Source Job

• Develop and improve AI solutions using state-of-the-art machine learning and LLM technologies.
• Collaborate with data scientists, product owners, and developers throughout the data-driven development process.
• Apply software engineering best practices to build reliable code and conduct code reviews.

Wrike is a work management platform that helps teams collaborate and increase productivity. With over 1,000 employees across 10 global hubs, the company fosters a culture of innovation, collaboration, and customer focus.

• 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.

• Design and develop machine learning models for localization workflows, including machine translation and LLM finetuning.
• Implement and optimize models using Python, TensorFlow, and deploy via Docker and AWS services.
• Evaluate and select ML techniques, perform statistical analysis, and maintain clear documentation.

Welo Global is a leader in multilingual AI, technology, and content solutions serving over 2,000 clients in 300 languages. The company combines globally scaled multilingual infrastructure with a network of over 500,000 linguists and domain experts, backed by seven ISO certifications.

• Lead the design, implementation, and deployment of machine learning and deep learning algorithms.
• Apply data mining and statistical analysis to build high-quality predictive models and understand user interactions.
• Collaborate with product and engineering teams to deliver analytical interfaces supporting business strategy.

This company is an AI-driven startup optimizing healthcare operations through artificial intelligence, network science, and advanced optimization algorithms. It is a small organization focused on improving planning, scheduling, and efficiency for healthcare providers.

• Design and scale backend services integrating Generative AI and RAG for production use.
• Develop AI agents to automate workflows and build pipelines transforming data into actionable insights.
• Optimize retrieval systems and collaborate with product and engineering teams to deliver AI features.

Beyondsoft is a leading mid-sized IT and consulting company that combines modern technologies and proven methodologies to tailor solutions. With a global presence spanning four continents, our diverse team thrives on innovation and collaboration.

• Collaborate with business leaders to translate high-impact business problems into data science and data analysis projects.
• Develop and implement predictive models and machine learning algorithms for forecasting, customer segmentation, and optimization.
• Perform exploratory data analysis and create compelling dashboards and reports for both technical and non-technical audiences.

Concurrent Technologies Corporation is an independent, nonprofit applied scientific research and development organization. It fosters a collaborative, customer-focused environment where technology enables engineers, researchers, and business professionals to accomplish their mission.

• 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.

• Design, train, and evaluate machine learning models to address business problems.
• Build and maintain data pipelines and infrastructure for model development and deployment.
• Deploy ML models into production and monitor performance, reliability, and drift.

Critical Software delivers software solutions and consulting in complex, business-critical environments across industries like aerospace, defense, and healthcare. They are a Benefit Corporation committed to positive impact and an equal opportunity employer.

• Develop and refine predictive models and AI-driven insights to enhance intelligence and operational planning.
• Implement Agile methodologies, including sprint-based development and quarterly cost reviews.
• Integrate customer feedback and document model performance and operational impact.

SOSi is among the largest private, founder-owned technology and services integrators in the defense and government services industry. They deliver tailored solutions to enable national security missions worldwide, with a focus on government clients.

• Own ML models across their full lifecycle from data pipelines to deployment and monitoring, ensuring reliable performance.
• Run and improve the ML platform including GitOps CI/CD, monitoring serving endpoints, and defining SLOs.
• Collaborate with risk, operational, and product teams to turn ML into business value across the organization.

Alma provides installment and deferred payment solutions to help merchants boost sales and customer loyalty, without encouraging bad debt. With over 25,000 merchants, 10 million consumers, 380+ employees, and over €100M ARR, they are a Next40 member scaling rapidly across Europe.

• 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.

• 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.

• 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.

• 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.

• Lead the design and execution of data science projects, ensuring high-impact analytics solutions.
• Partner with client stakeholders to develop data-driven strategies and present findings to executives.
• Mentor team members and influence data governance and best practices within the organization.

Excella is a transformative technology firm that helps organizations unlock new possibilities. They are committed to developing talent and providing opportunities for career growth at every stage, with a collaborative team dedicated to solving complex problems.

• Partner directly with enterprise customers to understand business challenges and define AI solution requirements.
• Design, build, and deploy scalable machine learning, Generative AI, and agentic AI solutions for supply chain challenges.
• Collaborate cross-functionally with Product, Engineering, and Customer Success teams to deliver customer outcomes.

We pioneer intelligent, autonomous systems that redefine supply chain risk management, using agentic AI to help global enterprises predict disruptions. We are a fully remote, mission-led team focused on making critical goods get where they need to be.

• Design, build, and deploy production-grade machine learning and AI systems for customer-facing analytics and automation.
• Develop and operationalize end-to-end ML workflows from data preparation to model monitoring.
• Collaborate with Product and Engineering teams to identify high-impact use cases and deliver AI-powered data products.

Boulevard provides a client experience platform for appointment-based self-care businesses, empowering customers to give clients magical moments. The company values diversity, experimentation, and simplicity, and celebrates diverse backgrounds.

• 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.

• Design, build, and ship ML models that power content generation and quality eval scoring for Canva's generated element and template library.
• Own the full ML lifecycle — from data pipelines and training through to deployment, monitoring, and iteration.
• Partner with Content Engine, CORE AI Research, AI Media, and Discovery teams to align ML work with the broader content strategy.

Canva is redefining how the world experiences design with its intuitive design platform. We serve hundreds of millions of users globally and foster a culture of flexibility, inclusion, and innovation.

• Design and build LLM-powered AI components for internal tools and user-facing applications.
• Develop systems for data retrieval, embeddings, and intelligent automation workflows.
• Collaborate with cross-functional teams on AI use cases and contribute to technical vision.

Jobgether powers job matching using AI to connect candidates with opportunities. They emphasize a remote-first, collaborative culture with high autonomy and flat structure.