Develop machine learning and LLM capabilities for query intelligence and search relevance.
Build agentic search planners and improve model behavior through prompt development and fine-tuning.
Own projects from problem definition to production deployment and collaborate with cross-functional teams.
Atlassian builds software products that help teams collaborate and manage work. The company fosters a flexible and inclusive culture, with employees able to choose where they work and a focus on innovation.
Identify and implement AI/ML opportunities across products, including generative AI and LLM applications.
Build, evaluate, deploy, and maintain machine learning models in production.
Collaborate with product managers, engineers, and experts to translate business challenges into scalable ML solutions.
The company applies machine learning and AI to real-world business and product challenges. It fosters a collaborative, remote-first environment centered on technical learning, innovation, and professional development.
Develop advanced ML models and agentic workflows to accelerate model development.
Use AI-assisted tools like Claude and Cursor to investigate model behavior and automate analysis.
Set technical direction, mentor engineers, and raise the bar for modeling rigor.
Reddit is a community of communities, built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information.
Refactor and productionise existing ML models, including NLP and generative AI solutions.
Build and maintain reliable ML pipelines with model evaluation, deployment, and observability.
Apply Applied AI techniques like RAG and integrate third-party AI APIs for production systems.
Smart Working is a remote-first talent company that connects skilled professionals with global teams and products. It is one of the highest-rated workplaces on Glassdoor, with a culture focused on growth, well-being, and belonging.
Architect and build scalable Generative AI and agentic AI applications from concept to production.
Design LLM-powered workflows, prompt strategies, and multi-agent solutions using LangChain and LangGraph.
Evaluate, fine-tune, and optimize LLMs, and own end-to-end ML and GenAI pipelines.
We are a partner company specializing in AI-powered recruitment, connecting top talent with innovative companies. We foster a collaborative, fast-paced environment with a focus on technical growth and professional development.
Develop and deploy cutting-edge AI/ML solutions to enhance the platform and improve student learning experiences.
Design, develop, and optimize LLM-powered agentic systems and APIs for real product use cases.
Collaborate with senior engineers and contribute to evaluation frameworks and MLOps pipelines.
Interview Kickstart specializes in interview preparation and career transitions into high-demand tech fields like AI, ML, and Data Science. Over 17,000 tech professionals have been guided by current and former hiring managers to land coveted positions at companies like Google and Amazon.
Design, implement, and deploy ML/AI models end-to-end, including data pipelines, training workflows, and production optimization.
Collaborate with product, engineering, and data teams to align AI work with business goals and translate technical tradeoffs.
Contribute to AI architecture decisions and raise engineering practices, using AI-forward coding tools like Claude and Cursor.
Robots & Pencils designs AI systems for a human world, pairing engineering with creativity to ship production-ready AI in 30 to 45 days. The company values craft, ownership, and direct feedback, with teams averaging fifteen-plus years of experience.
Work directly with leading AI labs and enterprises to define research goals and technical requirements.
Build data intelligence systems and implement ML pipelines for data curation, model training, and evaluation.
Develop LLM applications, including multi-agent systems, RAG workflows, and evaluation harnesses.
Our client is a venture-backed AI company building intelligent systems by combining human expertise with machine learning. With over $40 million in funding and a global expert network, they provide critical infrastructure for AI development.
Own agent quality end-to-end for Bliro's chat and voice agents, including prompting, context, and model evaluation.
Build eval sets, LLM judges, and benchmarks to measure quality, latency, and cost with statistical rigor.
Establish a repeatable process for improving agent quality and set the long-term technology roadmap.
Bliro builds an AI assistant that handles desk work for field sales teams, with over one million customer touchpoints documented. Backed by leading investors and trusted by German Mittelstand companies, it's a small, high-performing team that values ownership and continuous improvement.
Design, fine-tune, and deploy language model-based solutions from research to production.
Build and improve GenAI pipelines including RAG, corrective RAG, and agentic orchestration.
Develop scalable data and embedding pipelines, and evaluate generative AI outputs against accuracy and safety standards.
Liberty Mutual is a global insurance company that builds generative AI capabilities for its products. It is a large organization with an inclusive culture that values diverse perspectives, flexibility, and professional development.
Conduct independent research in Generative AI, LLMs, NLP, and multimodal AI to design experiments and evaluate models.
Develop and implement LLM evaluation frameworks, analyze model performance, and identify data gaps for improvement.
Apply strong statistical and data science skills to clean, analyze, and interpret complex datasets for AI/ML research.
Innodata is a global data engineering company that enables the responsible advancement of artificial intelligence by providing data, evaluation frameworks, and human expertise. With a 36+ year legacy, the company is committed to delivering the highest quality data and outstanding outcomes for its customers.
Design and build AI agents and automation to solve real problems across engineering, product, and delivery.
Partner with stakeholders to identify high-leverage opportunities and deliver end-to-end solutions.
Stay current with LLM and agentic frameworks to drive innovation in healthcare technology.
HealtheDGE provides AI-powered operational infrastructure for health insurance companies, helping them modernize operations. The company is experiencing strong market momentum and invests in its people, offering a collaborative culture focused on innovation.
Lead the development and optimization of machine learning models to detect and prevent AI security risks like prompt injection and jailbreaks.
Build reproducible training and evaluation pipelines on Reddit's ML platform, partnering with platform engineers to improve performance and reliability.
Set the technical vision and multi-quarter modeling roadmap, mentoring engineers and establishing best practices for responsible ML development.
Reddit is a community of communities, built on shared interests and authentic conversations, with 100,000+ active communities and 130 million daily active visitors. It is one of the internet's largest sources of information, fostering a culture of openness and trust.
Design and build ML infrastructure and GenAI models for voice and speech, including LLMs, RAG, and real-time audio at scale.
Partner with engineering teams to integrate AI capabilities into customer-facing products, ensuring scalable and reliable solutions.
Mentor engineers, explore emerging AI tech, and contribute to a collaborative, autonomous, and innovative culture.
Jobgether is an AI-powered job matching platform that connects candidates with hiring companies. The company focuses on using technology to streamline recruitment processes and ensure fair candidate evaluation.
Train, evaluate, and iterate on ML models for customer feedback tasks with rigorous experimentation.
Build and maintain LLM-powered features including retrieval pipelines, reranking systems, and insight generation.
Contribute to evaluation frameworks, semantic search, and collaborate with engineering on model integration.
We help large brands like Uber, Amazon, and Wise put customers at the centre of everything they do using our AI-powered Customer Experience Intelligence platform. Our collaborative, growth-driven culture values trust, ownership, and humility as we build the next generation of customer feedback technology.
Design and implement autonomous agents and multi-agent orchestration systems for complex, open-ended tasks.\n- Build and optimize production-grade LLM applications with a focus on reliability, observability, and low-latency performance.\n- Architect advanced RAG pipelines and vector database strategies to provide agents with accurate, real-time context.
Jobgether is an AI-powered job matching platform that connects candidates with hiring companies through objective evaluation. The company operates with a distributed, global-first team culture, emphasizing fairness and innovation in recruitment.
Build LLM-powered agents and production ML systems to automate security analysis.
Collaborate with threat-research and data engineering to turn risk identification into scalable solutions.
Own deployment, monitoring, and quality of solutions in CI/CD frameworks.
Zscaler accelerates digital transformation with its Zero Trust Exchange platform, protecting customers from cyberattacks and data loss. The company is the world's largest in-line cloud security platform, distributed across 160+ exchanges, with an AI-native culture focused on ownership, collaboration, and trust.
Develop, configure, deploy, and optimize AI agents using Cresta's AI platform and tools.
Build AI agent integrations with external systems such as APIs, databases, and CRMs to ensure seamless workflow integration.
Collaborate with customers and internal stakeholders to gather technical requirements and translate business needs into AI agent solutions.
Cresta builds a unified AI platform that combines conversational AI agents, real-time human agent augmentation, and conversation intelligence to drive revenue and efficiency for customer experience channels. Born from Stanford AI Lab, the company has raised over $270 million from top investors and is led by AI industry veterans.
Own model strategy and selection using rigorous benchmarks and statistical analysis.
Design and maintain evaluation methodologies for AI systems, including offline sets and LLM-as-judge frameworks.
Develop classification, fine-tuned, and agentic AI models to improve accuracy, cost, and latency.
A production agentic AI platform that builds and deploys advanced machine learning systems. The team is collaborative and values innovation, offering a remote work environment with high autonomy.
Lead the AI/ML organization behind the immigration case management platform, including document understanding and extraction.
Manage and grow a team of ML engineers, setting technical direction on build-vs-buy for AI/ML capabilities.
Be accountable for cost, quality, and throughput of every model in production, with recognized depth in the field.
Envoy Global innovates in global immigration, combining a tech platform with holistic service to streamline immigration for employers and individuals. The company is scaling its AI/ML organization and seeks a Director to lead document understanding and automation.