Drive innovation across the machine learning ecosystem and architect advanced ML solutions.
Mentor junior ML engineers and lead complex ML initiatives at scale.
Own models in production including deployment, monitoring, drift detection, and retraining.
Xsolla is a global commerce company providing tools and services to help video game developers fund, distribute, market, and monetize their games. Headquartered in Los Angeles, California, Xsolla has helped over 1,500 game developers grow their businesses worldwide.
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 and grow a team of machine learning engineers, guiding career development, managing conflicts, and nurturing a positive work environment.
Run a portfolio of experiments, balancing near-term improvements with longer-horizon innovation bets, and make decisions on hypothesis resourcing.
Partner with Risk stakeholders to set direction from data, own delivery cadence, and represent team results to engineering leadership and the wider company.
Signifyd helps merchants grow their businesses by building trusted customer relationships through advanced technology that eliminates fraud and creates frictionless shopping experiences. The company is trusted by thousands of leading merchants across more than 100 countries, securely processing billions of transactions annually, and fosters a culture of commitment, empathy, and creativity.
Design, build, and deploy machine learning models for cybersecurity use cases like threat detection and risk scoring.
Own the full model lifecycle from data preparation to production deployment, working closely with engineering and product teams.
Build preprocessing and feature engineering pipelines, and monitor model performance with continuous improvement.
SpyCloud transforms recaptured darknet data to disrupt cybercrime. With over 250 employees, it is home to cybersecurity experts protecting businesses and consumers from stolen identity data.
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.
Build ML models for production use and perform in-depth exploratory data analysis to scope opportunities.
Suggest and implement new features to improve model performance and business logic.
Translate client business problems into ML problems and build scalable models for claim time series forecasting and NLP.
EvolutionIQ delivers state-of-the-art technology that helps insurance claims teams make claims handling more accurate, fair, and efficient. The company is experiencing massive growth and has been named one of Inc.'s Best Workplaces 3 years in a row and Built In's Best Places to work in 2025 and 2026.
Build, train, and deploy machine learning models and data pipelines using Python, pandas, NumPy, and scikit-learn, ensuring scalability and reliability in production.
Design, implement, and continuously improve LLM-powered applications and Retrieval-Augmented Generation (RAG) pipelines, including prompt engineering, embedding strategies, and vector store integration.
Conduct exploratory data analysis and design data visualizations to uncover trends and communicate key metrics to both technical and non-technical stakeholders.
Great Gray Group is a leading independent provider of trustee and administrative services for Collective Investment Trusts, with over $370 billion in assets under management. They are a high-growth organization backed by Madison Dearborn Partners, fostering a culture of collaboration, innovation, and continuous improvement.
Drive end-to-end ML systems for forecasting products, from scoping and feature engineering to deployment and monitoring.
Build AI-assisted development workflows using tools like Claude Code to automate tasks with quality gates.
Partner with cross-functional teams to translate business needs into technical roadmaps and measurable impact.
Penguin Random House is the world's leading trade publishing company, with nearly 300 imprints and brands. We are a diverse international community of nearly 300 publishing brands committed to quality and innovation.
Design, train, and improve large-scale machine learning models for recommendation and personalization, leveraging modern deep learning architectures.
Own end-to-end delivery of major ML system components, from problem framing to production rollout, with cross-functional partners.
Optimize distributed training, model efficiency, and online inference performance while ensuring low-latency, high-throughput production systems.
Reddit is a community of communities built on shared interests, passion, and trust, hosting authentic conversations. With over 100,000 active communities and about 130 million daily active users, Reddit is one of the internet's largest sources of information.
Design rigorous experiments to test hypotheses and validate ML solutions, from setup through statistical analysis.
Lead end-to-end ML development including research, model training, and integration into business applications.
Translate complex technical concepts for stakeholders and track advancements in ML to improve promotional writing.
Netflix connects global stories with audiences worldwide through a streaming service offering TV series, documentaries, feature films, and games. We are a large, innovative company with a unique culture that values inclusion, creativity, and cutting-edge technology.
Develop and iterate on underwriting prediction models using a mix of approaches for tabular and sequential data.
Build and scale feature pipelines and training datasets from proprietary and third-party signals.
Prototype new modeling ideas and features, run offline experiments, and drive the best-performing approaches into production.
Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest. The company is a remote-first, publicly traded organization with a strong culture focused on people come first.
Develop and deploy advanced ML models for illness detection using time-series analysis from wearable health data.
Drive commercialization of algorithms in collaboration with cross-functional teams including scientists, product managers, and engineers.
Independently conduct exploratory research to identify novel health sensing features, scoping projects from concept to scalable products.
Oura empowers individuals to own their inner potential through their award-winning Oura Ring and app, providing insights on sleep, activity, and readiness to over 2.5 million users. They foster a supportive, inclusive culture with core values guiding their team, and have offices in San Francisco and San Diego.
Directly manage a team of applied ML scientists, coaching them through model development and technical decision making.
Own execution for your area, including priorities, delivery, and results, while remaining hands-on with code review and production systems.
Partner with senior leadership, Product, Engineering, and Risk to prioritize work and deliver impactful ML solutions.
SentiLink provides innovative identity and risk solutions, building the future of identity verification in the United States. They are a fast-growing company backed by top investors, with offices across the US and India, and have earned recognition from major media outlets.
Collect and clean data from various sources, perform exploratory data analysis.
Develop and implement machine learning models in collaboration with senior data scientists.
Communicate findings through reports, dashboards, and visualizations to stakeholders.
Fulton Bank is a financial services company offering banking solutions. It promotes a culture of continuous learning, work-life integration, and inclusion, with a digitally enabled work environment.
Define the technical vision and strategy for the machine learning platform supporting ML and generative AI development.
Set reference architectures and standards for scalable data and ML pipelines, MLOps practices, and production reliability.
Provide technical leadership and mentorship across engineering teams to raise the bar for ML systems.
PointClickCare provides cloud-based healthcare software solutions. With a large engineering team that values collaboration and innovation, they foster a culture of technical excellence and mentorship.
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.
Partner with the Business Unit Lead to identify gaps in decisioning performance and implement solutions.
Build production machine learning models to identify fraud in collaboration with other data scientists.
Communicate complex ideas to a variety of audiences, from Customer Success to Sales.
Signifyd helps merchants confidently grow their businesses by building trusted relationships with customers. Their advanced technology creates frictionless shopping experiences, and they are trusted by thousands of merchants across over 100 countries.
Design, develop, validate, and evolve analytical and predictive models for pattern detection, anomaly identification, and risk classification.
Operationalize AI solutions for automation of recurring analyses, detection of deviations, and evaluation of large volumes of structured and unstructured data.
Participate in the full model lifecycle from data exploration to deployment, monitoring, and evolution in production environments.
CI&T helps large companies transform AI potential into real business impact with AI Deployment, AI-native execution, and tech-integrated business solutions. With 30 years of experience and 8,000 employees across 25 countries, they foster a culture of continuous learning and innovation.
Develop and deploy deep learning models to predict therapeutic intervention effects.
Design experiments and collaborate with cross-functional teams including biologists and wet lab scientists.
Validate models and communicate results to diverse audiences to drive informed decision-making.
Absci is a clinical-stage biotechnology company advancing novel therapeutics using generative AI. It is a global company with offices in the US, Switzerland, and Serbia, fostering a collaborative and innovative culture.