Design, implement, and maintain reliable, scalable, and secure infrastructure, applications, and tooling, with a focus on our ML/AI pipelines and workloads
Write clean, maintainable code, and perform peer code-reviews
Write clear and concise documentation and engage in cross-team communication and knowledge sharing
Bright Machines is a next-generation, AI-enabled manufacturer focused on data center infrastructure assembly operations. The company utilizes AI-based robotics and software to assemble AI infrastructure hardware products for hyperscalers and leading OEMs, employing under 500 employees, with a culture rooted in innovation and expertise.
Own the full ML lifecycle, taking projects from ideation to production, including feature engineering, model selection, deployment, and model observability and evaluation.
Translate business needs into ML solutions, gathering product requirements and translating them into robust ML system design requirements.
Build recommendation and ranking systems, architecting and launching ranking and recommendation infrastructure from scratch, initially via integrated off-the-shelf models, and evolving to targeted and customized solutions in the long term.
Affinity's Relationship Intelligence platform empowers dealmakers to find, manage, and close more deals. It has more than 3,000 customers worldwide and is backed by Silicon Valley firms, with $120M raised, also receiving Inc. and Fortune Best Workplaces awards.
Owns the technical direction for large-scale machine learning models, guiding the development of advanced deep learning architectures and high-impact ML systems.
Partners with leadership to define ML roadmaps, drive innovation in scalable model design and training approaches.
Ensures efficient, reliable deployment of ML models in production and mentors the team’s technical capabilities.
Reddit is a community-driven platform where users submit, vote, and comment on topics of interest. With over 100,000 active communities and approximately 126 million daily active unique visitors, it is one of the internet’s largest sources of information.
Collaborate with engineering and cross-functional teams to translate business problems into an ML product roadmap.
Contribute hands-on technical expertise as a player-coach, providing strategic direction and mentorship to the team.
Establish an engineering setup enabling rapid iteration, experimentation, and deployment of models, fostering operational excellence.
Twilio is shaping the future of communications by delivering innovative solutions to hundreds of thousands of businesses. They empower millions of developers worldwide to craft personalized customer experiences, emphasizing a remote-first culture with a vibrant and globally inclusive team.
Take ownership of the ML API serving NBA recommendations and harden it for low-latency production traffic.
Ship your first agent tool contract end-to-end: schema design, handler implementation, and unit tests.
Set up the eval foundation for agents with golden transcripts, rubric-based judges, and regression suites.
Clutch is a vertical SaaS company backed by Andreessen Horowitz that helps credit unions become fintech lenders, providing affordable lending solutions to over 130 million Americans. The team is small, ambitious, and shipping fast with a culture that values pragmatism and real autonomy.
Design, deploy, and maintain scalable ML infrastructure supporting model training, batch inference, and real-time inference workloads.
National Debt Relief was founded in 2009 with the goal of helping consumers deal with overwhelming debt. They are one of the most-trusted and best-rated consumer debt relief providers in the United States, having helped over 450,000 people settle over $10 billion of debt.
Design and develop production-grade AI/ML services and web applications from proof-of-concept to scalable platforms.
Implement MLOps best practices, CI/CD pipelines, and cloud deployment for AI/ML workloads.
Collaborate with cross-functional teams to integrate AI capabilities into engineering workflows.
Cayuse Civil Services, LLC provides enterprise AI and engineering solutions for government and infrastructure clients. The company values innovation, excellence, collaboration, adaptability, and integrity, fostering a culture of teamwork and quality.
Define, drive, design, and build/ship end-to-end solutions that solve real customer problems.
Contribute to the end-to-end AI/ML software development lifecycle, ensuring reproducible research.
Drive architecture, design, and delivery of advanced ML systems in the Product R&D team.
Kinaxis is a global leader in modern supply chain orchestration. Known for its AI-infused platform and transparency across end-to-end supply chains, Kinaxis helps customers make faster, better decisions. The company has over 2000 employees worldwide and is recognized with Top Employer awards.
Design, develop, and deploy AI/ML models to automate and improve internal workflow.
Build and maintain ML pipelines within an AWS cloud environment.
Integrate ML capabilities into existing Java and React application workflows.
Oddball aims to improve daily lives by delivering quality software to the federal space. With a team of experienced engineering, product, and UX professionals, we value learning, growth, and making a big impact in a rapidly growing company.
Own the complete lifecycle of your assigned workstream.
Build AI systems designed to perform consistently and efficiently at scale.
Collaborate with our team to translate requirements into maintainable AI solutions.
They are looking for a contract AI Engineer to join them for an active, ongoing project and contribute immediately. Contract performance can lead to repeat engagements.
Define and evolve the architecture and roadmap for enterprise‑scale Data and AI platforms.
Design and build multi‑tenant, multi‑region, highly available AI platforms with governance.
Lead capacity planning and cost optimization strategies for GPU and CPU workloads.
NEORIS accelerates growth in Ibero‑America, combining global engineering with regional expertise. With over 60,000 professionals across 55+ countries, they offer technical specialization career paths and value responsibility, collaboration, creativity, and commitment.
Empower ML Engineers with the tools, infrastructure, and frameworks they need to iterate fast autonomously.
Accelerate time-to-market for production-ready ML products with seamless integration and access to data and resources.
Own ML CI/CD in close collaboration with the DevExp team, adapting existing frameworks to ML-specific needs.
Dailymotion is a video platform designed to broaden users' horizons with a unique algorithm. They foster inclusivity and aim to build a better and safer Internet with cutting-edge solutions for video hosting and advertising. With 400 employees in France, New York, and Singapore, Dailymotion is shaking up the global video platform ecosystem.
Design, implement, and deploy ML/AI models end-to-end, from concept through production, including data pipelines, training workflows, and optimization.
Maintain and evolve AI systems in production, monitoring for drift, debugging issues, and driving ongoing improvements to reliability and scalability.
Partner closely with product, engineering, and data teams to align AI work with broader product and business goals.
Robots & Pencils is an applied AI engineering firm that designs and ships AI co-workers integrating into operations and delivering results for clients. Founded in 2009, they have delivery centers in Canada, the United States, Eastern Europe, and Latin America, with teams averaging 15+ years of experience.
Maintain, improve, and extend an AI platform already running in production.
Handle a mix of backend development, data pipelines, DevOps, and infrastructure work.
Translate business and product requirements into technical decisions independently.
Provectus is an AI consultancy and solutions provider. We help businesses adopt AI technologies, offering development and integration services. While the job posting doesn't mention company size information, they seem to foster a flexible, autonomous, and tech-forward culture.
Design and build systems, manage scalable ML pipelines using Vertex AI Pipelines for training, evaluation and deployment to support ranking, retrieval, and recommendation personalization use cases
Develop and maintain data pipelines that support feature generation, model training, and analytics workflows. Own vector generation via Milvus, storage, and retrieval workflows
Implement model serving solutions using KServe and build APIs using FastAPI for low latency inference Build observability and monitoring for models and pipelines.
People Inc. is America’s largest digital and print publisher. Our 40+ iconic and fast-growing brands harness the best intent-driven content, the fastest sites, and the fewest ads to help nearly 200 million people every month.
Contribute to the development of the Everywhere Inference platform, a Kubernetes-based solution.
Design and implement APIs and developer tools to simplify deployment, management, and monitoring of AI applications.
Optimize serverless container workflows for AI workloads, ensuring performance, scalability, and seamless autoscaling.
Gcore provides infrastructure and software solutions for AI, cloud, network, and security. They have 550+ professionals globally and power everything from real-time communication and streaming to enterprise AI and secure web applications.
Play a key role in the company’s AI strategy and make a meaningful impact across the whole platform.
Lead development efforts, mentor engineers and product managers, and make key architectural decisions involving AI.
Architect end-to-end AI systems and use data-driven solutions to address complex cybersecurity problems.
AppOmni prevents SaaS data breaches by delivering end-to-end SaaS security. Recognized as a Frost Radar™ 2025 Leader and Great Place To Work ®, AppOmni continues to set the standard for innovation and customer value in SaaS security.
Design, develop, test, and deploy AI/ML models and applications including NLP pipelines, predictive models, recommendation engines, and intelligent automation workflows.
Build and integrate large language model (LLM) powered features using APIs such as OpenAI, Azure OpenAI, or Anthropic; implement retrieval-augmented generation (RAG) patterns and AI agent workflows.
Develop and maintain data pipelines that support model training, fine-tuning, evaluation, and real-time or batch inference.
ExtensisHR is a Professional Employer Organization (PEO) in the U.S. with client employees in all fifty states. They deliver personalized HR services for HR, employee benefits, payroll and taxes, employer risk, compliance, and employee management.
Shaping the Python language ecosystem with a strong product and platform mindset.
Architecting, building and delivering high-impact solutions that uplift the Python developer experience.
Advocating for Python engineering best practices across the organization.
Canva is a design platform that empowers users to create professional-quality graphics. They offer an inclusive culture with employees across multiple locations.
Design and deliver production AI and agentic systems across document intelligence, workflow automation, and copilots.
Define architecture decisions for LLM-based systems, including retrieval, tool use, orchestration, memory, and evaluation.
Own evals and observability for production AI and manage cost and latency at production volume.
Maxwell is a mortgage technology and fulfillment company with a mission to make lending simpler, faster, and more accessible. They power hundreds of lending institutions with their mortgage Point of Sale and related capabilities and are a remote-first team that takes craft seriously.