Hybrid Director of Machine Learning

Posted 3 months ago

Apply now

About the role

  • Director of Machine Learning leading applied science and AI initiatives at Loopio. Driving strategic direction and overseeing engineering workflows across global teams.

Responsibilities

  • Set strategic vision and direction for Agentic Proposal Workflows, ensuring alignment with enterprise priorities to maximize business impact.
  • Define and execute the roadmap for the Agentic Proposal Workflows suite, establishing policies and standards while anticipating industry shifts in multi-agent architectures.
  • Serve as the executive champion for the Agentic AI Platform, articulating its value to senior stakeholders, influencing enterprise decision-making, and fostering a culture of AI innovation and accountability.
  • Set the scientific and technical direction for the ML function, leading advancements in NLP, LLM fine-tuning, generative AI, and agentic systems.
  • Oversee architecture and technical strategy for end-to-end ML workflows, including data pipelines, training, deployment, monitoring, and continuous improvement.
  • Design and implement intelligent agent workflows, such as reasoning engines, planner-reflector loops, and adaptive feedback pipelines, while adapting emerging research into scalable production systems.
  • Build, scale, and mentor a world-class applied science organization across Canada, India, and the UK, including developing future managers and science leaders.
  • Foster a high-performing culture centered on ownership, urgency, technical excellence, and continuous learning.
  • Oversee planning, prioritization, and execution of ML initiatives, managing dependencies, risks, and alignment with business goals.
  • Establish robust evaluation pipelines, golden datasets, and measurement frameworks to ensure rigor and tie outcomes to business metrics.
  • Champion operational excellence by embedding observability, drift and bias monitoring, and root cause analysis into ML systems and processes.
  • Partner with Product, Design, and Engineering to integrate ML systems into workflows, communicate trade-offs, and deliver measurable customer impact.

Requirements

  • Proven experience setting technical strategy for applied ML initiatives and aligning them with enterprise business priorities.
  • Ability to influence executive stakeholders and articulate the value of AI platforms in driving organizational impact.
  • Deep expertise in NLP, transformers, LLMs, retrieval-based methods, and multi-agent systems, with a track record of moving research into production.
  • Strong programming and architecture skills, with hands-on experience in PyTorch, TensorFlow, and designing scalable ML services and APIs.
  • 4+ years leading applied ML teams, including experience mentoring managers and building globally distributed, high-performing organizations.
  • Demonstrated success fostering cultures of accountability, technical excellence, and continuous learning.
  • Strong execution skills in planning, prioritization, and risk management for complex applied science initiatives.
  • Experience implementing evaluation pipelines, monitoring systems, and operational processes that ensure both scientific rigor and production reliability.
  • Ability to drive measurable customer and business outcomes through applied AI systems.

Benefits

  • Your manager supports your development by providing ongoing feedback and regular 1-on-1s, we leverage __Lattice__ for our 1:1s and performance conversations
  • You will have the opportunity to elevate 🪄 your craft and the opportunity to explore your creativity, with a dedicated professional mastery allowance for more learning support! We encourage experimentation and innovative thinking to drive business impact.
  • We offer a wide range of __health and wellness benefits__ to support your physical and mental well-being, starting day 1️⃣ with Loopio.
  • We’ll set you up to work remotely with a MacBook laptop 🍏, a monthly phone and internet subsidy, and a work-from-home budget to help get your home office all set up.
  • You’ll be joining a supportive culture that has thoughtfully built out opportunities for connections in a remote first environment.
  • Participate in 🎤 townhalls, AMA (Ask-Me-Anything), and quarterly celebrations to celebrate the big wins and milestones as #oneteam!
  • Our four active __Employee Resource Groups__ offer opportunities for employees to learn and connect year-round.
  • You’ll be a part of an award-winning workplace 🏆with an opportunity to make a big impact on the business.

Job title

Director of Machine Learning

Job type

Experience level

Lead

Salary

Not specified

Degree requirement

Bachelor's Degree

Location requirements

Report this job

See something inaccurate? Let us know and we'll update the listing.

Report job