Design and operate core AI platform components for training, deploying, and serving ML models at scale.
Own model serving and inference workflows end-to-end, optimizing for reliability, latency, throughput, and cost.
Collaborate with product, infrastructure, and security teams to build scalable platform capabilities for AI-powered features.
Mozilla Corporation is the non-profit-backed technology company behind Firefox and Pocket, with over 225 million monthly users. A wholly-owned subsidiary of the Mozilla Foundation, the company is mission-driven, employee-owned, and focused on privacy and open standards.
Develop and improve NLP systems and language model-powered experiences.
Fine-tune and optimize language models for domain-specific use cases and build evaluation frameworks.
Deploy and maintain production-grade ML systems on GPU infrastructure with a focus on scalability and safety.
BetterHelp removes barriers to therapy and makes mental health care accessible globally. Founded in 2013, it is now the world's largest online therapy service with over 30,000 licensed therapists, and it invests deeply in employee well-being and professional development.
Build, ship, and own product features end-to-end using cutting-edge AI/ML techniques.
Apply classical ML and LLM-based approaches like RAG, prompt engineering, and fine-tuning to enhance the audit and risk platform.
Collaborate with cross-functional teams in an Agile environment to deliver scalable, production-quality code.
Optro is a leading audit, risk, ESG, and InfoSec platform trusted by over 50% of the Fortune 500. The company has been named one of the 500 fastest-growing tech companies in North America for seven consecutive years, fostering a culture of innovation and collaboration.
Developing and iterating on embedding models for advertising use cases, from aggregation pipelines to sequence models.
Building data processing and inference pipelines and evaluating features through end-to-end experimentation.
Ensuring reliability and scalability of ML systems by writing tests, monitoring, and reviewing code.
Reddit is a platform of communities built on shared interests and authentic conversations. With over 100,000 active communities and 126 million daily active users, it is one of the largest sources of information on the internet.
Design, build, and deploy AI/ML solutions from prototype to production for client business problems.
Apply generative AI and LLMs, establishing MLOps best practices including CI/CD and model monitoring.
Serve as a trusted technical advisor, translating ambiguous problems into well-scoped solutions and presenting to stakeholders.
DevIQ builds modern cloud and data solutions for mid-market companies focused on energy reduction, healthcare, education, and smart cities. The company offers competitive benefits, a strong team culture, and opportunities to work on end-to-end solutions with multi-disciplinary teams.
Design, implement, and refine machine learning models for personalized recommendations.
Improve architecture, code structure, and performance of ML systems, raising engineering quality.
Investigate research papers and lead experiments to validate and ship state-of-the-art models.
Canva is redefining how the world experiences design, providing a platform that empowers users to create stunning visuals. As a large, global company with campuses in Sydney and Melbourne, it fosters a culture of creativity, collaboration, and flexibility.
Own the end-to-end data science lifecycle for moderately complex models, from data ingestion to deployment and monitoring.
Apply expertise in machine learning and statistics to solve marketplace problems, including bidding, yield modeling, and experimentation.
Mentor junior data scientists and influence technical decisions within the team.
OpenX focuses on unleashing the economic potential of digital media companies by building digital advertising markets and technologies. The company is a growing and scaling team that values thoughtful, creative executors and a blend of market design, technical innovation, and operational excellence.
Lead applied ML initiatives for identity verification, focusing on computer vision models like face liveness detection and anti-spoofing.
Build, train, and optimize deep learning models and pipelines on AWS with strong reproducibility and monitoring.
Collaborate across teams to ensure ML solutions meet privacy, compliance, and reliability requirements.
Mitek is a global leader in digital and biometric identity authentication, fraud prevention, and mobile deposit solutions, serving over 7,500 organizations worldwide. The company is headquartered in San Diego with operations across multiple countries and emphasizes a Virtual 1st culture, valuing flexibility and inclusion.
Design and develop machine learning models for localization workflows, including machine translation and LLM finetuning.
Implement and optimize models using Python, TensorFlow, and deploy via Docker and AWS services.
Evaluate and select ML techniques, perform statistical analysis, and maintain clear documentation.
Welo Global is a leader in multilingual AI, technology, and content solutions serving over 2,000 clients in 300 languages. The company combines globally scaled multilingual infrastructure with a network of over 500,000 linguists and domain experts, backed by seven ISO certifications.
Design and build systems that improve the efficiency of ML training and inference workloads.
Develop tooling that helps ML engineers debug, profile, optimize, and monitor model performance.
Partner with ML researchers and product teams to identify bottlenecks and drive performance improvements.
Reddit is a community of communities built on shared interests, passion, and trust, hosting the most open and authentic conversations on the internet. With over 100,000 active communities and approximately 126 million daily active users, Reddit is one of the internet's largest sources of information.
Lead and grow a cross-functional team of ML engineers, backend engineers, and data analysts.
Guide research and experimentation, balancing long-term innovation with near-term business impact.
Partner with Product and Engineering leaders to identify opportunities for increasing revenue and conversion through personalization.
Constructor is an AI-first ecommerce search and discovery platform helping shoppers find products and enabling global e-commerce brands to drive revenue and conversion. The company offers a fully remote team, unlimited vacation, and a training budget.
Own customer solutions end-to-end, rapidly prototyping and deploying solutions in live operational environments.
Build trusted relationships from IC level to executive sponsor, becoming the technical face of the company.
Operate as part of a tight, multi-disciplinary unit with focus and urgency, seamlessly trading tasks to whoever is closest to the skills needed.
Kinaxis is a global leader in modern supply chain orchestration, powering complex global supply chains with an AI-infused platform. With over 2000 employees worldwide and 6 global offices, it has been recognized with several Top Employer awards and fosters a culture focused on technology, customers, and innovation.
Drive applied AI research from concept to production, owning computer vision, LLMs, and agentic workflows.
Design and execute experiments end-to-end, evaluating model performance and making pragmatic trade-offs.
Share expertise with teammates and stay current on benchmarks across CV, NLP, and multimodal learning.
Clariti empowers governments to deliver exceptional citizen experiences through AI-driven plan review and building code compliance. As part of a small, fast-moving team within CivCheck, they foster a lean startup culture with a focus on innovation and impact.
Execute and advance the enterprise data science and AI strategy aligned to organizational goals.
Design, develop, and deploy advanced machine learning models including predictive modeling and LLMs.
Partner with engineering teams to operationalize MLOps practices and productionize models.
Pyramid Systems is an award-winning technology leader driving digital transformation across federal agencies. Voted a Top Workplace both regionally and nationally, the company values flexible work, employee voice, and development.
Develop and fine-tune large language models for intelligent, safe, and responsive browser interactions.
Apply retrieval-augmented generation, summarization, classification, and intent modeling in real-world browser workflows.
Collaborate with product and engineering partners to design, iterate, and launch user-facing AI features aligned with Mozilla's values.
Mozilla Corporation is a non-profit-backed technology company that makes Firefox and Pocket, with a mission to reclaim an internet built for people. With over 225 million monthly users and a focus on AI, security, and open-source software, Mozillians work in a collaborative, mission-driven culture.
Design and manage search recommendation services and models to support the content team.
Utilize machine learning-based personalization to enhance content matching and distribution.
Collaborate with cross-functional teams to identify needs and define success metrics.
Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. Trusted by over 300 million people in 100+ countries, Binance offers a range of products from trading to Web3 with a flat organizational structure and a focus on user-centric innovation.
Drive AI/ML strategy, including the agentic AI platform and omni-channel resolution across Chat, Voice, and Generative UI.
Lead model strategy execution and build enterprise-grade ML infrastructure for Fortune 500 scale operations.
Recruit and scale a global AI/ML engineering organization of 100+ across the US, India, and Europe.
ServiceNow is the AI control tower for business reinvention, helping 85% of the Fortune 500 work smarter, faster, and better. It fosters an AI-native culture where technology and talent are unstoppable together, with a global team and flexible work personas.
Developing machine learning pipelines and custom analytics for image, video, text, geospatial, time series, and structured data
Orchestrating and automating complex data engineering and analytic pipelines
Envisioning, specifying, designing, and implementing core product functionality and conducting mission-critical fieldwork
Striveworks helps organizations harness AI to solve national security and business challenges by serving as a command center between data, models, and outcomes. Founded by data scientists and engineers, the company values a high-trust work environment with individual responsibility for collective results.
Deliver technical presentations and deep-dive demos, and support RFx responses with architecture designs.
Enable partners to drive Red Hat AI adoption through pipeline design, ecosystem adoption, and stakeholder alignment.
Collaborate with engineering teams, mentor junior members, and contribute to reusable technical assets.
Red Hat is the world's leading provider of enterprise open source software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. With associates spread across 40+ countries, Red Hat fosters an open and inclusive culture where creativity and collaboration are valued.
Design and implement content discovery algorithms to deliver a highly personalized user experience on Reddit's Notifications platform.
Enhance core recommendation capabilities including candidate retrieval, ranking models, and budget optimization, deploying ML models and integrating LLMs.
Serve as the primary ML domain expert, driving architectural decisions and collaborating with product, infrastructure, and data science teams.
Reddit is a community of communities built on shared interests, passion, and trust, hosting the most open and authentic conversations on the internet. With over 100,000 active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet's largest sources of information.