Senior Machine Learning Engineer, AI Insights

Affinity.co; Toronto; On-site; CAD 113,000 - 187,000; Full time

Job summary

A leading technology company in Toronto is seeking a Senior Machine Learning Engineer. The role involves designing AI systems, collaborating with cross-functional teams, and building ML applications at scale. Candidates should have 5+ years in software engineering or machine learning, experience with distributed systems, and proficiency in Python and ML frameworks. This position offers a competitive salary range of $113,000 to $187,000 CAD, with excellent benefits including health, retirement planning, and wellness support.

Benefits

Health Benefits

Retirement Planning

Learning & Development

Wellness Support

Virtual team-building activities

Qualifications

• 5 years of experience in software engineering and/or Machine Learning with a focus on ML Engineering and ML Ops.
• Experience in architecture design for distributed systems.
• Proficient in building services in Python and common ML frameworks such as PyTorch and Scikit-learn.

Responsibilities

• Take projects from ideation to production including feature engineering, model selection, deployment, and model observability.
• Gather product requirements and translate them into robust ML system design requirements.
• Collaborate with cross-functional teams to build robust high-scale systems.

Skills

Software Engineering

Machine Learning Engineering

ML Ops

Python

PyTorch

Scikit-learn

Distributed Systems

Large Datasets

Cross-functional Collaboration

Tools

Docker

Spark

Kafka

Databricks

Job description

Overview

Affinity stitches together billions of data points from massive datasets to create a powerful accurate representation of the worlds professional relationship graph. Based on this data we offer our users the insights and visibility they need to nurture and tap into the opportunities in their teams network.

This role is part of the AI Insights team which owns the services that power Affinity's industry-leading relationship intelligence platform. Our team extracts and retrieves information from billions of structured and unstructured data points to deliver insights to our customers. As a Senior Machine Learning Engineer you will collaborate with data engineers, software engineers and product managers to shape the future of private capitals leading CRM. In this role you will design and build AI systems that efficiently uncover insights from compelling business interaction data, an exciting and unique opportunity within the industry.

This is an applied machine learning position with a strong emphasis on engineering, not research. You will play a key role in advancing our ML Ops and ML Engineering capabilities.

Responsibilities

• Take projects from ideation to production including feature engineering, model selection, deployment, and model observability and evaluation.
• Gather product requirements and translate them into robust ML system design requirements.
• Work on a variety of information extraction, information storage and information retrieval problems from both structured and unstructured data sources.
• Architect efficient and scalable systems to support serving inference services.
• Develop reusable AI-based services including ML models, foundation models and agents that will be consumed by other backend services at Affinity.
• Lead complex technical initiatives and provide technical input for peers through system design reviews, code reviews and promoting best practices.
• Collaborate with cross-functional teams (product, infra, data engineering and software engineering) and ML engineering teams to build robust high-scale systems that underlie all of our data processing and ML Operations.

Qualifications

Dont 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 youre excited about this role but your past experience doesnt 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 with a focus on ML Engineering and ML Ops.
• Experience in architecture design for distributed systems.
• Building maintainable and testable codebases and services.
• Developing ML systems such as recommendation systems and information retrieval solutions.
• Relational DB, non-relational DB and vectorDB.
• Developing AI applications powered by LLMs and/or agents.
• Proficient in building services in Python and common ML frameworks such as PyTorch and Scikit-learn.
• Experience with observability tools for both online and offline evaluation and tracing for AI applications.
• Demonstrated experience working with large datasets and comfortable with high-scale data ingestion, transformation, analysis and prediction tools.
• Experience working collaboratively with engineering, product, data and other cross-functional teams.

Nice to Have:

• Experience with developing machine learning applications at scale from inception to driving user impact.
• Familiar with serving machine learning models for streaming and batch inference at scale.
• Experience with packaging, CI / CD and pipeline automation.
• Good understanding of machine learning systems testing, benchmarking and online monitoring.
• Experience with dataset engineering including data curation, augmentation and synthesis to assist ML model improvement.

Tech stack:

Our ML pipeline manages multiple Python services that support various AI features, including OCR to extract information from unstructured data, serving embedding models to vectorize chunks and ranking a list of recommendations based on relevance and user preference. We maintain the Docker images and deployment pipeline via CircleCI. Our data stack includes Spark, Python, Kafka and Databricks.

How we work

Our culture is a key part of how we operate as well as our hiring process:

• We iterate quickly. 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.
• We make data-driven decisions and make the best decision for the moment based on the information available.

If youd want to learn more about our values, click here.

What youll enjoy at Affinity

• We live our values: 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.
• Health 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.
• Team Connection: Virtual team-building activities and socials to keep our team connected because building strong relationships is key to success.

Please note that the role compensation details below reflect the base salary only and do not include any equity or benefits. 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 $113,000 to $187,000 CAD. Within the range individual pay depends on various factors including geographical location and review of experience, knowledge, skills, and abilities of the applicant.

About Affinity

With more than 3,000 customers worldwide and backed by some of Silicon Valley's best firms, Affinity has raised $120M to empower dealmakers to find, manage and close more deals. Our Relationship Intelligence platform uses the wealth of data exhaust from trillions of interactions between Investment Bankers, Venture Capitalists, Consultants and other strategic dealmakers to deliver automated relationship insights that drive over 450,000 deals. We 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.

We use E-Verify

Our company uses E-Verify to confirm the employment eligibility of all newly hired employees. To learn more about E-Verify including your rights and responsibilities please visit Experience :

Employment Type : Full Time

Experience : years

Vacancy : 1

Monthly Salary Salary : 113000 - 187000