Design, develop, and deploy machine learning models to solve complex business problems in the AdTech domain
Analyze large datasets to generate actionable insights and improve product performance
Build and maintain scalable data pipelines using big data tools and frameworks
Sigma Software brings together talented professionals to deliver high-load, data-driven platforms for global clients. They value expertise, listen to their employees' voices, and empower career growth.
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.
Lay down the first ML and statistical components of the data science platform
Translate business problems and feature needs to machine learning problems
Implement always-on training pipelines
Kamino Retail, powered by Equativ, is a pioneering SAAS platform at the forefront of retail media innovation. They equip retailers with advanced tools and solutions to revolutionize their advertising strategies, amplify customer engagement, and drive concrete results.
Improve our existing machine learning systems using your core coding skills and ML knowledge
Identify new opportunities to apply machine learning to different parts of the Quora product
Work with other machine learning engineers to implement algorithms and systems efficiently
Quora's mission is to grow the world's collective intelligence through platforms like Quora and Poe. They are a remote-first company with passionate, collaborative, and high-performing global teams, emphasizing transparency, idea-sharing, and experimentation.
Design and deploy high-performance agentic systems that leverage Fastino’s optimized model architectures.
Collaborate with engineering teams to turn novel architectural breakthroughs into scalable solutions for enterprise customers.
Drive rapid, iterative prototyping of AI functionalities, refining model performance and task-accuracy based on real-world telemetry.
Fastino is building the next generation of LLMs with a team of alumni from Google Research, Apple, Stanford, and Cambridge and has developed the GLiNER family of open source models. Fastino has raised $25M through seed round and is backed by leading investors including Microsoft, Khosla Ventures, and Insight Partners.
Drive alignment across teams on ML strategy, standards, and long-term technical direction.
Guide recommendations for ML infrastructure, tooling, and architecture.
Define and evolve ML development processes, including model review, experimentation rigor, deployment, optimization, and operations
Lime is the largest global shared micromobility business. They operate in close to 30 countries across five continents with a mission to build a future where transportation is shared, affordable and carbon-free. Named a 2025 Time 100 Most Influential Company, Lime continues to set the pace for shared micromobility globally.
Write production Python that powers real-time bidding, model training, and campaign optimization
Train, deploy, and monitor ML models that decide which ads to show, when, and at what price: millions of bid decisions per second
Build and improve our incrementality measurement systems: helping advertisers understand the true causal lift of their CTV spend
tvScientific is the first and only CTV advertising platform purpose-built for performance marketers. We leverage massive data and cutting-edge science to automate and optimize TV advertising to drive business outcomes.
Design and implement tooling that enables researchers to quickly deploy and evaluate new models in production
Design, build, and maintain high-performance, cost-efficient inference pipelines, making architectural decisions about scaling, reliability, and cost trade-offs
Proactively identify and resolve infrastructure bottlenecks, proposing and scoping improvements to iteration speed and production reliability
AssemblyAI builds best-in-class Speech AI models that power the next generation of voice applications. They are a remote team building one of the next great AI companies where teammates define and build their company culture.
Data integrity assurance, monitoring and resolution.
Query Performance optimization.
Baubap's mission is to provide exceptional microloan services. They aim to be the most inclusive digital bank in LATAM, with a multicultural and highly driven team of professionals.
Kunai builds full-stack technology solutions for banks, credit and payment networks, infrastructure providers, and their customers. Their exceptional team thrives in a culture of collaboration, creativity, and continuous learning.
Partner with stakeholders to tackle technical problems at scale, building framework agnostic services.
Establish roadmap and architecture for Wealthsimple’s Machine Learning platform.
Build highly performant scalable systems, contributing to our ML platform on Kubernetes, Bedrock and Sagemaker.
Wealthsimple aims to provide financial freedom by making financial services transparent and low-cost. As the largest fintech company in Canada, with over 1,500 employees, they manage over $100 billion in assets and foster a collaborative and quality-focused culture.
Help build the discovery feed, the core recommendations engine.
Partner with the CEO and co-founders to execute on a vision that redefines discovery.
Design, implement, and iterate on large-scale ML systems to reach product/market fit.
Circle is building an all-in-one platform for online communities. They are a fully remote company of around 200 team members from 30+ countries, focusing on asynchronous work and documentation.
Design and build distributed systems that process billions of behavioral events per day in real time.
Develop high-performance APIs and services for advertising, identity, and intent features.
Leverage machine learning and LLMs to analyze data and enable intelligent decision-making.
Jobgether is a company that uses AI-powered matching processes to ensure job applications are reviewed quickly, objectively, and fairly. They identify top-fitting candidates and share the shortlist with the hiring company.
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.
Take ownership of and improve the model training and deployment pipeline using DVC and GCP using our Python data science SDK.
Actively contribute to ongoing analyses, including calibrations, pilot studies, error analyses, and model performance investigations, and translate findings into concrete improvements.
Improve the standards, tooling, and monitoring needed to ensure Eli’s models are robust, traceable, and operationally trustworthy.
Eli Health is enabling continuous hormone monitoring, empowering users to support their daily and long-term health with instant results. As a small team of fewer than 25 employees, they foster a high-performing, diverse environment where individual contributions significantly impact the company's trajectory.
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.
Design, build, and maintain secure, compliant ML infrastructure and automation adapted for high-sensitivity environments.
Develop and productionize machine learning and data pipelines serving real-time models that fight fraudulent traffic, spam, and bots.
Extract valuable signals from massive datasets, using your expertise to turn raw data into actionable insights.
Yelp is driven by their values, they’re a cooperative team that values individual authenticity and encourages creative solutions to problems. They are all about helping their users, growing as engineers, and having fun in a collaborative environment and are an equal opportunity employer.
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.
Partner with Applied ML engineers to define the requirements for discovery and ranking algorithms.
Act as the Product Owner for our internal experimentation tools and define the technical requirements.
Serve as the technical translator between the Data/ML teams and the core Product, Design, and Engineering (PDE) squads.
Gametime aims to unite the world through shared experiences by making it easy for people to discover and access live events. They operate platforms on iOS, Android, mobile web and desktop, supporting more than 60,000 events across the US and Canada.