Own and evolve ML Ops architecture, including CI/CD for models.
Serve as a player-coach, contributing directly to design reviews.
AvaSure is revolutionizing healthcare with cutting-edge virtual care solutions that protect patients and empower clinical teams. We're proud of our collaborative culture where innovation thrives and every team member is valued.
Lead ML engineering execution and own technical direction for ML systems.
Design and develop advanced algorithms to address complex business challenges.
Coach engineers, build an environment of ownership and continuous learning.
Inspiren offers a complete and connected ecosystem in senior living, founded on compassionate care and technology. They provide integrated solutions with powerful analytics, driving efficiency, profitability, and better care outcomes, backed by nurse specialists.
Design, adapt, and optimize deep learning architectures for scientific domains and data modalities.
Own and deliver on complex ML projects, including experiment design, implementation, and evaluation.
Write clean, well-tested code in PyTorch and NumPy enabling a high experimentation rate.
Matterworks builds AI tools to extract insights from biological data and unlock opportunities in therapeutic discovery, development, and manufacturing. They are building large-scale deep learning models of biological data to predict the phenotype and behavior of biological systems.
Lead and manage a team of fullstack/AI engineers, provide mentorship, performance feedback and enable career growth for the team
Oversee technical design, development and deployment of fullstack web applications backed by AI technology
Collaborate with product, design, and QA teams to ensure seamless execution and delivery of cross-functional projects
PolicyMe is a Canadian digital insurance solution, offering affordable financial protection for families. They have a remote-first culture and have sold over $10 billion in insurance coverage since 2018.
Own the Pipeline from Cloud to Edge, re-architecting machine learning model deployment to edge devices.
Build Shadow Mode Infrastructure to test candidate models on production devices silently.
Drive governance & monitoring by building tooling to monitor model drift and performance from the edge.
Hudl builds great teams and hires the best to foster continuous learning. They provide a supportive culture where employees feel valued, contributing to their recognition as a Top 100 Global Most Loved Workplace by Newsweek.
Lead a team focused on implementing and maintaining AWS-based data management and execution solutions.
Be responsible for people management, work execution, and representing your team throughout the organization.
Influence the technical roadmap that enables data-driven analytics and machine learning across the enterprise.
Torc is a leader in autonomous driving since 2007 and has spent over a decade commercializing our solutions with experienced partners. Now a part of the Daimler family, we are focused solely on developing software for automated trucks to transform how the world moves freight. Our culture is collaborative, energetic, and team focused.
Design and implement MLOps pipelines to automate model training, deployment, monitoring, and management
Lead/mentor a team of MLOps Engineers, fostering an inclusive and collaborative environment that encourages innovation and continuous learning
Collaborate with Data Scientists and ML Engineers to ensure models are production-ready, scalable, and maintainable
Egen is a fast-growing and entrepreneurial company with a data-first mindset. They bring together the best engineering talent working with the most advanced technology platforms, including Google Cloud and Salesforce, to help clients drive action and impact through data and insights.
Design, develop, and deploy AI/ML models and pipelines that meet mission and performance objectives.
Build, train, and fine-tune models using frameworks such as PyTorch, TensorFlow, scikit-learn, Hugging Face, and LangChain.
Write clean, efficient Python code for data ingestion, feature engineering, embeddings, and inference services.
Frontier Technology Inc. (FTI) delivers mission-focused solutions to the Department of Defense (DoD/DoW) and Intelligence Community (IC) through advanced engineering, digital transformation, and program execution expertise. They help their customers solve complex challenges and achieve mission success by integrating people, process, and technology.
Drive long-term technical vision and make strategic bets.
Scale the ML team while maintaining culture and excellence.
Push the boundaries of what's possible in AI photo editing.
Photoroom, launched in 2020 after being accepted into Y Combinator, has become a popular AI photo editor. They aim to create technology allowing anyone to create studio-level product images. With over 300 million downloads and processing 5+ billion images annually, they serve both individual creators and major enterprises. It's a profitable, remote-friendly company that has raised Series B funding and aims for 40% year-over-year growth. Their team of 100+ passionate builders focuses on craft, innovation, and collaboration.
Design, develop, and deploy machine learning models and pipelines using Python
Build and maintain end-to-end ML systems from data ingestion to model serving
Write clean, efficient, and maintainable Python code following best practices
Activate Group was named by the Sunday Times as one of the UK’s 100 fastest-growing private companies. They employ more than 700 team members nationwide and work with some of the UK's largest fleets and insurance companies, supporting drivers involved in road incidents.
Design, build, and deploy machine learning models to improve the accuracy of design imports.
Integrate ML systems into high-performance backend and rendering pipelines.
Define data strategies to continuously improve model performance.
Canva is a design platform that empowers anyone, anywhere to create designs. They have campuses in Sydney and Melbourne, and coworking spaces in other locations throughout Australia and New Zealand, and offers a flexible work environment.
Lead, mentor, and grow a team of Machine Learning engineers and scientists
Drive execution of ML initiatives across Document Generation, Voice Agents, and Knowledge Base systems
Partner closely with Product and Engineering to define scope, priorities, and delivery plans
EvenUp aims to close the justice gap using technology and AI, empowering personal injury lawyers and victims. They are a fast-growing vertical SaaS company backed by top VCs, seeking talented, driven, and collaborative individuals.
Engaging directly with current and prospective clients to understand business needs, translate them into technical requirements, and communicate findings in a clear, actionable way
Partnering with internal and client stakeholders to shape solutions, develop proposals, and contribute to go-to-market initiatives
Design, develop and deploy efficient data pipeline for both structured and unstructured data
Resultant consists of a team of engineers, mathematicians, data analysts, project managers, and business consultants. They partner with clients in the public and private sectors to help them overcome complex challenges, empowering clients to drive meaningful change.
Design and build scalable and efficient ML models.
Serve as the go-to expert for all machine learning-related inquiries.
Conduct in-depth research to stay at the forefront of the fields.
Game Plan Tech empowers public sector organizations with best-in-class Google solutions. They foster a collaborative environment where you can make a significant impact, drive innovation for our clients, and advance your career.
Define and evolve AI and data science technical strategy.
Architect and build production AI systems including LLM applications.
Partner with product management to translate business requirements.
Wiser Solutions offers a suite of in-store and eCommerce intelligence and execution tools. They aim to enable brands, retailers, and retail channel partners to gather intelligence and automate actions to optimize pricing, marketing, and operations initiatives, both in-store and online.
Lay down the first ML and statistical components of the data science platform
Translate business problems and feature needs to machine learning problems
Implement always-on training pipelines
Kamino Retail, powered by Equativ, is a pioneering SAAS platform at the forefront of retail media innovation. They equip retailers with advanced tools and solutions to revolutionize their advertising strategies, amplify customer engagement, and drive concrete results.
Guide the technical direction of Bondora’s ML engineering stack by selecting, evaluating, and implementing technologies to improve scalability and reliability.
Lead complex, high-risk, or cross-departmental projects that directly influence Data Science delivery, risk model performance, and production stability.
Act as the bridge between Data Science, Data Engineering, and Development to identify and solve systemic technical challenges.
Bondora's mission is to empower people to enjoy life more while alleviating the stress of managing finances. Founded in 2008, Bondora has served over 1 million customers for 16 years and is rapidly growing as a fintech company, set to acquire a banking license and expand investment and loan products across Europe.