry, molecular/cell biology, and drug development

Compensation

$200K – $275K + Bonus + Equity

What we offer

A competitive compensation package
30 days paid vacation per year
Comprehensive health insurance for US based Beginners
401K with company match for US based Beginners and Direktversicherung for German Beginners
Quarterly company-wide retreats
Monthly wellness benefit
Budget for multiple visits per year to our offices in Berlin, Palo Alto or Switzerland
Learning & Development budget to attend conferences, take courses, or otherwise invest in your professional growth, as well as access to the Learning & Development platform EdX and Hone
A buddy to help you get settled

*Varies by country and does not apply to internships

At Inceptive, we are creating tools to develop increasingly powerful biological software for the rational design of novel, broadly accessible medicines and biotechnologies previously out of reach. Our team brings together vast expertise in molecular biology, machine learning, and software engineering, and we are all working towards becoming antedisciplinary, meaning we deepen the knowledge we have in our area of expertise while also expanding our knowledge of completely new fields.

We approach our goals with a Beginner's mind, humbly and with fresh eyes, and aim to become the pioneers of a new discipline rooted in biology as much as in deep learning, whose impact will be realized together with out-of-the-box thinkers in business and entrepreneurship, defying established categorizations. We are building a company culture centered around growth, learning, and discovery. We believe in humility and open-mindedness in how we approach each other, as well as problems we don't yet have solutions for.

It is the policy of Inceptive to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, age, disability, marital status, citizenship, national origin, genetic information, or any other characteristic protected by law. Inceptive prohibits any such discrimination or harassment.

Inceptive is also committed to welcoming and providing accommodations to people with disabilities. Please let us know if you need any accommodations throughout your application process.

Foundation and generative models for biomolecules