Design, implement, and refine machine learning models for personalized recommendations.
Improve architecture, code structure, and performance of ML systems, raising engineering quality.
Investigate research papers and lead experiments to validate and ship state-of-the-art models.
Canva is redefining how the world experiences design, providing a platform that empowers users to create stunning visuals. As a large, global company with campuses in Sydney and Melbourne, it fosters a culture of creativity, collaboration, and flexibility.
Lead and grow a cross-functional team of ML engineers, backend engineers, and data analysts.
Guide research and experimentation, balancing long-term innovation with near-term business impact.
Partner with Product and Engineering leaders to identify opportunities for increasing revenue and conversion through personalization.
Constructor is an AI-first ecommerce search and discovery platform helping shoppers find products and enabling global e-commerce brands to drive revenue and conversion. The company offers a fully remote team, unlimited vacation, and a training budget.
Design robust feature representations from implicit behavioral data to capture true user intent.
Architect sequential models that adapt to shifting user preferences for personalized recommendations.
Integrate ML scores with operations-research engines to balance personalization with business constraints.
Hungryroot uses AI to build a consumer-centric food and wellness company, acting as a personal assistant for healthy living. They are a distributed team of top talent across 28+ U.S. states with a remote-first culture emphasizing collaboration and flexibility.
Build and productionize ML-driven systems for personalization, search, and recommendation to drive business impact.
Utilize advanced algorithms and data mining to optimize product recommendations and improve conversion rates.
Develop AI/ML systems across search ranking, recommendation, and content intelligence to enhance user growth and outcomes.
Sporty is a remote-first company focused on delivering personalized and data-driven experiences in the gaming industry. They are a global team pursuing sustainability with a competitive salary and quarterly performance bonuses.
Developing and iterating on embedding models for advertising use cases, from aggregation pipelines to sequence models.
Building data processing and inference pipelines and evaluating features through end-to-end experimentation.
Ensuring reliability and scalability of ML systems by writing tests, monitoring, and reviewing code.
Reddit is a platform of communities built on shared interests and authentic conversations. With over 100,000 active communities and 126 million daily active users, it is one of the largest sources of information on the internet.
Design and implement content discovery algorithms to deliver a highly personalized user experience on Reddit's Notifications platform.
Enhance core recommendation capabilities including candidate retrieval, ranking models, and budget optimization, deploying ML models and integrating LLMs.
Serve as the primary ML domain expert, driving architectural decisions and collaborating with product, infrastructure, and data science teams.
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 unique visitors, Reddit is one of the internet's largest sources of information.
Set technical direction for the personalization platform, building an autonomous, agent-assisted future.
Build the intelligence layer combining LLM and classic ML to personalize marketing at scale.
Own high-leverage problems like reliable high-volume sending, experimentation, and data quality.
Owner is an AI-native system that helps local business owners succeed, starting with restaurants. It powers everything from website, online ordering, CRM, and POS; the team is in the low hundreds with talent from top SMB software companies.
Own the full data science engine for a priority vertical, from business problem to deployed model to live ROAS performance, driving measurable revenue and media efficiency.
Deliver buying models that maintain positive ROAS and improve lead quality across a portfolio of brands.
Establish trusted, direct partnership with business stakeholders and identify net-new modeling opportunities.
Launch Potato is a profitable digital media company that connects consumers with leading brands through data-driven content and technology. With a remote-first team spanning over 15 countries and reaching 30M+ monthly visitors, they have a high-growth, high-performance culture focused on speed, ownership, and measurable impact.
Partner with Product and Engineering to identify high-impact opportunities and define success metrics.
Lead rigorous experimentation across teams with hypothesis design, A/B testing, and clear readouts.
Build and iterate on ML/AI capabilities that ship to production, optimizing for value, latency, and cost.
Traackr is a global SaaS company providing a data-driven influencer marketing platform for marketers to optimize investments and scale programs. They are a remote-first company with offices in San Francisco, New York, Boston, Paris, and London, operating on a culture of mutual respect with core values including trust, diversity, value, ownership, and mutual success.
Drive end-to-end ML development for customer-facing SaaS products, from pipelines to production deployment and monitoring.
Design evaluation strategies and A/B tests to prove ML features improve customer outcomes and business impact.
Influence product roadmap by communicating ML capabilities and trade-offs to cross-functional teams.
WorkWave provides field service and logistics software solutions that help businesses manage their operations and serve their customers. They are a global company with a remote-first culture, recognized as a Best Place to Work and named among the top software companies worldwide.
Design and manage search recommendation services and models to support the content team.
Utilize machine learning-based personalization to enhance content matching and distribution.
Collaborate with cross-functional teams to identify needs and define success metrics.
Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. Trusted by over 300 million people in 100+ countries, Binance offers a range of products from trading to Web3 with a flat organizational structure and a focus on user-centric innovation.
Build, validate, and ship predictive models such as churn prediction, LTV forecasting, and propensity modeling end to end.
Own the full ML workflow from problem framing to production deployment and monitoring.
Partner with Product, Growth, Engineering, and Finance to turn model output into actionable recommendations.
OnHires is hiring on behalf of a remote-first B2C SaaS company with a subscription-based product that is building its data function from the ground up. The client operates under NDA at this stage, and it is a scale-up environment with a forming data team.
Develop and improve NLP systems and language model-powered experiences.
Fine-tune and optimize language models for domain-specific use cases and build evaluation frameworks.
Deploy and maintain production-grade ML systems on GPU infrastructure with a focus on scalability and safety.
BetterHelp removes barriers to therapy and makes mental health care accessible globally. Founded in 2013, it is now the world's largest online therapy service with over 30,000 licensed therapists, and it invests deeply in employee well-being and professional development.
Build, ship, and own product features end-to-end using cutting-edge AI/ML techniques.
Apply classical ML and LLM-based approaches like RAG, prompt engineering, and fine-tuning to enhance the audit and risk platform.
Collaborate with cross-functional teams in an Agile environment to deliver scalable, production-quality code.
Optro is a leading audit, risk, ESG, and InfoSec platform trusted by over 50% of the Fortune 500. The company has been named one of the 500 fastest-growing tech companies in North America for seven consecutive years, fostering a culture of innovation and collaboration.
Lead data initiatives using machine learning and AI to optimize ad delivery and platform performance.
Design, build, and maintain scalable AWS data pipelines for ML tooling and high-velocity ad systems.
Productionize forecasting and optimization models with robust backtesting, monitoring, and guardrail systems.
AdsByNimbus is a leader in Publisher-first mobile AdTech. The team is lean, highly capable, and deeply collaborative, offering high levels of project ownership and autonomy.
Collaborate with Data Engineers to implement strategic engineering proof of concepts and contribute to technology roadmaps.
Audit datasets for accuracy and reliability, and advise on data models and algorithms for client problems.
Develop and test applications for analytics pipelines and support digital analytics implementations.
Adswerve is an award-winning data, media and tech consultancy and a leading Google and Adobe partner that helps brands and agencies unlock new opportunities for growth. Our team of 250+ employees is spread across 26 states and six countries, with a remote, team-oriented culture where everyone contributes and feels valued.
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.
Design and operate core AI platform components for training, deploying, and serving ML models at scale.
Own model serving and inference workflows end-to-end, optimizing for reliability, latency, throughput, and cost.
Collaborate with product, infrastructure, and security teams to build scalable platform capabilities for AI-powered features.
Mozilla Corporation is the non-profit-backed technology company behind Firefox and Pocket, with over 225 million monthly users. A wholly-owned subsidiary of the Mozilla Foundation, the company is mission-driven, employee-owned, and focused on privacy and open standards.
Design and maintain scalable ML infrastructure including data pipelines, training workflows, and model deployment systems.
Own end-to-end ML lifecycle operations, ensuring reliable delivery of models into production at scale.
Implement monitoring, telemetry, and feedback loops for ML models running across large-scale device fleets.
Our partner company develops ML systems for connected hardware products used by customers worldwide. They operate in a fast-paced, product-driven environment with a collaborative and technically ambitious culture focused on real-world ML impact.
Own the end-to-end data science lifecycle for moderately complex models, from data ingestion to deployment and monitoring.
Apply expertise in machine learning and statistics to solve marketplace problems, including bidding, yield modeling, and experimentation.
Mentor junior data scientists and influence technical decisions within the team.
OpenX focuses on unleashing the economic potential of digital media companies by building digital advertising markets and technologies. The company is a growing and scaling team that values thoughtful, creative executors and a blend of market design, technical innovation, and operational excellence.