Own and improve recommendation and search systems across feed, discovery, search, and content continuation surfaces.
Design, launch, and analyze recommendation/search experiments end-to-end, then use the data to iterate quickly.
Build user, content, creator, and session-level representations from behavioral signals.
Sekai is building the TikTok for mini apps — an AI-driven consumer platform where people create, remix, share, and play interactive content instantly. They are a Series A company backed by Khosla, a16z, Mayfield, and A*, with $30M raised to date, and are a remote-first team looking for ambitious, AI-native builders.
Run and benchmark open-source protein design methods on real Adaptyv targets, validated against experimental data from our wet lab.
Design binders for internal R&D campaigns, and track experimental performance across success rate, hit rate, kinetics, and developability.
Build computational tooling around the design pipeline: structure prediction, filtering, and ranking, to triage large design pools down to candidates for synthesis and characterization.
Adaptyv is building an automated lab that lets AI agents run biology experiments. They are one of the fastest growing biotech companies, trusted by leading biopharmas and frontier AI labs.
Design, build, and maintain data pipelines to analyze complex behavioral health datasets.
Implement and fine-tune AI/ML models to identify clinical trends and predictive patterns.
Act as the technical voice on scientific papers, translating data methodologies into clear, publication-ready text.
Our client is a behavioral health technology company using data science and AI to improve mental healthcare outcomes. They are a growing team that values collaboration with clinical experts to drive impact.
Own clinical data quality across claims, EHR, and ADT, defining standards for structuring, normalizing, and validating data as modeling inputs.
Build and ship production ML/AI models for risk stratification, care gap prediction, and treatment effect estimation.
Apply health economics and outcomes methods to translate clinical data into decision-grade evidence aligned with CMS and NCQA standards.
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Waymark is a team of healthcare providers, technologists, and builders whose mission is to bring the best healthcare to people with Medicaid benefits. We bring support and technology-enabled care to help primary care providers keep Medicaid patients healthy. We are a remote team that values bold builders, humble learners, and focused urgency.
Own the development, operationalization and reporting of metrics for platform usability, adoption, and efficiency.
Assess data availability and quality, working with data engineers to ensure required datasets are extracted and transformed.
Analyze and visualize data to generate actionable insights for business partners.
Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. With over 1,400 firms in nearly 60 countries managing nearly $9 trillion in assets, Addepar is a large company with a culture focused on innovation and collaboration.
Lead data architecture, pipeline development, and data integrations on a generative AI platform to automate enterprise workflows.
Design and implement multi-zone enterprise data lakes on AWS S3 with batch and streaming ingestion pipelines.
Develop and deploy ML models on AWS SageMaker for use cases like lead scoring and predictive maintenance.
Capnexus is a comprehensive services provider specializing in designing, building, and supporting retail software. The company follows a build-as-a-service model with a culture built on outcomes and delivery, employing outstanding professionals across various platforms and verticals.
Own dbt and the semantic layer that defines how Fora measures its business in code.
Partner closely with the VP of Data & AI, Data Engineering, and Risk & Analytics.
Shape how a $4B+ originator understands its business through data modeling decisions.
Fora Financial is a technology-enabled provider of flexible financing to small and medium-sized businesses. The company has grown to nearly 200 employees and values a collaborative, partner-centric culture.
Lead and mentor a team of custodial data onboarding specialists, providing technical oversight and feedback.
Manage work allocation, prioritization, and execution to ensure high-quality project delivery.
Drive opportunities to improve tools, workflows, and automation for greater efficiency.
Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. It serves more than 1,400 firms in nearly 60 countries and manages nearly $9 trillion in assets.
Own end-to-end responsibility for building identity verification machine learning models from prototyping to production.
Establish key metrics, derive data-driven insights, and conduct experiments to assess product impact.
Collaborate with Product Managers, Data Scientists, and Engineers to develop state-of-the-art document detection and fraud detection algorithms.
Veriff provides AI-powered identity verification using image recognition, document detection, and fraud detection. With a diverse team in the US, UK, Spain, and Estonia and backing from investors like Accel and Y Combinator, they are dedicated to building a safer online world.
Own end-to-end analytical problems from framing through modeling and stakeholder rollout.
Build predictive and inferential models to improve product and operational decisions.
Partner with Product, Engineering, and Operations to define metrics and drive insights.
Focal Systems is the industry leader in retail AI solutions, using deep learning computer vision to automate and optimize brick and mortar retail. They are a tight-knit team with an ambitious mission, deployed at scale with top retailers worldwide.