Staff Machine Learning Engineer, Generative AI

United States Digital Space LLC; Toronto; On-site; CAD 168,000 - 231,000; Full time

Benefits offered by this job

Equity

Bonus

Health insurance

Dental insurance

Vision insurance

RRSP match

Healthcare spending

Telemedicine

Paid leave (PTO and parental leave)

Job summary

the company in Canada is seeking a Staff Machine Learning Engineer on the Generative AI team to shape and accelerate the GenAI strategy across model development and platform services.

You will drive the design and implementation of production-ready AI/ML systems at scale, from LLM-powered features to reusable components across the company’s services.

Qualifications

• 7+ years of software development experience with Python; Go or TypeScript a plus.
• Hands-on experience with applied machine learning and training/fine-tuning models.
• Experience with modern Generative AI platforms (AWS Bedrock, OpenAI, Anthropic, etc.).
• Deep understanding of retrieval-augmented generation (RAG) and knowledge-base workflows.
• Familiarity with AI agent frameworks (LiteLLM, LangGraph, LangChain, LlamaIndex, MCP).
• Experience with ML frameworks (FastAPI, PyTorch, TensorFlow, Spark ML) and Airflow.
• Proven ability to collaborate with product and engineering teams to drive initiatives forward.

Responsibilities

• Spearhead design of scalable, observable ML and Generative AI systems with retrieval, inference, and evaluation pipelines.
• Develop structured prompting, context retrieval, and RAG workflows to improve accuracy, safety, and cost efficiency.
• Build and refine automated evaluation pipelines to measure model quality, correctness, groundedness, and safety in production.
• Implement schema validation, structured output guardrails, and ensure outputs are auditable and enterprise compliant.
• Mentor and coach engineers, contributing to team growth and the broader engineering community.

Job description

Secure Every Identity, from AI to Human

Identity is the key to unlocking the potential of AI. the company secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.

This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.

The Team

Have you ever considered what powers the intelligent features behind seamless product experiences? The GenAI team is at the forefront of enabling AI-powered security and intelligent innovation across our organization. From crafting AI powered security services, to intuitive generative AI-powered chat experiences that provide instant product support, and developing the best developer experience around authentication for generative AI and AI agents, our team is instrumental in bringing the transformative power of AI to life. We collaborate closely with the Machine Learning team and various product teams to ensure the seamless and secure delivery of AI-enhanced features that provide real value to our users.

The Opportunity

As a Staff Machine Learning Engineer on the Generative AI team, you will help shape, architect, and accelerate our Generative AI strategy by contributing across the stack of model development, infrastructure, and platform services. You’ll drive design and implementation of production-ready AI/ML systems at scale: ranging from LLM-powered features to reusable components that other teams across the company can build on.

You will have the opportunity to:

• Architect, design, and deploy robust Machine Learning & GenAI systems, ensuring seamless integration with diverse platform services and establishing scalable LLMOps pipelines in production.
• Drive technical decision making while striving to hit the right balance between factors such as simplicity, flexibility, reliability, and performance.
• Lead initiatives to tune, optimize, and deploy agentic applications in production with a focus on performance, reliability, and security.
• Partner with Product, Security, and Platform Engineering teams to design AI-powered experiences that are both innovative and trustworthy.
• Design and implement scalable infrastructure and platform services for large-scale Generative AI use cases.
• Collaborate cross-functionally with product managers, researchers, and engineers to deliver secure, high-quality, and scalable AI/ML systems.

What you will do:

• Spearhead the design of scalable, observable ML and Generative AI systems that integrate retrieval, inference, and evaluation pipelines.
• Develop and iterate on structured prompting, context retrieval, and RAG workflows that improve accuracy, safety, and cost efficiency in Claude-based systems.
• Build and refine automated evaluation pipelines to measure model quality, correctness, groundedness, and safety in production.
• Implement schema validation, structured output enforcement, and other guardrails that keep AI outputs reliable, auditable, and compliant with enterprise standards.
• Mentor and coach engineers, contributing to the growth of the team and the larger engineering community.

What you bring:

• 7+ years of software development experience, with strong programming expertise in Python (and familiarity with Go or Typescript a plus).
• Hands-on experience with applied machine learning, from feature engineering to training and fine-tuning models.
• Hands-on experience with modern Generative AI platforms (AWS Bedrock, OpenAI, Anthropic, etc.).
• Deep understanding of retrieval-augmented generation (RAG), embeddings, and knowledge-base workflows.
• Hands‑on experience with LiteLLM, LangGraph, LangChain, LlamaIndex, MCP, or other related AI agent frameworks.
• Familiarity with ML frameworks (FastAPI, PyTorch, TensorFlow, Spark ML) and workflow orchestration tools (Airflow, etc.).
• Experience defining evaluation metrics, pipelines, and feedback loops for ML/GenAI systems.
• Proven ability to collaborate with product and engineering teams to drive greenfield initiatives forward, navigate unknowns, and iterate quickly and frequently.
• Experience building tools or infrastructure for AI/ML applications, with a deep understanding of the developer lifecycle in an AI‑native world.

Nice to haves:

• Experience integrating AI-driven systems with identity, authentication, or security products.
• Exposure to ethical AI, model risk, or compliance frameworks.
• Familiarity with evaluation datasets, synthetic data generation, or LLM-as-a-judge methods.

Below is the annual salary range for candidates located in Canada. Your actual salary will depend on factors such as your skills, qualifications, and experience. In addition, the company offers equity (where applicable), bonus, and benefits, including health, dental, and vision insurance, RRSP with a match, healthcare spending, telemedicine, and paid leave (including PTO and parental leave) in accordance with our applicable plans and policies. To learn more about our Total Rewards program, please visit: https://rewards.the company.com/can.

The annual base salary range for this position for candidates located in Canada is between $168,000-$231,000 CAD

The the company Experience

• Supporting Your Well-Being
• Driving Social Impact
• Developing Talent and Fostering Connection + Community

We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one.

the company is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws.

If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation.

Notice for New York City Applicants & Employees: the company may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please

the companyThe foundation for secure connections between people and technologythe company is the leading independent provider of identity for the enterprise. The the company Identity Cloud enables organizations to securely connect the right people to the right technologies at the right time. With over 7,000 pre-built integrations to applications and infrastructure providers, the company customers can easily and securely use the best technologies for their business. More than 19,300 organizations, including JetBlue, Nordstrom, Slack, T-Mobile, Takeda, Teach for America, and Twilio, trust the company to help protect the identities of their workforces and customers.