Data & ML Platform Engineer, Homebase

CA$133.5-205k

Salary depends on job level. + Equity

SQL

Python

Kafka

Airflow

Redshift

Azure Databricks

Senior and Expert level

Toronto

More information about location

2 days a week in office

Employee scheduling software for small businesses

Be an early applicant

Employee scheduling software for small businesses

1001+ employees

B2BHRInternal toolsCommunicationFinancial ServicesSaaS

Be an early applicant

CA$133.5-205k

Salary depends on job level. + Equity

SQL

Python

Kafka

Airflow

Redshift

Azure Databricks

Senior and Expert level

Toronto

More information about location

2 days a week in office

1001+ employees

B2BHRInternal toolsCommunicationFinancial ServicesSaaS

Company mission

To make local business teams unstoppable.

Job

Company

Role

Who you are

5+ years of software development experience, specializing in data and ML
Expertise in SQL, Python, and Databricks
Experience with Airflow, Kafka, and Redshift
Proficiency in data modeling and database design
Proficient in building and deploying machine learning models (including language models)
Proficient in building model serving pipelines for batch, streaming, and real-time inference
Driving the operationalization of ML models, ensuring seamless deployment, monitoring, and continuous integration/continuous delivery (CI/CD) pipelines for ML systems
Strong problem-solving skills with a strategic mindset and attention to detail
Effective communicator and collaborator across technical and non-technical stakeholders
Experience comes in many forms—so if you're excited about this role, even if you don’t meet 100% of the qualifications, we encourage you to apply!

What the job involves

This Platform Engineer will be part of the team responsible for designing and implementing data and ML platform components to enable data engineering, data science, and product teams to build data- and ML-driven features, ensuring scalability, reliability, and seamless integration across workflows
Design, develop, and optimize the ingestion of large volumes of structured and unstructured data from diverse sources
Support data architecture transformation initiatives on Databricks, ensuring scalable and efficient systems
Guide the design and implementation of platform components for the training, deployment, and monitoring of ML models in production environments
Provide expertise on industry best practices, tools, and technologies in ML engineering
Drive the continuous improvement of data and ML workflows through automation and innovative solutions
Take full ownership of projects, ensuring successful delivery from planning to execution
Collaborate with cross-functional teams to gather business requirements and translate them into effective technical solutions

Application process

Meet the Talent Acquisition team, Mavel W
Meet the Hiring Manager, Kanchana P
Participate in a Talent Showcase
Meet Cross-functional Partners
Background Check + Offer Stage
Welcome to the team, Homie

Our take

Homebase provide employees and businesses with time tracking applications, with a range of other HR functionality built in. Homebase automates the process of managing employee scheduling, and also helps companies improve internal communications.

The company contributes to the reduction of paperwork in an office by turning an array of devices into time clocks that track hours and overtime, while also providing payroll support. This makes it easier for companies to remain in sync, running a more efficient operation as a result.

Given that Homebase's customer base of small businesses is not able to pay a lot for its product, scale is the key driver in the company's future success. With over 100,000 customers already, its significant venture capital backing will ensure that the company will be able to grow (notably it's investing in Canadian talent) to provide its services on a profitable scale.

Freddie

Company Specialist at Welcome to the Jungle

Insights

Top investors

29% employee growth in 12 months

Glassdoor (4.2)

Trustpilot (3.6)

Company

Funding (last 2 of 6 rounds)

Apr 2024

$60m

SERIES D

Nov 2021

$30m

GROWTH EQUITY VC

Total funding: $189m

Company benefits

Stock Options
Paid parental leave
Generous paid time off options
Offsites, customer days & social events
Work from Anywhere Month
Group health benefits coverage
Group RRSP with employer match + TFSA
Snacks + lunch on us at hub offices
MasterClass at Work for ongoing learning

Company HQ

Yerba Buena, San Francisco, CA

Leadership

John Waldmann

(Founder & CEO)

BA Political Science at Stanford. Associate at Boston Consulting Group, then KKR Capstone, before founding Homebase in 2014.

Salary benchmarks

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