Partner with interdisciplinary teams to develop novel AI strategies for antibody design, including test-time compute and multi-objective optimization.
Analyze validation results to iteratively improve design and evaluation methodologies.
Publish high-impact research to advance Absci's position as a thought leader in AI antibody design.
Absci is a clinical-stage biotechnology company using generative AI to design novel therapeutics. It is a global company with offices in the US, Switzerland, and Serbia, offering a collaborative and innovative culture with access to advanced compute resources and a wet lab.
Drive core research: Collaborate with the technical founder and team to develop cutting-edge modeling approaches and iterate rapidly.
Develop RL feedback loop: Design and implement post-training methods that translate high-throughput biological measurements into reward signals.
Bridge wet/dry lab: Partner with experimental team to ensure lab measurements and model learning are designed as a single cohesive system.
Astera is a private foundation on a mission to steer science and technology toward an abundant future. Projects supported by Astera operate like high-velocity startups, focusing on ambitious goals and attracting strong technical talent.
Drive product vision and strategy for AI and Lab Products at Absci.
Lead interdisciplinary teams of AI/ML researchers, engineers, and scientists to build delivery platforms.
Serve as bridge between AI Research and Biologics Discovery Technology teams for drug design and target identification.
Absci is a clinical-stage biotechnology company using generative AI to design novel therapeutics. It is a global company headquartered in Vancouver, WA, with offices in New York City, Switzerland, and Serbia.
Co-direct the research program in partnership with the founder to shape scientific vision and technical execution.
Develop RL feedback loops translating high-throughput biological measurements into reward signals for biological language models.
Perform hands-on engineering including architecting model training infrastructure and building, running, and debugging models.
Astera is a private foundation steering science and technology toward an abundant future by supporting projects as high-velocity startups. It operates unlike traditional non-profits, focusing on ambitious goals with strong technical talent and significant resources.
Work at the forefront of AI-powered drug discovery, advancing frontier research and end-to-end applications across discovery, design, and translation.
Collaborate with a cross-functional team of top-notch scientists, engineers, and drug hunters in the quest of scalable biomedical discovery.
Leverage an unparalleled array of infrastructures including one of the largest AI compute clusters in biopharma and industrial-scale phenomics.
Recursion is a clinical-stage TechBio company decoding biology to radically improve lives. They operate one of the largest AI compute clusters in biopharma and offer a vibrant, cross-functional environment with frontier research and real-world delivery.
Champion the development of Owkin's AI Scientist, an agentic system for target and drug discovery.
Lead projects to discover novel drug targets and biomarkers using multimodal patient data and machine learning.
Collaborate closely with biomedical teams and Owkin's Research Technology team to shape tools for pharmaceutical partners.
Owkin is an agentic AI company pioneering Biological Artificial Superintelligence to solve problems in biology. They offer a flexible work organization and a friendly, informal working environment with an international team.
Lead the scientific strategy for predictive toxicology and quantitative biology in drug discovery.
Develop advanced ML models using graph neural networks, transformers, and federated learning.
Collaborate with customers and partners to integrate AI solutions into real-world workflows.
The company is a partner of Jobgether, specializing in AI-powered solutions for life sciences and drug discovery. They are a remote-first organization with a highly skilled international team and a collaborative culture.
Experiment with modern neural network architectures and techniques driven by research
Design and implement machine learning perception solutions in new domains
Collaborate with AI Data Team, ML engineers, and Cloud infrastructure engineers
AMP applies AI-powered sortation to modernize recycling infrastructure and maximize waste value. Recognized as a top workplace in Colorado, AMP has hundreds of global deployments and is backed by top-tier investors.
Design advanced biology problems that challenge frontier AI systems in molecular biology, genetics, or computational biology.
Create deterministic tasks with exactly one correct answer and submit complete, verified solutions.
Use Python and bioinformatics tools to build problems involving experimental reasoning and computational analysis.
We create high-quality STEM training data for frontier AI models used by leading AI labs. We are a team of experts working to improve model reasoning in scientific domains.
Generative media synthesis: building the models behind features like Video Regenerate, lipsync, and video translation — photorealistic video and audio synthesis as production research, not demos.
Zero-shot voice and roomtone cloning: realistic cloning from only a few minutes of reference audio.
Multimodal understanding: vision-language systems that let Descript's agentic editing features reason over visual and audio content, plus the evals that balance quality against cost and latency.
Descript is building a simple, intuitive, fully-powered editing tool for video and audio — an editing tool built for the age of AI. They are a team of 150 with backing from top investors, and each new employee has a measurable influence on the company's direction.
Investigate tumor biology using clinical, histopathological, and spatial transcriptomics data to discover biomarkers predictive of treatment response.
Shape Bioptimus' mission to learn human biology dynamics by guiding model development and interpretability for clinical outcomes.
Collaborate with AI researchers and computational biologists to bridge biology, clinical practice, and foundation models.
Bioptimus builds the first universal AI foundation model for biology to accelerate biomedical innovation. With $75M+ funding and a world-class team, this fast-growing Paris-based startup is backed by leading VCs.
Participate in and lead the entire biosignal-based algorithm development lifecycle for medical devices.
Enhance internal deep learning and machine learning tools to boost team efficiency and enable rapid experimentation.
Present results to key stakeholders and support client-facing projects to shape the impact of algorithms for customers.
Beacon Biosignals is transforming precision medicine for the brain by developing at-home EEG and cardiopulmonary platforms for clinical research and diagnostics. The company fosters a collaborative, diverse culture where scientific and cultural impact is driven by leading by example, curiosity, simplicity, and empathy.
Passionate about building AI models from the ground up and deploying them in production
Excited about joining early-stage startups and working directly with founders
Interested in shaping AI strategy and leading the development of AI-powered products
SignalFire partners with top early-stage startups shaping the future of technology. They have a portfolio of over 200 innovative companies across AI, cybersecurity, healthtech, fintech, developer tools, and enterprise SaaS.
Design, develop, and deploy machine learning and statistical models for forecasting and risk assessment.
Use experimentation and statistical methods to test product changes and improve customer experience.
Analyze large datasets to identify signals, engineer features, and inform model design.
Pipe is a financial technology company that provides a platform for businesses to access capital. It is a fully remote company with a culture of authenticity, humility, and excellence.
Assist in neurobehavioural recording and dataset annotation for model training.
Review and synthesize neuroscience literature to inform model features and experiments.
Analyze neural and behavioural data with Python and PyTorch to support model development.
Netholabs builds AI grounded in biological intelligence by recording petascale, high-resolution neurobehavioural data and training neural foundation models. They are a research-focused company with a collaborative culture.
Evaluate LLM architecture logic for technical accuracy and audit ML code and notebooks for efficiency.
Refine RLHF frameworks to align models with human intent and analyze model reasoning in complex chain-of-thought prompts.
Benchmark performance by conducting comparative testing between model outputs based on technical metrics.
Prolific connects researchers with a global pool of participants for collecting high-quality human data to train AI models. With over 35,000 users, they focus on ethical data gathering to advance AI capabilities.