Build and productionize LLM and NLP models across retrieval, summarization, classification, and generative tasks.
Design and implement scalable ML services and inference pipelines in Python using modern ML frameworks.
Translate complex NLP and LLM product requirements into structured engineering plans with clear milestones.
Loopio provides a workplace that recognizes the advantages of working flexibly, operating as a remote-first company. They have established hub regions around the world and foster a supportive culture with opportunities for connection.
Own ML powered features from design through deployment, partnering with product, design, and engineering to scope work and define success metrics.
Calendly's product enables millions of people to coordinate easily. They are experiencing exciting product growth, making it a great time to consider joining their journey.
Ideate, develop and productionalize AI solutions for healthcare payer use cases.
Design and implement state-of-the-art AI models and algorithms using Python and GCP Vertex AI.
Collaborate with product teams to identify opportunities for applying AI techniques to solve business challenges and automate processes.
BlueCross BlueShield of Tennessee is the largest health benefit plan company in Tennessee, helping Tennesseans find their own paths to good health since 1945. They empower their employees to thrive both independently and collaboratively, creating a collective impact on the lives of their members.
Define requirements with stakeholders to solve problems.
Develop machine learning models for various data types.
Automate complex data engineering and analytic pipelines.
Striveworks helps organizations harness the power of artificial intelligence to solve real-world national security and business challenges by serving as the command center between data, models, and business outcomes. Founded by data scientists and engineers, Striveworks set out to make the journey from deployment to ongoing optimization simple and effective.
Translate complex business problems into solutions that leverage end-to-end, production-level machine learning systems
Develop, iterate on, and productionize machine learning models, owning both model logic and supporting systems.
Implement and own backend pricing services and APIs consumed by the Lime App.
Lime is a global shared micromobility business, operating in close to 30 countries. They are on a mission to build a future where transportation is shared, affordable, and carbon-free. They consider themselves an equal opportunity employer with a diverse and inclusive culture.
Design, build, and maintain machine learning model productionization infrastructure.
Streamline model training, validation, and deployment in collaboration with the data science team.
Implement robust monitoring and alerting for model performance, drift, and data quality.
The Athletic delivers in-depth coverage of sports, teams, and athletes. Their newsroom of 500+ full-time staff covers hundreds of professional and college teams across North American markets and football clubs.
Design, develop, and deploy robust ML systems and multi-model AI agents that solve real-world retail challenges.
Lead the entire lifecycle, including prototyping, deployment, monitoring, and maintenance using modern CI/CD and containerisation practices.
Build high-performance data pipelines (ETL/ELT) for both training and real-time inference, ensuring our systems are scalable and reliable.
EDITED is the world’s leading AI-driven retail intelligence platform. They empower the world’s most successful brands and retailers with real-time decision making power. Their environment is dynamic and supportive, encouraging team members to take initiative, innovate, and continuously grow.
Research and develop Machine Learning models and optimize them for scaled production usage.
Work with colleagues to explore ongoing product issues and recommend innovative ML/AI based solutions.
Work with subject matter experts to curate and generate optimal datasets following responsible data collection and model maintenance practices.
Turnitin is a recognized innovator in the global education space, partnering with educational institutions to promote honesty, consistency, and fairness across all subject areas and assessment types. They are a global organization with team members in over 35 countries, offering a remote-first culture which empowers team members to work with purpose and accountability.
Design and execute advanced AI/ML models for integration into internal tooling and external client-facing products.
Lead experimentation efforts: define hypotheses, design interpretable tests, analyze results, and communicate findings effectively.
Serve as the technical SME for GenAI/LLM-powered tools, from foundational architecture to model optimization and deployment.
Truelogic is a leading provider of nearshore staff augmentation services headquartered in New York, delivering top-tier technology solutions to companies of all sizes. Their team of 600+ highly skilled tech professionals, based in Latin America, drives digital disruption by partnering with U.S. companies.
Work in a small, cross-functional team of 3-4 people focused on AI/ML systems.
Take ownership of projects from ideation to deployment with a high degree of autonomy.
Collaborate with product managers and stakeholders to understand customer pain points and deliver impactful solutions.
TriumphPay is building the transportation payments network for the future. Their software touches a combined $37.1B in annualized freight volume. They foster an environment that provides exceptional customer service, entrepreneurial spirit, and building successful partnerships with their clients.
Build and optimize data pipelines and backend services to process device and behavioral data in real time.
Develop and deploy ML models for fraud detection, ensuring they run reliably and efficiently in production.
Turn raw data into production-ready features that feed our fraud detection systems.
Sardine is a leader in fraud prevention and AML compliance. Their platform uses device intelligence, behavior biometrics, machine learning, and AI to stop fraud before it happens. Over 300 banks, retailers, and fintechs worldwide use Sardine; they have a remote-first work culture, valuing performance over hours and hiring self-motivated individuals.
Lead hands-on development of EnableComp’s predictive intelligence platform.
Own ML model development for work prioritization, business insights, and strategic decisions.
Architect and build the platform before scaling a team.
EnableComp solves complex claims. With Complex Revenue Intelligence™ (CRI), they help hospitals recover $3 billion annually, recognized as Black Book’s #1 Specialty RCM provider and a Top Workplaces honoree, with a SOC 2 Type II and HITRUST e1-certified platform.
Drive automation and workflow improvements through innovative LLM solutions.
Work closely with and assist clinical editors and copy editors in content creation.
Develop ETL/data pre-processing workflows to structure and manage clinical content.
MCG leads the healthcare community to deliver patient-focused care. They have a mission-driven team of talented physicians and technical experts developing evidence-based content and innovating products to accelerate improvements in healthcare.
Drive the development of next‑generation foundation models for wearable biosignals that power Oura’s health sensing features.
Design and validate deep learning approaches for large‑scale wearable time‑series and running rigorous evaluations on research and clinical datasets.
Partner with cross‑functional teams to translate evidence into shipped features and scientific publications.
Oura's mission is to empower every person to own their inner potential. Their award-winning products help their global community gain a deeper knowledge of their readiness, activity, and sleep quality by using their Oura Ring and its connected app. Oura is a quickly growing company focused on helping people live healthier and happier lives, and they ensure that their team members have what they need to do their best work — both in and out of the office.
Design and implement knowledge distillation pipelines.
Distill large foundation models into smaller, faster, and cheaper models for inference.
Run and analyze large-scale training experiments to evaluate quality, latency, and cost tradeoffs.
They are a small, senior team with a strong research and engineering culture, offering high ownership and direct impact on product and roadmap. The company values being remote-friendly and an async-first environment.
Develop, implement, and validate machine learning and agentic flows.
Drive innovation in modeling approaches while balancing accuracy, efficiency, and interpretability.
Lead the design of benchmarking frameworks, evaluation tools, and metrics.
Federato is on a mission to defend the right to efficient, equitable insurance for all. They are AI-native platform that spans the full policy lifecycle. They move fast, are eager to listen to our users, take a first principles approach to solving problems, and value learning.
Conduct cutting-edge machine learning research, building and training large language models.
Focus on research projects aimed at expanding the frontier of knowledge in language modelling and associate areas such as evaluation, multimodal models, optimisation etc.
Disseminate your research results through the production of publications, datasets, and code.
Cohere is dedicated to scaling intelligence to serve humanity by training and deploying frontier models for developers and enterprises, building AI systems for content generation, semantic search, and more! They foster a culture of hard work, valuing diverse perspectives and contributions to model capabilities and customer value.
Explore data and real-world cases to develop signals and machine learning models that identify and reduce platform risk.
Partner with cross-functional teams to design practical ML solutions that fit real workflows.
Prototype, train, and iterate on machine learning models, using a mix of established and novel techniques.
Patreon is a media and community platform where over 300,000 creators give their biggest fans access to exclusive work and experiences. They aim to fund the creative class and have generated over $10 billion for creators with millions of memberships.
Support the full operational lifecycle of both traditional machine learning systems and emerging generative AI driven applications.
Enable scalable training, evaluation, deployment, and monitoring for a wide range of ML and GenAI workloads.
Manage model upgrades, framework versions, regression testing, maintenance tasks and maintaining performance across systems and solutions.
Achievers' employee recognition and rewards platform empowers organizations to build cultures where people feel seen and valued, everyday. They're a team of passionate, thoughtful builders with more than 4.3 million users across 190 countries, who care deeply about their product, their customers, and each other.