Source Job

• Develop machine learning and AI solutions for forecasting, anomaly detection, and operational intelligence.
• Design scalable enterprise data architectures and build ETL/ELT pipelines for analytics and AI workloads.
• Partner with stakeholders to define metrics, lead technical reviews, and mentor team members.

DataDirect Networks (DDN) is a global market leader in AI and high-performance data storage innovation, powering many of the world's most demanding AI data centers across industries like life sciences, healthcare, financial services, and research. With a proven track record of performance and scalability, DDN fosters a culture of innovation, customer-centricity, and passionate professionals committed to excellence.

• Build and operate the real-time inference service for the risk decision engine with low latency and high availability.
• Own model deployment infrastructure including CI/CD, shadow mode, and staged rollouts.
• Build model observability and partner with Risk Data Science for production operation.

Mercury is a fintech company that provides banking services for startups via partner banks. The company is committed to creating a safe environment and values diversity, with a growing team focused on innovation.

• Build ML infrastructure for low-latency model deployment, distributed inference pipelines, and real-time telemetry.
• Scale ranking systems by moving models from experimentation to production, optimizing latency and cost trade-offs.
• Implement model CI/CD for automated versioning, canary releases, hot-swappable container rollouts, and zero-downtime rollbacks.

Sequen provides an integrated platform that pairs cutting-edge frontier ranking models with infrastructure to run them in production at sub-10ms latency and enterprise scale. They are a small, highly technical, early-stage team focused on turning recent AI advances into production-grade systems.

• Drive strategic Payments roadmaps and user journey optimizations through data-informed insights and cross-functional collaboration.
• Design and execute rigorous experimentation frameworks, utilizing advanced statistical modeling and causal inference to quantify business impact.
• Collaborate with platform teams to maintain a resilient payments infrastructure and analyze payment processing trends.

Airbnb connects hosts with guests for unique stays and experiences worldwide. The company has grown to over 5 million hosts and 2 billion guest arrivals, fostering a culture of inclusion and belonging.

• Define and execute AI strategy, partnering with executive leadership to build AssetWatch's AI-native vision and roadmap.
• Lead the AI and Data Science organization, building, mentoring, and developing high-performing teams across Machine Learning Engineering and AI Engineering.
• Partner across the business to identify AI opportunities, implement governance, and measure impact on customer outcomes and revenue.

AssetWatch powers manufacturing uptime by delivering condition monitoring solutions for global manufacturers. They are a devoted team of world-renowned engineers and distinguished business leaders united by a common goal to build the future of predictive maintenance.

• Partner with business leaders to identify opportunities and develop analytical strategies.
• Create predictive models and scalable machine learning solutions to optimize customer acquisition and retention.
• Translate complex data findings into clear business recommendations and drive experimentation.

This company leverages advanced data science and machine learning to solve complex business challenges. It fosters a collaborative and inclusive culture focused on innovation, growth, and teamwork.

• Lead and mentor a distributed team of senior engineers and data scientists working on applied AI/ML systems and data platforms.
• Define clarity in ambiguous environments by establishing priorities, execution plans, and decision-making frameworks.
• Drive the evolution of AI/ML engineering practices and foster cross-functional collaboration across global teams.

Our partner is a global technology organization focused on AI and innovation. They emphasize an inclusive, collaborative culture with strong learning programs and leadership development.

• 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.

• Lead research and development of health trajectory models predicting member states and risks using real-world longitudinal data.
• Design next-best-action algorithms that convert predicted trajectories into intervention decisions tailored to member context.
• Serve as senior scientific lead for algorithmic rigor, mentoring scientists and collaborating with product and engineering teams.

Omada Health is a virtual-first healthcare company that combines human-led care teams, connected devices, and AI-enabled technology to deliver personalized care for chronic conditions like obesity and diabetes. They have served over two million members across 2,000+ employers and health plans, and have been certified as a Great Place to Work.

• Design, build, and maintain scalable data and ML pipelines for analytics and AI systems.
• Build and optimize workflows for structured and unstructured data, enabling semantic search and RAG use cases.
• Manage and optimize vector databases and indexing strategies for efficient retrieval and AI-powered search.

This is a partner company seeking a Data & Machine Learning Engineer based in Brazil. They operate in a highly technical and global environment with strong emphasis on scalability, performance, and innovation.

• Design and improve graph-based approaches for identity resolution across devices, households, and identifiers to improve match quality, coverage, and stability.
• Use Scala, Spark, SQL, and cloud-native tools to analyze large identity datasets, build models, and productionize data science workflows.
• Leverage LLMs, AI editors, and agentic workflows to accelerate research, prototyping, documentation, testing, and iteration.

MNTN provides advertising software for brands to reach their audience across Connected TV, web, and mobile, transforming Connected TV into a direct-response performance marketing channel. The company was named one of Ad Age's Best Places To Work in 2025 and one of Fast Company's Most Innovative Companies in 2023, with a culture defined by trust, ambition, quality, and compassionate leadership.

• Lead the company-wide AI strategy, governance, and adoption to drive measurable business impact.
• Oversee analytics, machine learning, and AI teams while managing the data platform for scalability and quality.
• Partner with product, finance, marketing, and operations to translate data into actionable insights and predictive features.

PadSplit is a mission-driven company tackling the affordable housing crisis by offering shared housing solutions. They are a growing organization with a culture focused on impact, innovation, and responsible AI adoption.

• Collaborate with data scientists and engineers to build scalable ML pipelines, troubleshoot infrastructure issues from Linux to Kubernetes, and optimize model performance.
• Drive high engineering standards, design on-premises MLOps solutions, and maintain tools for deployment and monitoring.
• Refine CI/CD workflows, incorporate ML model training and evaluation into testing, and ensure seamless handover between research and production.

Learneo is a platform of builder-driven businesses, including Course Hero, CliffsNotes, LitCharts, Quillbot, Symbolab, and Scribbr, focused on supercharging productivity and learning. The company supports high-growth businesses with centralized corporate operations and has a virtual-first culture with employees across multiple countries.

• Design, develop and deploy advanced statistical or machine learning models for credit risk, pricing, collections, fraud, and other high-impact business use cases.
• Lead end-to-end delivery of data science initiatives from problem framing through deployment and monitoring.
• Partner with cross-functional teams including Portfolio Strategy, Engineering, Product, and Sales to integrate models and solve critical business problems.

Forward Financing is a fintech company that unlocks capital for small businesses across America. Since 2012, it has provided over $4.8 billion in funding to more than 92,000 small businesses and is recognized as a Best Place to Work by Built In Boston.

• Own end-to-end Machine Learning (ML) system execution including data pipelines, training, and deployment.
• Fine-tune and adapt models using state-of-the-art methods like LoRA and DPO.
• Architect scalable inference systems and collaborate closely with application engineering.

This company develops advanced production-grade machine learning systems. The team is small and high-trust, with a culture of ownership and pragmatism.

• Lead Data + ML Platform strategy and execution, including MLOps and data engineering.
• Build and scale the engineering team, coaching engineers and fostering a culture of ownership.
• Partner cross-functionally with Product, Hardware, and Data Science to drive technical direction and business outcomes.

Inspiren offers the most complete and connected ecosystem in senior living, founded by a former Green Beret turned cardiothoracic nurse. The company is building an integrated platform with smart sensors and analytics to improve care outcomes.

• Lead analyses translating data into actionable insights for post-campaign reports.
• Build and maintain tagging models using prompt engineering and traditional ML methods.
• Synthesize analyses across programs to inform strategy and contribute to organic social research.

Vocal Media is a company focused on measuring the impact of digital campaigns and uncovering insights for social impact. They are a fully remote team committed to diversity and equity, with a culture that values leadership and inclusivity.

• Design and maintain scalable data pipelines for ingestion, transformation, and delivery into data warehouses, feature stores, and ML/AI systems.
• Build workflows for processing unstructured data and develop semantic representations to enable advanced search, retrieval, and LLM-powered applications.
• Collaborate with stakeholders to translate business requirements into scalable data and ML solutions.

Jobgether is an AI-powered job matching platform that connects candidates with hiring companies. They use technology to review applications and share top-fitting candidates directly with employers, ensuring a fair and efficient hiring process.

• Lead the design and operation of production machine learning systems for batch and online use cases with a focus on reliability and scalability.
• Build and improve ML lifecycle infrastructure including training pipelines, inference workflows, monitoring, and automation.
• Partner with cross-functional teams to translate business problems into ML solutions and guide prototypes to robust production systems.

Included Health is a healthcare company delivering integrated virtual care and navigation, aiming to raise the standard of healthcare for everyone. They are a remote-first organization offering comprehensive benefits and fostering a culture of inclusion.