Machine Learning Engineer- Software

United States Digital Space LLC; United States; Hybrid; USD 100,000 - 130,000; Full time

Benefits offered by this job

12 weeks paid parental leave

Health and wellness programs

Team discounts

Job summary

United States Digital Space LLC is looking for a Machine Learning Engineer to develop advanced analytics solutions using Google Cloud. You will work in multidisciplinary teams, focusing on productionising and scaling solutions to address diverse business challenges.

The ideal candidate has over 3 years of software development experience and expertise in Python, SQL, and Linux. Along with a robust benefits package, the company promotes an inclusive workplace culture.

Qualifications

• 3+ years of commercial software development experience.
• 2+ years of hands-on experience in Python, SQL, and Linux.
• Experience building Machine Learning / Data pipelines.

Responsibilities

• Design and develop Advanced Analytics solutions using Google Cloud products.
• Grow the Engineering Guild capability through innovative tech.
• Work collaboratively to develop cutting-edge retail tools.

Skills

Python

SQL

Linux

Machine Learning

MLOps

RESTful APIs

Google Cloud Platform

Education

Bachelor’s degree in Computer Science or Engineering

Tools

Docker

Tableau

Job description

Machine Learning Engineer - DMA Social Media

• Sydney office locations with WFH flexibility
• Work on a range of high impact data projects
• Design, develop, implement, scale and maintain Advanced Analytics Solutions

What you will do:

Design, develop, implement, scale and maintain Advanced Analytics solutions using predominantly Google Cloud (GCP) products. This includes for example data models and pipelines, API endpoints, Machine Learning (ML) features and predictive models.

This work is done in multidisciplinary teams in close partnership with Data Scientists, with engineers having the primary responsibility for productionising and scaling solutions.* Develop Cloud based ML pipelines to solve a broad range of business problems.

• Grow the Engineering Guild capability through pioneering new tech and approaches to improve time to market, reliability and performance of Data Science applications
• Work collaboratively with Data Scientists, ML Engineers & Data Engineers to develop cutting edge retail tools in an agile manner.
• Create, present and seek inputs and feedback on architecture, solution designs and foster alignment and support for solutions.
• Apply relevant testing frameworks to ensure the robustness of solutions.
• Communicate analyses, insights, solution designs and showcase working solutions.

What you will bring:

We are looking for an experienced ML Engineer, with a problem solving mindset, able to take sometimes nebulous and abstract challenges, break it down into components and develop solution hypotheses.* Bachelor’s degree or above in Computer Science, Engineering, or a related field.

• 3+ years of commercial software development experience.
• 2+ years of hands‑on experience in Python, SQL, and Linux.
• Hands‑on experience with manipulating and processing large, complex datasets (preferred).
• Hands‑on experience with social media statistics/metrics APIs/tools (preferred).
• Hands‑on experience with containerised solutions such as Docker (preferred).
• Hands‑on experience with GenAI(LLM) solutions (preferred).
• Experience building Machine Learning / Data pipelines (preferred).
• Experience building RESTful APIs (preferred).
• Experience in ML Engineering, MLOps, or DevOps (preferred).
• Experience with ML algorithms, techniques, and packages (preferred).
• General experience in dashboarding and reporting (e.g., Tableau) (preferred).
• Security: Experience with Orca, Snyk, and GitHub Security (preferred).
• Familiarity with Google Cloud Platform (GCP) (preferred).

Benefits:

• A global business with endless career possibilities around every corner and across every discipline – with valuable exposure to a vast and exciting business network.
• Team discounts across our range of the company brands you know and love and a robust rewards program that celebrates and incentivises purpose‑driven work.
• 12 weeks paid parental leave for primary caregivers plus paid superannuation for up to 12 months while the Team Member is on parental leave – eligible from the first day of employment.
• A range of programs to help you prioritise and manage your wellbeing, including 24/7 access to the Sonder app. A progressive and competitive leave policy that gives you more space for what matters to you.

Everyone belongs at the company. As one of the largest employers in Australia and New Zealand, we aim to create a truly inclusive workplace where everyone feels that they belong, can be their best selves, and reach their full potential. Diversity, equity, inclusion, and belonging are key to realising our purpose of better together for a better tomorrow. We recognise the value our team’s diversity brings to our business, customers, and communities and that teams with diverse experiences and backgrounds enrich our group and are better able to innovate and solve problems. If you meet some, but not all of the requirements, we encourage you to submit your application.