Affinity Hospice

Affinity Hospice

Senior Machine Learning Engineer, AI Platform

Canada (Remote); Toronto, Ontario · Senior

Sponsorship not specified$160k-$220kDetected 116 days ago
PythonCI/CDMachine LearningPyTorchscikit-learnData EngineeringA/B TestingCRM

About the role

  • This is an applied machine learning position with a strong emphasis on engineering, rather than research.
  • You will play a key role in advancing our ML Engineering capabilities, particularly in information retrieval and eventually recommendation systems.
  • Qualifications Don't meet every single requirement?

Responsibilities

  • Own the full ML lifecycle: Take projects from ideation to production, including feature engineering, model selection, deployment, and model observability and evaluation.
  • Translate business needs into ML solutions: Gather product requirements and translate them into robust ML system design requirements.
  • Build recommendation and ranking systems: Architect and launch ranking and recommendation infrastructure from scratch, initially via integrated off-the-shelf models, and evolving to targeted and customized solutions in the long term.
  • Collaborate cross-functionally: Partner with cross-functional (product, infra, data engineering, and software engineering) teams to build robust, high-scale systems that underlie all of our data processing and ML Operations.
  • Affinity stitches together billions of data points from massive datasets to create a powerful, accurate representation of the world's professional relationship graph.
  • You will design and build AI systems that efficiently uncover insights from compelling business interaction data - an exciting and unique opportunity within the industry.
  • Team Connection: Virtual team-building activities and socials to keep our team connected, because building strong relationships is key to success.
  • We are committed to fair and transparent hiring practices, and our AI tools are regularly monitored to ensure they support-not replace-human judgment.
  • Virtual team-building activities and socials to keep our team connected, because building strong relationships is key to success.

Requirements

  • Experience with serving ML models for streaming and batch inference at scale.
  • Experience with vector or graph databases.
  • Proficiency in Python and modern ML frameworks (PyTorch, Scikit-learn, or similar).
  • Experience with observability tools for online and offline model evaluation, A/B testing, and tracing for AI applications.
  • Don't meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every qualification. At Affinity, we are dedicated to building a diverse, inclusive, and authentic workplace, so if you're excited about this role, but your past experience doesn't perfectly align with the qualifications above, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
  • Required:
  • 5+ years of experience in software engineering and/or Machine Learning experience in applying machine learning in production.
  • Hands-on experience developing ranking or recommendation systems from scratch, deployed at scale using techniques such as learn-to-rank, explainable recommendations
  • Strong understanding of machine learning techniques, including clustering and decision trees
  • Track record of building maintainable, testable, and production-grade codebases.

Nice to have

  • Experience with dataset engineering, including data curation, augmentation, and synthesis, to assist ML model improvement.
  • Experience with graph-based recommendation systems, such as graph NN.
  • Experience with packaging, CI/CD and pipeline automation.
  • We iterate quickly.
  • We make data-driven decisions and make the best decision for the moment based on the information available.

Skills

  • How we work:
  • What you'll enjoy at Affinity:
  • This represents the salary range that Affinity believes, in good faith, at the time of this posting, that it will pay for the posted job.
  • A reasonable estimate of the current range is $160,000 to $220,000 CAD.

Compensation

  • This represents the salary range that Affinity believes, in good faith, at the time of this posting, that it will pay for the posted job.

Benefits

  • We cover both you and your dependents' extended health benefit premiums and offer flexible personal & sick days to support your well-being.
  • Retirement Planning: We offer an RRSP plan to help you plan for your future.
  • Learning & Development: We provide an annual education budget and a comprehensive L&D program.
  • Wellness Support: We reimburse monthly for things like home internet, meals, and wellness memberships/equipment to support your overall health and happiness.
  • Please note that the role compensation details below reflect the base salary only and do not include any equity or benefits.
  • As a Senior Machine Learning Engineer, you will collaborate with data engineers, software engineers, and product managers to shape the future of private capital's leading CRM platform.

Company info

  • We iterate quickly. As such, you must be comfortable embracing ambiguity, be able to cut through it, and deliver value to our customers.
  • We are candid, transparent, and speak our minds while simultaneously caring personally with each person we interact with.
  • As owners, we take pride in everything we do.
  • We embrace a growth mindset, engage in respectful candor, act as playmakers, and "taste the soup" by diving deep into experiences to create the best outcomes for our colleagues and clients.
  • This job posting represents an active vacancy that we are currently seeking to fill.
  • We are are proud to have received Inc. and Fortune Best Workplaces awards as well as to be Great Places to Work certified for the last 5 years running.
  • Join us on our mission to make it possible for anyone to cultivate and fully harness their network to succeed.
  • Our company uses E-Verify to confirm the employment eligibility of all newly hired employees.
  • Based on this data, we offer our users the insights and visibility they need to nurture and tap into the opportunities in their team's network.
  • This role is part of the AI Platform team, which owns the AI services that power Affinity's industry-leading relationship intelligence platform.
  • We extract and retrieve information from billions of structured and unstructured data points to deliver actionable insights to customers.
  • At Affinity, we may use artificial intelligence (AI) tools as part of our recruitment process to help screen and evaluate candidate applications.
  • We offer an RRSP plan to help you plan for your future.
Apply directly at Affinity Hospice →Create a free account for alerts like thisView Affinity Hospice immigration profile

This listing is sourced directly from Affinity Hospice's careers page and normalized into a canonical job model.