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.
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.
North America
Unlimited PTO
12w maternity
8w paternity
Lead state-of-the-art research and development in AI/ML, advanced statistical modeling, and applied mathematics to solve security problems.
Develop novel AI workflows and models to address Ent's security challenges, incorporating and advancing current SOTA approaches.
Collaborate with the team to invent frameworks and theoretical grounding while thinking outside the box to combine multiple techniques.
Ent is an intent-aware workspace security platform that secures human and AI-driven work by understanding intent and intervening at the moment of risk. Founded by former RiskIQ co-founders, backed by leading VCs, and in production with Global 2000 customers, the company values a customer-first, humble, and urgent culture.
Design, develop, and deploy ML models, including large language models, for various NLP tasks.
Collaborate with cross-functional teams to gather requirements, define architectures, and iterate on model development.
Stay up-to-date with latest research and contribute to best practices for responsible ML development.
Reddit is a community of communities built on shared interests, passion, and trust, hosting the most open and authentic conversations on the internet. With over 100,000 active communities and approximately 126 million daily active users, it is one of the internet's largest sources of information, fostering a culture of authenticity and community.
Lead a team to build, scale, and optimize the ML infrastructure powering drug discovery.
Collaborate with ML engineering, data science, and research teams to deliver scalable solutions.
Mentor and coach team members in MLOps, distributed computing, and infrastructure engineering.
Recursion is a clinical-stage TechBio company decoding biology to develop medicines. With a focus on AI and machine learning, the company fosters a culture of bold integrity and cross-functional collaboration.
Lead applied AI projects from concept to impact, building and deploying ML/GenAI solutions across product, engineering, and security teams.
Act as an internal AI consultant, scoping problems, evaluating approaches, and advising on best practices for generative technologies.
Design experiments, build models for anomaly detection and fraud analysis, and bridge research to production via scalable APIs and tools.
Sonatype is a software supply chain management company that invented componentized software development and pioneered the category. Trusted by over 2,000 organizations, including 70% of the Fortune 100, and 15 million developers, the company fosters innovation, AI/ML adoption, and an inclusive culture.
Lead complex modeling and analytical initiatives as a technical authority.
Drive modeling strategy and raise technical standards across the organization.
Leverage deep learning and LLMs with traditional methods to deliver real impact.
Gradient AI is a decision-intelligence platform for the insurance industry, using data to reveal risk and improve performance. Backed by $56M in Series C funding, it's a fast-scaling startup with a fun, team-oriented culture.
Lead analysis and interpretation of cancer's molecular signatures, guiding model development for biological changes.
Execute rigorous computational analyses on data from high-throughput molecular assays including sequencing and protein quantitation.
Partner with molecular biologists and development scientists to refine experiments and turn research models into products.
Freenome is a biotechnology company developing blood tests for early cancer detection. We are a growing organization dedicated to changing the landscape of cancer, with a collaborative and diverse team.
Train, evaluate, and iterate on ML models for customer feedback, including custom fine-tuning pipelines.
Build and maintain LLM-powered features like retrieval pipelines and insight agents.
Design and run robust evaluation frameworks to measure model performance.
Chattermill helps large brands like Uber, Amazon, and Wise put customers at the center using AI. They offer a flexible, trust-based culture with a choice-first environment.
Conduct in-depth research into Machine Learning, Deep Learning, and Generative AI.
Identify gaps, limitations, and opportunities in existing research and technologies.
Stay up to date with the latest research papers, models, architectures, and techniques.
ImagineArt is a fast-growing generative AI company building next-generation AI-powered creative tools. We are a small, ambitious team with a research-driven culture exploring cutting-edge AI technologies.
Define and execute AI/ML strategy aligned with product and business priorities.
Lead high-performing teams across machine learning, applied AI, data science, and research.
Oversee production ML systems, model evaluation, and responsible AI standards.
SignalFire is a VC firm partnering with early-stage startups across AI, cybersecurity, healthtech, fintech, developer tools, and enterprise SaaS. With 200+ portfolio companies, they connect exceptional leaders with exclusive startup opportunities.
Conduct hands-on adversarial testing across AI models, applications, and data pipelines to identify vulnerabilities.
Perform advanced red-team assessments including jailbreaks, guardrail bypass, and prompt injection analysis.
Produce detailed vulnerability reports and collaborate with AI safety and engineering teams to improve security.
This company specializes in AI security research and adversarial machine learning. It is a remote-first organization with a collaborative culture focused on technical impact and professional growth.
Develop scalable ML pipelines across the full lifecycle and champion responsible AI for content understanding models and signals in production.
Provide technical leadership and mentorship to ML engineers and software engineers, setting technical standards and conducting design reviews.
Build evaluation and quality monitoring systems for content understanding signals using state-of-the-art LLM-as-judge practices.
Reddit is a community of communities built on shared interests, passion, and trust, home to the most open and authentic conversations on the internet. With 100,000+ active communities and approximately 126 million daily active unique visitors, it is one of the internet's largest sources of information.
Lead development of Dyno’s external-facing AI platforms (e.g., design.dynotx.com)
Develop field-relevant benchmarks for agentic tasks in biological design
Build and improve AI-driven workflows that integrate models, data systems, and experimental feedback
Dyno Therapeutics is a biotech company that develops AI-driven genetic technologies to transform patient lives. They are a high-energy, high-impact team of world-class scientists and engineers working at the intersection of AI and genetic medicine.
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.
Design and develop ML/AI models including predictive and LLM-based systems.
Optimize algorithms and perform data cleaning, feature engineering, and model validation.
Collaborate with clients and internal teams to translate results into insights.
Digica is an AI and software company delivering intelligent software across AI domains, focusing on deep learning and computer vision. They work with global companies and startups, and foster a growth-oriented, innovative culture.
You will leverage advanced ML models to detect suspicious user behaviors while minimizing impact on genuine customers.
You will adapt quickly to changing fraud trends to keep detection systems performant over time.
You will design machine learning solutions that scale globally.
We're on a mission to make money work for everyone, offering personal and business bank accounts, savings, investments, and more. We've grown significantly in the UK over the last 10 years and have a strong culture of innovation and customer focus.
Fine-tune and optimize Large Language Models for healthcare and life science applications.
Develop and enhance RAG pipelines to improve AI-powered information retrieval.
Collaborate with cross-functional teams to deploy deep learning solutions for complex healthcare challenges.
The company develops AI-powered healthcare solutions using Large Language Models. They foster a highly collaborative and innovation-driven environment with a diverse international team.
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.