Design and implementation of reliable, maintainable, and scalable GenAI systems.
Serve as a subject matter expert for machine learning systems owned by the team.
Mentor junior and mid level engineers through code reviews and design collaboration.
Trajector specializes in medical evidence services, guiding clients through disability benefits complexities. They are a global team of over 1,800 dedicated individuals, streamlining the path to benefits and ensuring access to rightful compensation for those with disabilities.
Working with customers, engineers, and other stakeholders to define clear requirements that solve customers’ problems and leverage the capabilities of our AIOps platform
Developing and validating machine learning models and custom analytic algorithms that are applied to image, video, text, geospatial, time series, and structured data
Orchestrating and automating complex data and analytic pipelines
Striveworks helps organizations harness the power of artificial intelligence to solve real-world national security and business challenges by serving as the command center between data, models, and business outcomes. Founded by data scientists and engineers, Striveworks set out to make the journey from deployment to ongoing optimization simple and effective.
Work with customers to develop requirements and scope for new AI/ML projects.
Develop computer vision and machine learning based solutions for inspection platforms.
Analyze large datasets to extract meaningful insights and drive business decisions.
Loram provides advanced insights into inspection data collected for customers worldwide. The company has a small, collaborative team managing the entire project lifecycle, offering employees an outsized impact on inspections and maintenance recommendations.
Build and productionize reusable MLOps components supporting scalable and reliable ML workflows.
Establish strong ML lifecycle practices including experiment tracking, evaluation, and reproducibility.
Enable robust and monitored ML systems aligned with healthcare-grade reliability and compliance requirements.
Neko Health aims to shift healthcare from treating illness to preventing it, using advanced, non‑invasive technology and clinical expertise to deliver early, actionable health insights. The company has nearly 100 full-time engineers and supports a flexible workplace that prioritizes work-life balance.
Design and Develop machine learning infrastructure, tooling, and models to help teams deliver world class experiences.
Help product and development teams understand the data lifecycle and the inherent experimental nature of machine learning.
Build internal products and platforms to enable teams to incorporate AI into their features and customer facing products.
Weave provides an all-in-one platform for small businesses to streamline communications, and patient experiences. The company has a phenomenal culture, and Weave's teams are cross-functional agile teams composed of a product owner, backend and frontend devs and devops.
Advanced knowledge of AWS services including ML services (AWS SageMaker and AWS Step Functions).
Experience with ML monitoring and automation tools (MLflow, SagaMaker Pipelines).
Bluelight is a leading software consultancy dedicated to designing and developing innovative technology that enhances users' lives. With a presence across the United States and Central/South America, Bluelight is in an exciting phase of expansion.
Design and implement AI-powered systems using a mix of classical ML techniques and modern LLM-based approaches.
Apply a range of techniques—from classical ML to LLM-based approaches with a strong focus on reliability, performance, and maintainability.
Collaborate closely with product managers and designers to deliver high-quality, customer-focused features.
Optro is a leading audit, risk, ESG, and InfoSec platform, exceeding $300M ARR and experiencing continuous growth. They empower over 50% of the Fortune 500 with their award-winning technology, fostering innovation and customer satisfaction, and are recognized as one of North America's fastest-growing tech companies.
Build and deploy end-to-end AI/ML solutions, from data pipelines and feature engineering to model training and inference
Develop and maintain data pipelines for ingesting, transforming, and preparing data for analytics and machine learning
Write clean, modular, and maintainable code to support scalable AI applications
Eimagine fosters a remote-enabled environment where their people can thrive. They are a team of professionals who take pride in their craft, continuously learn, and support one another, helping clients navigate technology and business change while delivering meaningful outcomes.
Build and manage the full ML lifecycle—from experiment tracking to model deployment and retraining.
Implement ML-specific CI/CD (e.g., CML, Kubeflow Pipelines) to automate the promotion of models to production.
Architect distributed systems for large-scale model inference.
Deutsche Telekom IT Solutions is a subsidiary of the Deutsche Telekom Group, recognized as Hungary’s most attractive employer in 2025. They provide IT and telecommunications services with more than 5300 employees, serving hundreds of large customers in Germany and other European countries.
Drive the design and evolution of AI-ready tools and APIs for LLM platforms.
Own and evolve evaluation frameworks that measure tool-use accuracy across platforms.
Shape Canva's agent architecture, making strategic technical decisions about intelligence location.
Canva is a design platform that enables users to create various visual content. They have offices in multiple locations in Australia and New Zealand, and they offer a flexible work environment.
Design, develop, and maintain high-performance, scalable, and secure backend services, primarily using Python and frameworks like FastAPI
Translate ambiguous business and technical requirements into concrete software designs and actionable tasks for cross-functional teams
Operate and maintain production applications at scale, ensuring high availability, performance, and reliability
SmartAsset is an online destination for consumer-focused financial information and advice, whose mission is helping people make smart financial decisions, reaching over an estimated 59 million people each month. Valued at over $1 billion, SmartAsset has earned recognition on the Inc. 5000 and Deloitte Technology Fast 500 lists.
Work with designers and product managers to create high-performing product features.
Apply ML techniques to LLM-based approaches with a strong focus on reliability, performance, and maintainability.
Optro is the leading audit, risk, ESG, and InfoSec platform on the market and has surpassed $300M ARR. They inspire each other to innovate and assist each other to create the most loved platform, which has allowed them to become one of the 500 fastest-growing tech companies in North America.
Design, prototype and productionize scalable machine learning and optimization models.
Develop frameworks, pipelines, libraries, utilities and tools that process massive data for ML tasks.
Build end-to-end reusable pipelines from data acquisition to model output delivery.
BetterHelp's mission is to remove the traditional barriers to therapy and make mental health care more accessible. Founded in 2013, they are now the world’s largest online therapy service, with over 30,000 licensed therapists.
Develop and productionize machine learning (ML) solutions in the fields of Document understanding, Search and QnA, GenAI, Virtual Agents, etc.
Develop and maintain backend services using Python, focusing on AI-driven applications.
Design and implement APIs for seamless integration with AI models and services.
Judi Health is an enterprise health technology company providing a comprehensive suite of solutions for employers and health plans. They are rebuilding trust in healthcare in the U.S. and deploying the infrastructure we need for the care we deserve.
Own model serving: Design, build, and maintain low-latency, highly-available serving stacks for in-house ML model serving and integrating with LLM serving partners.
Automate training pipelines: Orchestrate data prep, training, evaluation, and registry workflows on Kubernetes with solid MLOps practices.
Optimize at scale: Profile and tune throughput, memory, and cost; introduce caching, sharding, batching, and GPU/CPU autoscaling where it pays off.
Cresta aims to turn every customer conversation into a competitive advantage by unlocking the true potential of the contact center. Their platform combines AI and human intelligence to help contact centers discover customer insights and automate conversations.
Design and maintain CI/CD pipelines for ML model training, packaging, and deployment across our microservices.
Manage containerized services on AWS ECS, optimizing for cost, latency, and availability.
Automate infrastructure provisioning and service configuration with Terraform.
Newsela takes authentic, real-world content from trusted sources and makes it instruction-ready for K-12 classrooms. Each text is published at five reading levels, so content is accessible to every learner; over 3.3 million teachers and 40 million students have registered.
Build models by executing predefined experiments and templated code within the standard model development paradigm.
Data extraction and preparation for use in solution building.
Lead requirements gathering efforts using your technical and product acumen to identify solutions to stakeholder problems.
Northwestern Medicine focuses on patient interaction and strives to cultivate a positive workplace. They are a leader in the healthcare industry that provides competitive benefits to their employees.
TrueML is a mission-driven financial software company that aims to create better customer experiences for distressed borrowers. The TrueML team includes inspired data scientists, financial services industry experts and customer experience fanatics building technology to serve people.
Set up and manage GPU cluster infrastructure on major cloud providers.
Build and operate job orchestration and scheduling systems.
Integrate and maintain ML training frameworks and post-training pipelines.
Snorkel AI helps enterprises transform expert knowledge into specialized AI at scale. They started as a research project in the Stanford AI Lab and work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before.
Design and maintain training systems that can process and learn from petabyte-scale multimodal datasets.
Identify and resolve bottlenecks in the training pipeline to maximize GPU utilization and reduce training time.
Work with the ML team to develop and refine neural network architectures suitable for autonomy tasks.
Serve Robotics is reimagining how things move in cities. Their personable sidewalk robot is their vision for the future; it's designed to take deliveries away from congested streets, make deliveries available to more people, and benefit local businesses. Their team is agile, diverse, and driven aiming to grow robotic deliveries from surprising novelty to efficient ubiquity.