Remote Data Jobs • Machine Learning

Interns will be assigned a full-time mentor and will be embedded in team projects where possible. This unique opportunity offers a personalized 1-1 experience, pairing each intern with a seasoned industry professional as their mentor. Through hands-on guidance and individualized attention, interns will delve into real-world projects, gaining invaluable insights, skills, and practical knowledge. Whether you're passionate about coding, system architecture, or software engineering, our mentorship program provides the support and mentorship needed to accelerate your growth and kickstart your career in the dynamic world of technology.

Lead and scale the technical foundation that powers our products, taking responsibility for our data platform, machine learning and AI capabilities, and core infrastructure systems. Define and execute the long-term strategy that enables us to deliver trusted, intelligent, and real-time data products to our customers; you'll play a critical leadership role at the intersection of infrastructure, data, and product.

Train machine learning models for workout users and for internal business forecasting, design and analyze A/B tests, and extract causal insights from observational fitness data. Work with the Product team to help them ideate, design, and prioritize product improvements and understand user behavior. Work with Client and Server teams to launch experiments and ship product improvements.

Expanding our team of motivated technologists to deliver results in technology consulting and looking for a Machine Learning Architect with experience in GCP cloud who is passionate about helping customers build AI/ML solutions at scale. As an experienced technologist and interpersonal skills, you will work directly with customers as part of a delivery team, helping to enable innovation by creating Machine Learning solutions that align to business goals.

Be a part of a dynamic team at Banco BV as a Data Analyst Junior, contributing to the implementation of the Audit by Design program in technology, responsible for designing and operationalizing automated audit trails focused on risks, compliance, and innovation, incorporating data analysis tools and artificial intelligence (AI). Key responsibilities include participating in structuring the Audit by Design program, developing automated agents in the CI/CD pipeline, mapping technological risks, and promoting a risk & compliance culture.

Implement and adapt existing analytic tools for high dimensional data analysis; develop and apply data-analytical and theoretical methods, mathematical modeling and computational simulation techniques; write programs in R and Python; help to develop new analytic pipelines and tools.

Work on various machine learning challenges to build systems and machine learning models to improve the experience for both Pinners and creators on Pinterest at scale. Apply the latest advances in deep learning and machine learning to personalize Pinterest users’ experience. Develop new features to improve Pinterest’s user and pin understanding in models.

Play a pivotal role in shaping the future of machine learning capabilities. Influence strategy, mentor teams, and drive measurable improvements in fraud detection systems. Solve critical challenges in model performance measurement, accelerate experimentation, and pioneer new ML technologies to stay ahead of evolving fraud tactics.

Critical projects will focus on data-driven insights to guide product development and business direction. You'll collaborate with leadership, product, data, and engineering teams to identify, define, and launch strategic and operational data science initiatives to improve Houzz Pro product offerings. You will design product experiments, interpret results, and conduct root cause analysis.

As the Principal Data Scientist, you’ll spearhead our data science initiatives—designing and deploying advanced machine-learning and statistical solutions. You’ll mentor a growing team of data scientists, set the strategic vision for modeling efforts, and ensure our algorithms deliver real business value for Spring & Bond and our clients.