Architect, deploy, and optimize machine learning models for production environments, including search, recommendation, and conversational AI.
Design experiments and analyze large datasets to validate hypotheses and improve product performance.
Collaborate cross-functionally with product managers, engineers, and ML specialists to deliver impactful AI-driven solutions.
This role is listed by Jobgether, a company that uses AI-powered matching to connect candidates with hiring employers. They operate in a remote-first model with a high-performance, collaborative environment, offering opportunities to work alongside top technology professionals.
Lead the full algorithm development lifecycle for biosignal-based medical devices.
Select and implement appropriate machine learning and deep learning methods for each problem.
Present results to stakeholders and support client engagement for algorithm impact.
Beacon Biosignals is on a mission to revolutionize precision medicine for the brain using an at-home EEG platform. They have a database of nearly 100,000 patients and a culture of remote work and diversity.
Lead the definition and implementation of the enterprise architectural data vision, enhancing organizational agility and innovation across data domain landscapes.
Serve as a key advisor to executive leadership and cross-functional partners to design a roadmap for a unified data platform supporting advanced analytics, reporting, and AI/ML.
Drive enterprise-wide transformation by establishing rigorous data modeling, lineage, and quality standards embedded into development and operational lifecycles.
Oura empowers every person to own their inner potential through our award-winning products that help our global community gain deeper knowledge of their readiness, activity, and sleep quality. We are a quickly growing company focused on helping people live healthier and happier lives, and we ensure our team members have what they need to do their best work.
Develop AI-powered applications and workflows from idea to production, balancing quality, latency, reliability, and cost.
Integrate Large Language Models, APIs, RAG approaches, and automation into existing products and processes, learning from real user signals.
Build robust ML pipelines, collaborate with data scientists and engineers, and shape the technical direction for AI solutions.
Breuninger is a fashion and lifestyle company operating 13 department stores and online shops across multiple European countries. With 6,500 employees, the company fosters a friendly, open culture and values innovation in AI and data.
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.
Apply statistical, machine learning, and data mining techniques to large health data sets to build new products and methodologies.
Collaborate with Product Managers, Analysts, and Engineers to deliver and iterate on data-driven product solutions.
Explore high-volume data to identify signals, patterns, and relationships to infer insights from imperfect data.
Veeva Systems is a mission-driven pioneer in industry cloud, helping life sciences companies accelerate therapy delivery to patients. As one of the fastest-growing SaaS companies, it surpassed $3B in revenue with a culture valuing Do the Right Thing, Customer Success, Employee Success, and Speed.
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.
Design and ship AI sub-agents that act across the customer lifecycle, combining predictive models and LLM reasoning.
Build predictive and prescriptive models for churn risk, growth, adoption, and account health scoring.
Partner with Product, Engineering, and Applied AI teams from problem framing through production deployment.
Smartsheet empowers teams to manage work seamlessly and scale solutions smarter, now uniting human teams with AI agents. With over 20 years of experience, they foster a culture of innovation and collaboration.
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.
Build, maintain, and improve decision systems and predictive models key to competitive advantage.
Explore new data sources, design experiments, and prototype solutions using cutting-edge technologies.
Identify and implement advanced analytics methods as part of a collegial data science team.
Purchasing Power is a leading employee purchase program that helps people buy products through payroll deduction, part of PROG Holdings (NYSE: PRG), a FinTech holding company. We're an entrepreneurial, high-ownership team building data-driven products, moving fast with data-grounded decisions.