Data & ML Platform Engineer, Homebase

Salary not provided

+ Stock Options

SQL
Python
Kafka
Airflow
Redshift
Mid and Senior level
Toronto

More information about location

2+ days a week in office

Homebase

Employee scheduling software for small businesses

Job no longer available

Homebase

Employee scheduling software for small businesses

501-1000 employees

B2BHRInternal toolsCommunicationFinancial ServicesSaaS

Job no longer available

Salary not provided

+ Stock Options

SQL
Python
Kafka
Airflow
Redshift
Mid and Senior level
Toronto

More information about location

2+ days a week in office

501-1000 employees

B2BHRInternal toolsCommunicationFinancial ServicesSaaS

Company mission

To make work easier for small businesses and their teams.

Role

Who you are

  • 4+ years of software development experience, specializing in data and ML
  • Expertise in SQL, Python, and Databricks
  • Experience with Airflow, Kafka, Redshift
  • Proficiency in data modeling and database design
  • Experience having done data architecture transformations in Databricks
  • Proficient in building and deploying machine learning models (including language models)
  • Proficient in building model-serving pipelines for batch, streaming, and real-time inference
  • Strong problem-solving skills with a strategic mindset and attention to detail
  • Effective communicator and collaborator across technical and non-technical stakeholders

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
  • Driving the operationalization of ML models, ensuring seamless deployment, monitoring, and continuous integration/continuous delivery (CI/CD) pipelines for ML systems

Application process

  • Meet the Talent Acquisition team
  • Meet the Hiring Manager
  • Participate in technical interviews
  • Meet the Leadership Team
  • Professional Reference Checks
  • Background Check + Offer Stage
  • Welcome to the team, Homie💜🎉
  • By participating in interviews with Homebase, you consent to the use of Metaview, a recording and transcription tool, during the interview process. Please be aware that all interviews may be recorded and transcribed for the purpose of evaluating candidates and ensuring the quality of our recruitment process
  • If you do not consent to being recorded, please inform the Talent Team at the beginning of the call, and appropriate arrangements will be made to accommodate your preference. Your privacy is important to us, and the recorded interviews will only be used for internal evaluation and assessment of candidates

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Insights

Top investors

29% employee growth in 12 months

Company

Company benefits

  • Stock Options - everyone is an owner
  • Comprehensive Insurance Plans
  • 401(k) program +4% company match
  • Hybrid and in office work based out of Houston, Texas
  • Top-of-the-line equipment and home office $$
  • Annual Holidays and Accrued PTO
  • A dynamic, well-connected, productive team
  • Fun company activities

Funding (last 2 of 6 rounds)

Apr 2024

$60m

SERIES D

Nov 2021

$30m

GROWTH EQUITY VC

Total funding: $189m

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.

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Freddie

Company Specialist at Welcome to the Jungle