Machine Learning Engineer (Platform)
Artera$140,000 - $180,000/year
Full Time
Junior (1 to 2 years)
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
TechnologyIndustries
Requirements
- 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
Responsibilities
- 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
Skills
Key technologies and capabilities for this role
Questions & Answers
Common questions about this position
What is the work arrangement for this role?
The position is hybrid, requiring a mix of remote and on-site work.
What are the key skills required for this Data & ML Platform Engineer role?
Candidates need 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, database design, building and deploying ML models including language models, and model serving pipelines.
What is the salary or compensation for this position?
This information is not specified in the job description.
What is the company culture like at Homebase?
Homebase has a bold, fast-moving team obsessed with helping small businesses thrive, emphasizing building with empathy, acting with urgency, raising the bar, supporting one another, and celebrating wins together. They follow 'The Homie Way' principles like being customer obsessed, moving fast, owning impact, mastering your craft, and winning together.
What makes a strong candidate for this role?
A strong candidate has 5+ years in data and ML software development, expertise in key tools like SQL, Python, Databricks, Airflow, Kafka, Redshift, and ML model deployment, plus strong problem-solving, strategic mindset, attention to detail, and effective communication across stakeholders.
Homebase
Workforce management software for hourly employees
About Homebase
Homebase provides a digital platform that helps businesses with hourly workers manage their operations more effectively. The platform includes tools for time tracking, employee scheduling, payroll processing, and messaging. Businesses can use any device to track employee hours, breaks, and overtime, which simplifies payroll preparation by reducing paperwork. Managers can create and adjust schedules online, sharing them instantly with their teams. The payroll service automatically calculates paychecks, processes direct deposits, and files payroll taxes, making payroll management easier for small businesses. Additionally, the built-in messaging feature allows for effective communication between managers and employees, even when they are not in the same location. Homebase primarily serves small businesses and generates revenue by charging for its software and services. The goal of Homebase is to streamline workforce management for businesses that rely on hourly workers.
San Francisco, CaliforniaHeadquarters
2014Year Founded
$183.8MTotal Funding
SERIES_DCompany Stage
Consulting, Enterprise SoftwareIndustries
1,001-5,000Employees
Benefits
Stock options
Comprehensive insurance plans
401(k) with 4% company match
Remote, hybrid, and in-office work options
Top-of-the-line equipment and home office
Annual holidays and accrued PTO
Fun company activities
Risks
Increased competition from companies like Deputy could erode Homebase's market share.
Rapid Canadian expansion may strain resources and lead to operational challenges.
Dependency on third-party platforms like Lightspeed poses risks if partnerships change.
Differentiation
Homebase targets hourly workers, a segment often overlooked by HR tech companies.
The platform offers a comprehensive suite of tools for small business workforce management.
Homebase integrates payroll, scheduling, and communication in a single, user-friendly application.
Upsides
Homebase secured $60M in Series D funding, indicating strong investor confidence.
The company is expanding into Canada, doubling its workforce and opening a new office.
Integration with Lightspeed enhances Homebase's capabilities in workforce management.
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