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Lazer is a world-class digital product studio composed of 180+ senior engineers and designers with backgrounds from companies like Apple, Google, Coinbase, and more. With our product experience, we have designed, engineered, and grown products from $0 to $200M in revenue.
Clients seek out our help because we have the talent to deeply understand their needs and provide industry, technical, or product insights that are uniquely valuable to their efforts. Our clients range from early-stage startups and venture studios to recognizable retail brands and exciting enterprises. Some of our notable clients include Google, Shopify, Coinbase, Alchemy, Hinge, OVO, Polymarket, and more.
We are a remote-first organization headquartered in Toronto, Ontario, with employees worldwide. We believe in providing the best experience possible for all Lazerites by fostering a strong community through regular events, company vacations, competitive compensation, unlimited PTO, and more!
Join Lazer and help us solve problems and build the next generation of products!
Who You Are:At least 6 years of experience as a Machine Learning or AI Engineer working with Python, JS/TS, Go, or similar languages.
Comfortable working with frameworks such as PyTorch, TensorFlow or similar frameworks and ecosystems.
Comfortable operating across cloud environments (AWS, GCP, Azure) and leveraging tools like Vertex AI, SageMaker, or Databricks.
Proven ability to architect, build, train, and deploy production-grade AI models.
Hands-on experience building or integrating AI-powered features (e.g., RAG, recommendation systems, semantic search, predictive analytics, etc.).
Strong understanding of machine learning and neural network architecture, including data preprocessing, model evaluation, and serving at scale.
Strong knowledge of MLOps/LLMOps best practices, including monitoring, CI/CD for ML, and production deployment.
Experience building and maintaining scalable data infrastructure (e.g. data pipelines, feature stores, and data lakes).
Strong understanding of software engineering fundamentals.
Track record of translating complex AI concepts into practical client solutions, ideally in consulting or fast-moving environments.
Proven experience working in a consulting or client-facing role with the ability to manage client expectations and timelines.
Engage with clients to understand their problems, needs, goals, and technical environments.
Architect and build scalable AI systems from data ingestion to model training to serving and monitoring.
Apply best practices in MLOps or LLMOps, including testing, monitoring, and reliability.
Build and integrate AI services and APIs into applications, collaborating closely with product and full-stack teams.
Design and build scalable data pipelines and data lakes as needed.
Conduct experiments, analyze results, and iterate quickly to maximize model and system performance.
Communicate tradeoffs and risks transparently, supporting client decision-making.
Collaborate with other engineers and cross-functional teams to deliver impactful results.
Stay current with the latest AI trends, technologies, and tooling to bring innovation to your projects.
The following would be a bonus experience to have, though highlight any additional experience or skills you may have. We like working with people with varied backgrounds and experiences.
Strong foundation in statistics, data science, or experiment design.
Advanced degrees in a related field (e.g. statistics, computer science, engineering, etc.)
Experience building in fintech, healthcare and ecommerce industries in particular.
Experience building full stack web or mobile applications (e.g. React, React Native, Node, etc.).
Strong design sensibility and user experience intuition.
Experience fine-tuning or serving large language models (open or closed source).
Familiarity with Kubernetes, Docker, or container orchestration for ML workloads.
Publications, open-source contributions, technical writing, or conference speaking experience.
AI in our hiring process
We use AI to help us review and shortlist applications based on job-related criteria. A human hiring manager always makes the call on who moves forward. As a company that builds with AI every day, we're all for candidates using it too — just be upfront about how it helped.
Why Work With Us
🚀 Accelerate Your Growth: Work across multiple industries and cutting-edge projects with a team that ships fast.
💥 Maximum Impact: Shape the future of the tech industry by helping ambitious projects reach their potential.
🏅 True Ownership: Everyone ships code and has real autonomy with minimal meetings.
💡 Continuous Learning: Be part of a team of senior engineers and designers who love learning and knowledge sharing.
🤖 You Resist Modern Tools: We leverage AI and cutting-edge technology to build rapidly and focus our energy on solving the most complex, high-impact challenges for our clients.
🏗️ You Crave High Structure: We thrive in an autonomous, fast-moving environment, which means you need to be comfortable with some ambiguity.
😴 You Prefer Conventional Careers: Our consulting approach involves varied projects and direct client interaction — it's not for everyone.
1️⃣ You Like Staying in One Lane: Our projects require adapting to different tech stacks and modern tooling quickly.
🌐 Work From Anywhere: Choose your workspace — all you need is strong wifi and a passion for building!
🧘♂️ Work / Life Balance: We believe in our team’s ability to have it all; a great career, and time to unplug and live…you know...life.
🩺 Employee Care: We provide full benefits (healthcare, dental, vision) for our employees (401k for our US employees)
🏖️ Unlimited PTO: Everyone needs a break. Take at least 15 days off a year, and more if you need—just be cool about it and keep the team in mind.
🎉 Regular Team Retreat: Join us for a week of team bonding at amazing destinations. Recent trips include the Dominican Republic, Cancun, and Hawaii — plus ones welcome.
