Build and maintain scalable machine learning solutions in production.
Train and validate deep learning and statistical models for real-world applications.
Partner with product managers and engineers to define requirements and drive ML roadmap.
Twilio is a cloud communications platform that empowers businesses to build personalized customer experiences through APIs. With thousands of employees worldwide, the company champions a remote-first culture focused on inclusion and innovation.
Build models and data products that go from prototype to production, including generative models and subscriber-behavior predictions.
Dig into large, messy datasets to uncover trends and patterns, and contribute to the core Python data science library.
Build LLM-powered pipelines and agents, with comprehensive evals to validate model responses.
DevSavant is an operating partner for startups and growth-stage companies, helping them turn ambition into execution. With over 8 years in venture-backed ecosystems, they are trusted to accelerate delivery and scale teams efficiently.
Assist in collecting, cleaning, processing, and analyzing structured and unstructured datasets.
Develop and maintain data models, algorithms, and analytical solutions under guidance.
Apply statistical methods and machine learning techniques to solve business problems.
The company works on innovative digital products and technology-driven projects. It has a collaborative, global work environment with exposure to diverse teams and perspectives.
Work collaboratively with HCD lead to analyze data, form insights and predictions for CMS price transparency initiatives.
Build predictive models, AI tools, and data visualizations to support product design and automate processes.
Perform data mining, feature selection, and anomaly detection using machine learning techniques in an agile environment.
Bellese is a mission-driven digital services company pioneering innovative technology solutions in civic healthcare. It fosters a collaborative, remote-first culture and invests in employee well-being with comprehensive benefits.
Develop, train, and evaluate machine learning models to support product objectives.
Prepare, clean, and analyze datasets for model training and validation.
Deploy, monitor, and improve machine learning models in production environments.
The partner company develops AI-powered products to solve real-world challenges. They offer a fully remote, flexible work environment with a focus on innovation and collaboration.
Research multifamily datasets to identify opportunities for new product features.
Partner with product managers and engineers to design data-driven capabilities for ApartmentIQ Invest Pro.
Apply LLMs and AI techniques to automate workflows and unlock insights from market data.
ApartmentIQ builds industry-leading martech and data products for the PropTech space. They are a profitable, growth-stage company with a fully remote team of over 100 employees across the U.S., known for their no a**holes policy and high performance culture.
Collaborate on innovative data solutions with a team of consultants, data scientists, and engineers.
Manage end-to-end project value chain including data collection, analysis, ML models, and production.
Communicate technical concepts to business stakeholders and prioritize tasks with deadlines.
Artefact LatAm is a data consulting firm that helps clients transform their data strategy using advanced analytics and AI. They focus on building a diverse and inclusive culture where all voices are heard and valued.
Assist engineering teams in identifying and solving challenges related to AI development, focusing on improving efficiency and usability.
Support the development and optimization of AI infrastructure, including pipelines for model training and evaluation.
Contribute to the development and improvement of centralized AI services, such as document parsing, search tools, and integration of large language models (LLMs).
Sprinto is an AI-native GRC platform that helps organisations manage risks, audits, vendor oversight, and continuous monitoring from a single connected platform. With a team of 350+ employees serving 3,000+ customers across 75+ countries, it is backed by top-tier investors such as Accel, Elevation, and Blume Ventures.
Design, implement, and maintain ML-driven services and data workflows in Python.
Apply software engineering best practices, including clean code, testing, CI/CD, and documentation.
Deploy and operate ML services on GCP, using tools like Cloud Run, GKE, and BigQuery.
CertifyOS builds the data infrastructure that powers modern healthcare, automating provider licensing, enrollment, and credentialing via an API-first platform. They are backed by leading investors and built by a team with deep experience in provider data systems, emphasizing authenticity, accountability, and collaboration.
Own end-to-end ML system execution including data pipelines, training workflows, evaluation systems, inference architecture, and deployment.
Fine-tune and adapt models using state-of-the-art methods such as LoRA, QLoRA, SFT, DPO, and distillation.
Architect scalable inference systems, balance latency, cost, and reliability, and deploy production-grade ML solutions.
Gina's Tech Jobs is a recruiting and staffing company that helps firms hire technical talent. They are a small agency focused on IT roles, fostering a high-trust, collaborative environment.
Own production data products that directly power business decisions, from marketing automation to core semantic models.
Design and analyze experiments with Product and Growth teams to define metrics and recommend next steps.
Solve ambiguous business problems by exploring data, identifying opportunities, and translating insights into impact.
Smallpdf makes document management simple for everyone, from PDF conversion to e-signing. With over 1.1 billion users globally and 17 million monthly users, it's one of Europe's largest product-led tech companies, fostering a culture of growth and collaboration.
Design, build, and deploy production-grade machine learning and AI systems for customer-facing analytics and automation.
Develop and operationalize end-to-end ML workflows from data preparation to model monitoring.
Collaborate with Product and Engineering teams to identify high-impact use cases and deliver AI-powered data products.
Boulevard provides a client experience platform for appointment-based self-care businesses, empowering customers to give clients magical moments. The company values diversity, experimentation, and simplicity, and celebrates diverse backgrounds.
Build and iterate on consumer-facing AI features powered by large language models (LLMs) and generative AI systems
Collaborate with engineers across the AI stack including prompt engineering and agentic workflow optimization
Run structured experiments and monitor production AI systems to optimize latency, cost, and scalability
Quora is a global knowledge sharing platform with over 300M monthly unique visitors, connecting people to share insights and learn. Poe provides a platform for users to chat and build with AI language models. They are a remote-first company with a culture rooted in transparency and experimentation.
Develop and refine predictive models and AI-driven insights to enhance intelligence and operational planning.
Implement Agile methodologies, including sprint-based development and quarterly cost reviews.
Integrate customer feedback and document model performance and operational impact.
SOSi is among the largest private, founder-owned technology and services integrators in the defense and government services industry. They deliver tailored solutions to enable national security missions worldwide, with a focus on government clients.
Develop, deploy, and maintain machine learning models in production environments using AWS SageMaker or similar platforms.
Perform exploratory data analysis, feature engineering, and build data pipelines to support scalable ML workflows.
Monitor production models, address performance issues, and collaborate with engineering and business stakeholders to deliver data-driven solutions.
Google is a global technology company that develops products and services to organize information and make it universally accessible and useful. The company is a large multinational with a culture focused on innovation, collaboration, and data-driven decision-making.
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.
Develop and refine features for deep learning models using large-scale customer and behavioral datasets.
Implement model architecture changes informed by recent academic research from venues like NeurIPS.
Optimize model training pipelines for efficiency and scalability while collaborating with client teams.
OpenTeams builds AI that empowers, offering energy-efficient and cost-effective models with a commitment to open source. The company values freedom, teamwork, accountability, and quality, and reinvests 3% of profits into the open-source community.
Lead a high-performing AI and data science team to develop and deploy AI-driven security systems.
Define and execute the technical roadmap for AI, ML, and data systems, ensuring robust performance and scalability.
Manage the entire lifecycle of data pipelines and AI models, integrating with platforms like AWS Bedrock and OpenAI.
Bugcrowd is a crowdsourced security platform that unites organizations with a global network of hackers to identify vulnerabilities. The company is backed by prominent investors and fosters a collaborative, inclusive culture with a diverse team of professionals.
Support day-to-day projects across Marketing, Sales, Product, Engineering, or Operations teams.
Conduct research, gather data, and synthesize findings to support strategic decisions.
Take ownership of at least one project and present outcomes to the team.
Impiricus is an AI-powered HCP Engagement Engine connecting life sciences companies to physicians. Founded by a practicing physician and a senior pharmaceutical executive, and named the #1 fastest growing company in North America by Deloitte in 2025, it has a culture guided by a council of 2000+ trusted HCP advisors.
Develop and operate production-ready AI and machine learning systems for enterprise-scale products.
Build and optimize LLM-powered applications, RAG pipelines, and intelligent agents.
Implement software engineering best practices for AI development including CI/CD and testing.
Our partner is building enterprise-grade AI solutions that deliver measurable business impact. They offer a remote-friendly work environment with a collaborative engineering culture focused on innovation, quality, and continuous learning.