Source Job

• Design and deliver data access patterns and ingestion workflows.
• Work with technical roles and domain experts to turn AI use cases into production-ready capabilities.
• Build lightweight ingestion or sync pipelines to bring priority datasets from various source systems into platforms that enable AI use.

RWS is building the next generation of AI-enabled capabilities across our products, internal production systems, and enterprise platforms.

• Design, develop, and maintain geometry processing and simulation algorithms for engineering applications.
• Build services for reading, processing, and writing 2D/3D engineering data.
• Develop rendering modules for generating 2D/3D visual assets.

They are an MIT-born, venture-backed Silicon Valley startup building a real-life 'Jarvis'. An AI Copilot for design and manufacturing with the goal to utilize advanced AI, physics simulation, and computer graphics to reduce costs and improve engineering productivity across all steps of the design and manufacturing process.

• Design complex LLM prompts that accurately represent real customer journeys and service interactions.
• Partner with Field Engineers to transform raw data into structured, high-quality tasks for model training.
• Annotate and review tasks to ensure strict quality standards and alignment with expected customer outcomes.

Welo Data works with technology companies to provide datasets that are high-quality, ethically sourced, relevant, diverse, and scalable to supercharge their AI models.

Design, implement, and maintain scalable ETL/ELT pipelines using Python, SQL, and modern orchestration frameworks. Build and optimize data models and schemas for cloud warehouses and relational databases, supporting AI and analytics workflows. Lead large-scale data initiatives from planning through execution, ensuring performance, cost efficiency, and reliability.

This position is posted by Jobgether on behalf of a partner company.

• Design and implement production-grade auto-labeling pipelines that generate 3D and 4D annotations from multi-modal robot data at scale.
• Develop data-centric learning workflows that connect auto-label outputs, Serve’s dataset infrastructure, and continuous E2E model training and evaluation pipelines.
• Lead initiatives in self-training, weak supervision, and simulation-to-real adaptation to reduce manual labeling dependency and accelerate model iteration cycles.

Serve Robotics is reimagining how things move in cities with their sidewalk robot designed to take deliveries away from congested streets and benefit local businesses.

• Create and refine digital assets for Footwear Design, providing product visualizations.
• Collaborate with cross- functional teams to optimize processes.
• Mentor junior team members, helping them develop their skills.

At Brooks, we believe movement is the key to feeling more alive and we’re driven to create gear and experiences that take people to the place that makes them feel more alive.

• Explore and preprocess raw, messy datasets and design data strategies.
• Prototype model ideas and translate prototypes into production.
• Collaborate with cross-functional teams to turn ideas into impactful features.

Hostinger is shaping the future of online success powered by AI and driven by people with over 4 million clients in 150 countries.

Looking for a hands-on ML Data Engineer to join the growing machine learning team. Role sits at the intersection of data analysis, machine learning operations (MLOps), and client insight delivery. Take ownership of end-to-end data workflows, ensuring clean, reliable, and well-structured data.

At Smart Working, we believe your job should not only look right on paper but also feel right every day.

• Build and maintain data pipelines to support machine learning and analytics workflows.
• Collect, clean, and transform large, complex datasets from engineering environments.
• Develop and train predictive models for yield, performance, and anomaly detection.

We're seeking a Data & AI Engineer at FortifyIQ. The company seems to be in technology, possibly related to silicon design based on the job description.

• Define the vision and feature set for our internal Robotics Data Platform.
• Act as the Product Owner for a dedicated team of software engineers.
• Participating in discussions with leading robotics labs and foundation model builders.

Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises looking to deploy advanced AI systems. Recognized by Forbes, The Information, and Fast Company among the world’s top innovators, Turing’s leadership team includes AI technologists from Meta, Google, Microsoft, Apple, Amazon, McKinsey, Bain, Stanford, Caltech, and MIT.

• Design, build, and optimize high-performance systems in Python supporting AI data pipelines and evaluation workflows.
• Develop full-stack tooling and backend services for large-scale data annotation, validation, and quality control.
• Improve reliability, performance, and safety across existing Python codebases.

Alignerr connects top technical experts with leading AI labs to build, evaluate, and improve next-generation models. They work on real production systems and high-impact research workflows across data, tooling, and infrastructure.

• Assist in executing data engineering projects within the Customer Intelligence portfolio to meet defined timelines and deliverables.
• Build and maintain ETL pipelines based on user and project specifications to enable reliable data movement.
• Develop and update technical documentation for key systems and data assets.

Stryker is one of the world’s leading medical technology companies and, together with its customers, is driven to make healthcare better.

• Design, build, and maintain highly scalable, reliable, and efficient ETL/ELT pipelines.
• Ingest data from a multitude of sources and transform raw data into clean, structured, and AI/ML-ready formats.
• Work closely with data scientists, machine learning engineers, and business analysts to understand their data needs.

Valtech exists to unlock a better way to experience the world by blending crafts, categories, and cultures, helping brands unlock new value in an increasingly digital world.

This role validates Veeva AI Agents through evaluation. You will define strategies for new AI Agents. The role involves analysis of model behaviors to identify defects.

Veeva Systems is a mission-driven organization and pioneer in industry cloud, helping life sciences companies bring therapies to patients faster.

Build and improve processes to clean, enrich and structure large datasets. Integrate and manage existing ML models used for classification and enrichment. Apply NLP techniques to understand and categorize job descriptions and candidate profiles.

Jobgether uses an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements.

• Design, build, and productionize ML models for fine-tuned, Retrieval-Augmented Generation (RAG), and generative AI features.
• Build and maintain scalable data pipelines to collect high-quality training and evaluation datasets, including annotation systems and human-in-the-loop workflows.
• Collaborate with product and engineering to iterate on datasets, evaluation metrics, and model architectures to improve quality and relevance.

Mural is pioneering how generative AI transforms visual collaboration and decision-making.

• Apply bleeding edge AI theory to the design and implementation of large-scale data systems that feed AI agents and autonomous workflows.
• Use data science techniques to fine-tune, evaluate, and optimize LLMs for marketing-specific tasks.
• Build end-to-end automations using LLMs, internal data, and external signals to eliminate repetitive human tasks.

Rockerbox is building the next generation of marketing intelligence. They are looking for someone to help them build the AI systems everyone else just theorizes about.

Lead the Data Engineering team responsible for ingesting, processing, storing, and serving all market, reference, and alternative data with low latency and high reliability. You will own the architecture and evolution of our Feature Store, which powers our live trading systems and research pipeline. Hands-on technical leadership position with significant ownership and influence over our trading technology stack.

BHFT is a proprietary algorithmic trading firm that manages the full trading cycle, from software development to creating and coding strategies and algorithms.

• Train and tune machine learning models.
• Explore data and conduct feature engineering.
• Apply natural language processing to understand text and aid in conversational interfaces.

BambooHR is building a people intelligence platform that transforms HR and sets people free to do great work.

As the Product Manager for Activity, take ownership of sourcing, managing and maintaining data of activities from health care professionals. Collaborate with data engineering, data product, and data operations teams to ensure data is high quality. Contribute directly to a range of products that your data will be built on.

Veeva Systems is a mission-driven organization and pioneer in industry cloud, helping life sciences companies bring therapies to patients faster.