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.
Define technical direction and multi-year roadmap for ads retrieval modeling.
Design, develop, and launch candidate-generation and retrieval models for campaigns and ads.
Apply modern approaches like two-tower architectures, representation learning, and deep learning techniques.
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.
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.
Lead exploration and application of Large Language Models and Generative AI into core product lines.
Translate the latest research into high-performing systems that enhance customer experiences.
Collaborate with cross-functional teams to set strategy and deploy ML solutions with real business impact.
Replicant is the industry leader in voice AI for customer service, providing automated phone bots for enterprises like AAA and Fanatics. Founded in 2017, the company is backed by top-tier Silicon Valley investors, has offices in the SF Bay Area, Toronto, and New York, and maintains a distributed team across the US and Canada.
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.
Build new functionality within a fast-moving product, taking ambiguous ideas from design to rigorous experimentation within weeks.
Conduct deep-dive research into state-of-the-art LLM orchestration, retrieval strategies, and data-driven personalization.
Build production-grade ML systems at Twilio scale, leveraging the latest AI development stacks to focus on core differentiation.
Twilio is a cloud communications platform that enables businesses to create personalized customer experiences through APIs and AI-driven solutions. The company is remote-first, serving hundreds of thousands of businesses, and fosters a culture of connection, inclusion, and innovation.
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.
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.
Own high-impact ranking models powering personalized feeds and digest emails.
Work across the full ML lifecycle, from data pipelines to production deployment.
Collaborate with a distributed engineering team on modern recommendation techniques.
They operate a large-scale knowledge-sharing platform. The company values autonomy, continuous learning, technical excellence, and thoughtful experimentation.
Create and improve large-scale search systems across hundreds of millions of profiles and billions of media files.
Build and deploy multimodal embeddings and LLM-powered search features from experimentation to production.
Own technical challenges end-to-end while collaborating with data, product, and leadership teams.
The company builds a large-scale creator search platform used by thousands of businesses worldwide. It is a remote-first, fast-moving organization with a culture of deep work, autonomy, and meaningful ownership.
Develop deep understanding of customer problems and map them to Cohere solutions as a trusted technical advisor.
Lead design and deployment of customer pilots, owning the technical narrative from discovery to business case.
Collaborate with Product and Engineering teams and partners to scale solutions and gather customer feedback.
Cohere is a leading security-first enterprise AI company building cutting-edge foundation AI models and products for real-world business problems. It is a global team of researchers, engineers, and designers headquartered in Toronto with offices worldwide, committed to driving AI adoption.
Design, build, and maintain scalable real-time ML services for ranking and personalization.
Analyze user behavior and run A/B tests to improve product discovery and engagement.
Collaborate with engineers, data specialists, and business stakeholders to drive measurable outcomes.
The company is an AI-driven e-commerce platform that uses machine learning to power smarter search, discovery, and shopping experiences. It maintains a collaborative, remote-first culture that values ownership, inclusion, and meaningful impact.
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.
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.
Lead a small engineering team as a hands-on player-coach, setting technical direction and owning delivery.
Ship AI-powered features to production while raising standards across observability, testing, security, and architecture.
Partner with Product and leadership to plan, prioritize, and follow through on complex technical work.
Usersnap is building AI-driven capabilities into its product, from automated setup to intelligent surveys and reporting. It is part of saas.group, a remote portfolio of 380+ SaaS professionals across 50+ countries, with a high-trust, flexible culture.
Lead the engineering foundation behind reliable, measurable, and scalable AI-powered features.
Build evaluation frameworks, observability tooling, and diagnostic infrastructure for AI agents in production.
Combine hands-on software engineering with technical leadership and people management.
The company builds AI-powered products with a focus on reliability, scalability, and evaluation infrastructure. It operates as a fully remote, globally distributed team with an ownership-oriented culture.
Design, build and operate production AI agents, including an autonomous coding agent that works from Jira and Slack, opening PRs and fixing CI failures.
Build the retrieval and context layer behind our AI brain: embeddings, semantic search, knowledge-graph modeling, and integration with Snowflake and internal docs.
Harden agents against prompt injection and over-broad permissions, and drive cost and latency down using caching and structured outputs.
Weedmaps is a global leader in the cannabis industry, providing a platform for consumers and businesses. The company has a collaborative culture focused on innovation and community, serving the U.S. and worldwide.
Set the vision for Enterprise Search and AI, driving strategy for RAG and question-answering capabilities.
Own outcomes, secure executive buy-in, and deliver measurable business impact.
Lead a team of 4+ Product Managers, championing user-driven innovation across the platform.
ServiceNow is the AI control tower for business reinvention, connecting AI, data, and workflows to help 85% of the Fortune 500 work smarter. The company is building an AI-native culture where technology and talent are unstoppable together, freeing people from busywork.