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 production search, ranking, and recommendation systems.
Build ML models end-to-end, from feature engineering to monitoring.
Develop LLM-powered conversational search and image-based matching with RAG.
They operate a global digital marketplace for product discovery and evaluation, powered by advanced search and AI. They support a small, high-ownership engineering team with a remote-first culture and significant autonomy.
Build and operate real search infrastructure for ranking and multi-modal search across Nivoda's marketplace.
Own the full lifecycle of ranking and recommendation models, from features and training through deployment and monitoring.
Build context-aware and conversational search using LLMs, embedding-based retrieval, and image embeddings.
Nivoda is the operating system for the global jewellery industry, connecting diamond and gemstone suppliers directly with retailers across more than 70 countries. We're a small, high-ownership team with a remote-first culture, powering over $300M in annual transactions.
Design, deploy, and optimize large-scale ML systems for retrieval, ranking, and LLM-powered features.
Lead ML projects from concept to production, improving answer relevance and user experience.
Collaborate with Product, Data Science, and Engineering teams to shape technical direction.
The hiring partner is a technology company focused on building advanced AI systems that help users discover relevant answers from large collections of online conversations. It values innovation, collaboration, and responsible AI development, offering a remote work environment within the United States.
North America
Unlimited PTO
18w maternity
12w paternity
Lead ambitious research in computer vision, multimodal understanding, and visual generation.
Bridge cutting-edge research to practical product improvements.
Mentor scientists and set technical direction for high-impact AI.
Webflow is an agentic web marketing platform that helps marketing teams build, manage, and optimize high-performing web experiences. It is a fast-moving, growing company that values grit, craft, and quality, offering equity and comprehensive benefits.
Build reinforcement learning and agent environments for real customer and Frontier lab use cases, including task specifications, scoring, and evaluation.
Develop benchmarks and evaluation harnesses to measure model and data quality across accuracy, robustness, safety, latency, and cost.
Run fine-tuning, adapter, and other model experiments to evaluate how data and methods influence model behavior, and deploy local or self-hosted models for evaluation and inference.
Appen has been a leader in AI training data for over 30 years, specializing in human-generated data to train, fine-tune, and evaluate models across generative AI, LLMs, computer vision, and speech recognition. They support model development through an AI-assisted data annotation platform and a global crowd of over 1 million contributors in more than 200 countries, fostering a culture of innovation, collaboration, and humility over ego.
Build and ship AI methods for federal research data with LLMs, NLP, RAG, knowledge graphs.
Benchmark AI against baselines and human reviewers to prove gains in accuracy, reliability, efficiency, cost.
Set standards for trustworthy AI and mentor data scientists through code review and guidance.
ARI builds AI methods for federal research-funding and administrative data, with clients including the NIH. It is a small multidisciplinary team of scientists, analysts, economists, and data scientists experienced with NIH data.
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.
Research and develop new methods that push the frontier of Speech AI.
Improve data quality, build evaluation harnesses, and analyze production model accuracy.
Partner with researchers and engineers to turn research prototypes into production-ready systems.
AssemblyAI builds best-in-class Voice AI models powering next-generation voice applications. With under 100 employees, the company is lean, capital-efficient, and meritocratic, giving every team member outsized ownership and impact.
Architect and implement state-of-the-art GenAI pipelines for ad creative generation, including brand asset preservation and image/video editing.
Fine-tune large vision-language models and build feedback loops using ad performance metrics (CTR, CVR) via RLHF/RLPF.
Partner with Product, Sales, Policy, and Ads ML teams to integrate creative capabilities into Ad Manager and ensure brand safety.
Reddit is a community of communities built on shared interests, passion, and trust. With 100,000+ active communities and approximately 130 million daily active unique visitors, it is one of the internet's largest sources of information.
Building multi-agent systems and implementing agent-based workflows and AI automation solutions.
Developing and optimizing prompt engineering strategies, including evaluation and iteration.
Integrating LLMs and AI models into cloud-based applications and APIs while researching new AI tools.
Software Mind develops impactful software solutions for global companies, partnering with tech giants and unicorns on transformative projects. The company builds cross-functional engineering teams and embraces a culture of openness, respect, grit, and cooperation.
Design and execute experiments in reasoning model training, post-training alignment, test-time scaling, and systematic model evaluation for crypto-native applications.
Review and synthesize recent academic literature from NeurIPS, ICML, ICLR, and ACL to inform ongoing research directions in reasoning, alignment, and agentic AI.
Implement model variants and evaluation protocols using PyTorch and the Hugging Face ecosystem, tracking experiments with Weights & Biases.
Binance is a leading global blockchain ecosystem behind the world's largest cryptocurrency exchange by trading volume and registered users. Trusted by 300+ million people in 100+ countries, the company has a flat, results-driven culture and focuses on increasing the freedom of money and financial access worldwide.
Build post-training and evaluation systems for multimodal agents operating browsers and desktops.
Turn real workflows into environments, rewards, and experiments that drive reliable agent improvement.
Work directly with customers and research partners while maintaining a substantive research agenda.
Prime Intellect is building the open superintelligence stack, providing infrastructure for post-training frontier AI models. The company has raised $150M in funding and fosters a culture of ownership and collaboration for ambitious AI teams.
Define AI and digital strategy for major client engagements, owning opportunity portfolios from discovery through scale roadmaps.
Build and present executive-level business cases, design evaluation strategies, and create reusable strategy accelerators.
Serve as senior strategic partner to client leadership, mentor analysts, and contribute to business development and practice growth.
Robots & Pencils is an applied AI engineering firm designing and shipping AI co-workers that integrate into enterprise operations for measurable results. We are a smaller, senior team of 15+ year veterans who move fast and sweat details.
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.
Conduct research on enterprise agentic AI, including agent memory, continuous learning, safety, and privacy.
Leverage unique access to real enterprise deployments to test hypotheses and advance the state of the art.
Publish at top-tier venues and collaborate with cross-disciplinary teams to influence product decisions.
ServiceNow is the AI control tower for business reinvention, bringing together AI, data, and workflows to help 85% of the Fortune 500 work smarter. The company is a global leader with over 8,100 customers, building an AI-native culture where technology and talent are unstoppable together.
Design and build challenging evaluations and executable environments for coding and long-horizon agents.
Develop scoring logic and verifiers to detect reward hacks and trace failures through model outputs and harness code.
Build and scale RL data pipelines for generating and curating challenging coding and agentic tasks.
Prime Intellect is building the open superintelligence stack, providing infrastructure for post-training frontier AI models and open-source models trained for long-horizon tasks. The company has raised $150M from top investors and is a mission-driven team passionate about accelerating science and AI.
Run open-ended research projects using the internet as the primary tool.
Turn messy findings into clean outputs: matrices, briefs, landscape maps.
Use AI tools aggressively and build lightweight tools when needed.
A private design studio building and supporting a portfolio of companies across software, hardware, hospitality, and more. An affiliate of Expa, it also runs an early-stage investment fund and a founder cohort program.
Define technical vision for agentic AI systems processing global trade data.
Lead development of production-grade ML pipelines from ingestion to inference.
Mentor engineers and collaborate cross-functionally to drive measurable impact.
This role is with a partner company of Jobgether building AI systems that transform global trade data into actionable intelligence for risk management and compliance. They offer a remote-friendly culture with flexible time off, comprehensive benefits, and opportunities for technical leadership.