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.
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.
Build state-of-art multimodal data mining and semantic search solutions to power AV product development.
Develop data understanding platform infrastructure for real-time querying/vector databases and batch/stream processing using technologies like Ray, Spark, Lance, or similar.
Deliver end-to-end data mining solutions that span onboard (C++) and offboard (ML & Data Infra) infrastructure to accelerate AV product development.
Stack is developing revolutionary AI and advanced autonomous systems designed to enhance safety, reliability, and efficiency of modern operations. With decades of experience creating and deploying real world systems for demanding environments, the Stack team is dedicated to developing an autonomous solution ecosystem tailored to the trucking industry's unique demands.
You will work to build, maintain and improve our Torc ML frameworks.
You have built ML solutions that have reached production.
You want to build, maintain, grow, and improve our ML platform.
Torc has been a leader in autonomous driving since 2007. Now a part of the Daimler family, they are focused solely on developing software for automated trucks to transform how the world moves freight.
Experiment with novel language model architectures, helping drive and execute Fastino's research roadmap
Optimize Fastino’s multimodal models to improve response quality, instruction adherence, and overall performance metrics
Architect data processing pipelines, implementing filtering, balancing, and captioning systems to ensure training data quality across diverse content categories
Fastino is building the next generation of LLMs. Their team, boasting alumni from Google Research, Apple, Stanford, and Cambridge, is on a mission to develop specialized, efficient AI and has raised $25M through their seed round.
Lead and manage a team of ML engineers, scientists, and researchers, fostering mentorship, development, and retention.
Execute the machine learning roadmap, focusing on 3D deep learning, computer vision, and generative AI applications.
Partner with product, engineering, and research stakeholders to align technical strategy with business objectives.
Jobgether is using an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. They appreciate your interest and wish you the best!
Build and drive roadmap for the Autonomy Data Flywheel
Draft requirements and ensure delivery for all consumers of the data including End-End AI, Perception, Safety and other teams.
Work with engineering teams to set and achieve targets for both quality and quantity KPIs
Serve Robotics is reimagining how things move in cities with its sidewalk robot designed for deliveries. The company aims to make deliveries accessible and benefit local businesses, with a team of tech industry veterans in software, hardware, and design.
Research, design, implement, compare, integrate and optimize state-of-the-art CV/ML algorithms.
Use CV/ML to automate and simplify the day-to-day work of manual operators.
Share knowledge within the team located across multiple (European) countries.
Sportradar is the world’s leading sports technology company, at the intersection between sports, media, and betting. More than 1,700 sports federations, media outlets, betting operators, and consumer platforms across 120 countries rely on their know-how and technology. They have a diverse, highly skilled, and enthusiastic team.
Design, develop, and deploy end-to-end Computer Vision solutions using classical and deep learning approaches.
Build and optimize models for image classification, object detection, segmentation, and OCR/document understanding.
Collaborate on data annotation strategies, data augmentation pipelines, and approaches to handle imbalance, noise, and domain shift.
Blend is an AI services provider committed to co-creating meaningful impact for its clients through data science, AI, technology, and people. They have a mission to fuel bold visions by aligning human expertise with artificial intelligence to unlock value and foster innovation.
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.
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.
Drive the development and maintenance of general firmware architecture across the device portfolio.
Build the technical framework for on-device inference within resource-constrained firmware stacks.
Partner with Data Science to design the company's first hardware-optimized data sampling, preprocessing, and inference pipelines.
Life360's mission is to keep people close to the ones they love through their mobile app and Tile tracking devices. They have over 750 remote-first employees and serve approximately 91.6 million monthly active users across more than 180 countries.
Design and implement knowledge distillation pipelines.
Distill large foundation models into smaller, faster, and cheaper models for inference.
Run and analyze large-scale training experiments to evaluate quality, latency, and cost tradeoffs.
They are a small, senior team with a strong research and engineering culture, offering high ownership and direct impact on product and roadmap. The company values being remote-friendly and an async-first environment.
Engineer logic for serializing Reddit’s complex conversational trees into optimal training contexts.
Reddit is a community-driven platform where users submit, vote, and comment on what interests them. With over 100,000 active communities and 116 million daily active users, they foster open conversations and shared interests.
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.
Build scalable Edge infrastructure, designing, developing, and maintaining delivery systems to deploy models to fleets of devices.
Work with cross-functional teams, collaborating with Data Scientists, Embedded Engineers and Product Managers to ensure smooth integration of complex features and capabilities.
Drive automation and reliability, implementing infrastructure to silently test candidate models on production devices, and build telemetry pipelines to monitor drift.
Hudl builds great teams and hires the best of the best to ensure you’re working with people you can constantly learn from. They work hard to provide a culture where everyone feels supported, and their employees feel it, helping them become one of Newsweek's Top 100 Global Most Loved Workplaces.
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.
You will be responsible for the short-to-medium-term development roadmap.
You'll have wide ownership over some of the core functionalities of Fiducial Scout.
This includes interception detection, collision avoidance, target acquisition, and GNSS denied visual navigation.
Fiducial is a young but fast-growing deep-tech start-up. They develop and deploy software for on-board UAV 3D vision in military applications. Their team members have strong academic backgrounds and the main office is located in the TU Delft campus.