Provide technical ownership for applied AI and data science initiatives across Sonatype, helping define approaches, architecture, priorities, and standards.
Lead complex AI projects from concept to production—translating ambiguous business and technical problems into measurable experiments and scalable solutions.
Act as a senior internal AI consultant to product, engineering, security, and research teams, helping identify high-value opportunities and advising teams on ML and GenAI approaches.
Lead applied AI projects from concept to impact, building and deploying ML/GenAI solutions across product, engineering, and security teams.
Act as an internal AI consultant, scoping problems, evaluating approaches, and advising on best practices for generative technologies.
Design experiments, build models for anomaly detection and fraud analysis, and bridge research to production via scalable APIs and tools.
Sonatype is a software supply chain management company that invented componentized software development and pioneered the category. Trusted by over 2,000 organizations, including 70% of the Fortune 100, and 15 million developers, the company fosters innovation, AI/ML adoption, and an inclusive culture.
Design, build, and deploy machine learning models for cybersecurity use cases like threat detection and risk scoring.
Own the full model lifecycle from data preparation to production deployment, working closely with engineering and product teams.
Build preprocessing and feature engineering pipelines, and monitor model performance with continuous improvement.
SpyCloud transforms recaptured darknet data to disrupt cybercrime. With over 250 employees, it is home to cybersecurity experts protecting businesses and consumers from stolen identity data.
Own the ML/AI platform including training infrastructure, model serving, inference pipelines, and production integration.
Drive the GenAI/LLM strategy including retrieval architectures, evaluation harnesses, and agentic workflows.
Partner with data scientists, DevOps, and backend engineers to productionize models and define API contracts.
SavvyMoney is a US-based financial technology company providing integrated credit score and personal finance solutions to over 1,600 banks and credit unions throughout the United States. The company was recognized as a 'Top 25 Places to Work' in the San Francisco Bay Area and is an Inc. 5000 Fastest Growing Company.
Design, build, and operate production AI systems, including agent orchestration and retrieval pipelines.
Architect and maintain marketing databases, pipelines, and the Customer Data Platform for advanced analytics.
Automate workflows with AI, ensuring data quality and reliability across end-to-end pipelines.
Samsara is the pioneer of the Connected Operations™ Cloud, enabling organizations to harness IoT data to improve the safety, efficiency, and sustainability of their physical operations. It is a publicly-traded company with a culture of autonomy and support, encouraging rapid career development and a scrappy, fast-moving team environment.
Drive innovation across the machine learning ecosystem and architect advanced ML solutions.
Mentor junior ML engineers and lead complex ML initiatives at scale.
Own models in production including deployment, monitoring, drift detection, and retraining.
Xsolla is a global commerce company providing tools and services to help video game developers fund, distribute, market, and monetize their games. Headquartered in Los Angeles, California, Xsolla has helped over 1,500 game developers grow their businesses worldwide.
Design and implement scalable data science solutions to support and automate decision making across the business.
Collaborate with stakeholders, engineering, and product teams to translate business needs into actionable data science models and insights.
Mentor junior and mid-level data scientists while establishing best practices and modeling standards that lift team quality and consistency.
Robots & Pencils is an applied AI engineering firm that designs and ships AI co-workers for enterprise operations. Founded in 2009, with delivery centers globally, the company is smaller, faster, and more senior by design with teams averaging 15+ years of experience.
Lead AI/ML strategy, architecture, and technical implementation across complex programs.
Design, develop, and deploy scalable AI/ML models and intelligent systems for decision support and automation.
Integrate cybersecurity, data governance, and compliance into AI/ML development workflows.
This company specializes in AI and machine learning solutions, focusing on secure, scalable production deployments. It fosters a collaborative culture with opportunities to work on advanced technologies and mentor others.
Design and implement layered AI guardrails and sandboxing to constrain AI behavior and secure enterprise workflows.
Partner with users to bake secure-by-default patterns into AI-assisted workflows and maintain an inventory of AI-to-service connections.
Continuously test guardrails through red-teaming and evaluate new AI tools to find secure ways to enable adoption.
Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI, developing autonomous transportation technology for commercial trucks and robotaxis. Backed by world leaders in AI and automotive, the company has offices in Toronto, San Francisco, Dallas, and Pittsburgh and is growing quickly with a diverse, innovative team.
Own the full model lifecycle from requirements and feature engineering through deployment and monitoring, partnering with ML engineers.
Translate complex fraud patterns into well-framed ML solutions, defining what to model and where ML adds value.
Design feature engineering pipelines, monitor model quality in production, and collaborate across teams to drive fraud strategies.
Extend revolutionizes the post-purchase experience for retailers by providing AI-driven solutions that enhance customer satisfaction and drive revenue growth. Backed by prominent technology investors and headquartered in San Francisco, Extend works with over 1,000 leading merchant partners across industries, fostering a collaborative and supportive culture.
Design and build scalable inference pipelines running on large GPU clusters for synthetic data generation.
Conduct data ablations and experiments to enhance model performance and data quality.
Research and implement innovative synthetic data curation methods using Cohere's infrastructure.
Cohere is a leading security-first enterprise AI company that builds cutting-edge foundation AI models and end-to-end products for enterprises. They are a global team of researchers, engineers, and designers with offices in Toronto, London, New York, San Francisco, Montreal, Paris, Berlin, and Seoul.
Provide technical leadership for designing scalable, AI-integrated software solutions and guiding a distributed team.
Architect robust AI agents and APIs, refine prompt strategies, and decompose complex features into clear tasks.
Mentor developers on AI tool adoption and clean code practices, optimizing DevOps pipelines for efficiency.
Mitratech builds world-class products simplifying operations in Legal, Risk, Compliance, and HR functions. They serve 20,000 client companies globally, including 30% of the Fortune 500, with a diverse and inclusive culture focused on learning and fun.
Operate as a technical leader shaping architecture and quality, mentoring developers, and translating technical decisions into business value.
Design, build, and operate agentic AI systems including LLM services, retrieval pipelines, and multi-agent orchestration with end-to-end accountability.
Lead AI-augmented development practices, evaluating emerging technologies and establishing team-level guardrails for safe and effective AI tool use.
Caseware is a Canadian fintech company that has led the global audit and accounting software industry for over 30 years, serving over 500,000 users across 130 countries. With more than 36,000 professionals listing Caseware as a skill, they foster a culture of independence, innovation, trust, and accountability in a growing global SaaS environment.
Shape AI security at the edge by turning new threats into protections customers can use.
Think like an attacker to find new ways AI systems can be exploited and stop them.
Build for real time, catching threats without slowing down the applications we protect.
bunny.net is a content delivery network and edge computing company that accelerates the internet. Founded in 2015, the company has 95+ employees and fosters a culture of ownership, improvement, and challenging what's possible.
Drive AI platform architecture and execute the long-term roadmap for machine learning and generative AI.
Lead AI infrastructure vision including end-to-end training, fine-tuning, and low-latency inference platforms.
Set engineering excellence standards for the full AI/ML SDLC and mentor senior engineers.
Lyra Health is a leading provider of evidence-based mental health care, serving over 20 million people globally. The company operates with a focus on transformative care and has delivered over 15 million sessions, employing a large team that includes engineers, data scientists, and clinical professionals.
Architect distributed LLM workflows and influence engineering behavior across the org.
Establish AI governance and security guardrails for LLM usage and data privacy.
Optimize the SDLC by embedding autonomous workflows and coding agents.
ServiceNow is the AI control tower for business reinvention, bringing together any AI, data, and workflow to help 85% of the Fortune 500 work smarter. We're building an AI-native culture where technology and talent are unstoppable together.
Build and maintain evaluation pipelines and environments for AI model benchmarks.
Prepare and maintain benchmark datasets, ensuring reproducibility and consistency.
Develop analysis tools and leaderboards to track model performance over time.
Office Hours is an on-demand expert network that connects leading organizations with trusted experts across various knowledge domains. We're a hyper-growth and profitable company, quickly expanding our expert network, launching new offices, and new products.
Own end-to-end deployment of Tines’ platform within complex enterprise environments, integrating with existing systems and configuring workflows.
Drive adoption across the organization by training and enabling users and stakeholders at every level.
Identify and develop new use cases by surfacing opportunities where Tines can create additional value.
Tines is an intelligent workflow platform that applies AI, automation, and integration to drive real business results. Founded in 2018, the company fosters a culture of simplicity, speed, and soundness, serving customers from startups to public companies.
Develop and deliver cutting-edge agentic AI solutions using Cohere's foundation models and Agentic AI Foundry.
Architect scalable, secure, and customizable NLP and generative AI solutions for enterprise customers.
Collaborate with customers to understand complex workflows, design pilots, and translate business requirements into technical solutions.
Cohere is the leading security-first enterprise AI company building cutting-edge foundation AI models and end-to-end products. We are a global team of researchers, engineers, and designers passionate about our craft, headquartered in Toronto with offices worldwide.
Build AI-powered tools and copilots across the SDLC to reduce cognitive load and eliminate manual steps.
Research and deploy GenAI solutions to improve delivery pipelines and system reliability.
Collaborate with Platform, SRE, and DevOps teams to integrate intelligent automation into the core engineering platform.
Coderio designs and delivers scalable digital solutions for global companies. They combine strong technical expertise with a product mindset and value autonomy and clear communication.