ML Data & Platform Engineer

United States Digital Space LLC; Town Of Cambridge; Hybrid; AUD 150,000 - 190,000; Full time

Benefits offered by this job

Flexible work

Medical & dental for you and family

Global opportunities

Generous leave

Pension matching

WFH allowance

Parental leave

Adoption support

Reproductive health

Job summary

Speechling seeks an ML Data & Platform Engineer to own the infrastructure powering our speech AI models—data pipelines, training, evaluation, and production serving. You will work across data infrastructure, distributed systems, and production ML, taking ownership of problems end to end.

This role involves designing scalable pipelines, building data acquisition solutions, and optimizing infrastructure for speed and reliability in a hybrid team environment.

Qualifications

• Strong Python and SQL backend or data engineering foundation.
• Experience with containerisation and orchestration (Docker, Kubernetes) and major cloud provider.
• Experience building data pipelines and ETL/ELT at scale, incl. web scraping or data collection.
• Solid understanding of the ML lifecycle from data to training, evaluation, and serving.
• Experience with data quality practices and production-grade observability.
• Ability to design resilient, scalable architectures and operate distributed systems.
• MLOps experience (model serving, experiment tracking, GPU training optimisation).
• Self-starter who identifies problems and drives fixes without detailed direction.

Responsibilities

• Design, build, and maintain scalable data pipelines for ingesting, transforming, validating, and storing large datasets for training.
• Develop data acquisition and scraping solutions to keep datasets fresh and high quality.
• Build and operate infrastructure to deploy and evaluate models in production and serve them efficiently.
• Optimize infrastructure for iteration speed and production reliability, incl. GPU utilization and scheduling.
• Implement observability across data pipelines and ML systems to catch issues early.

Skills

Python

SQL

Docker

Kubernetes

AWS

ETL/ELT pipelines

MLOps

Observability

Distributed systems

Data pipelines

Education

Bachelor's degree in Computer Science or related field

Tools

Airflow

Kafka

Job description

We're looking for an ML Data & Platform Engineer to own the infrastructure that powers our speech AI models: the pipelines that source and prepare training data, and the platform that trains, evaluates, and serves them in production. Speech AI has a data problem most ML teams don't, and you'll be at the centre of solving it, working as part of our ML team to remove friction across the entire lifecycle and get better models into production faster.

This is a broad, cross-functional role suited to someone who enjoys working across the full stack: data infrastructure, distributed systems, and production ML, and who takes ownership of problems end to end rather than waiting to be told what to fix.

What you'll do

• Designing, building, and maintaining scalable data pipelines for ingesting, transforming, validating, and storing large datasets used to train our models
• Developing and maintaining web scraping and data acquisition solutions to keep training datasets fresh, high-quality, and available at scale
• Building and operating the infrastructure that lets the ML team deploy and evaluate new models quickly, and that serves models efficiently and reliably in production
• Optimising infrastructure for both iteration speed and production reliability, including GPU utilisation, job scheduling, and training efficiency
• Implementing observability (monitoring, logging, alerting) across data pipelines and ML systems to catch issues early and keep things running smoothly
• Troubleshooting complex issues across distributed systems, spanning data infrastructure, training, and inference
• Continuously improving our data and MLOps practices, and helping shape the roadmap for how our platform evolves as we scale

What you'll need

• Strong proficiency in Python and SQL, with a solid backend or data engineering foundation
• Hands-on experience with containerisation and orchestration (Docker, Kubernetes), and working with a major cloud provider
• Experience building data pipelines and ETL/ELT processes at scale, including web scraping or automated data collection
• A solid understanding of the ML lifecycle, from data through to model training, evaluation, and serving
• Experience with data quality practices (validation, cleaning, normalisation) and/or production-grade observability
• Ability to design resilient, scalable architectures, and comfort operating and troubleshooting distributed systems
• MLOps experience, for example model serving, experiment tracking, GPU/distributed training optimisation, or reproducible ML workflows
• A self-starter mentality: comfortable identifying problems and driving fixes without needing detailed direction

Who we are:

the company is the leading expert in Speech Intelligence, and uses AI and Machine Learning to unlock business value in human speech worldwide. We work with an amazing mix of global companies, and our technology can integrate into our customers stack irrespective of their industry or use case – making it the go-to solution to harness useful information from speech.

Joining us means working with some of the smartest minds around the world, focused on cutting-edge projects and deploying the latest techniques to disrupt the market. We believe in putting people first; we’ll do all we can to help you develop your skills and give you the tools you need to thrive. Our Focus Fridays give you an undisturbed day of focus, offset with Together Tuesdays when we have our team meetings, so you've always got the right balance.

We have structured a hybrid approach that includes 2-3 designated office days each week. This arrangement ensures that while we embrace the advantages of remote work, we also maintain the vital connection and synergy that only in-person interactions can foster.

This is only the beginning; we’re looking for amazing people like you to continue our journey…

What we can offer you:

• Incredibly flexible working, regular company lunches, and birthday celebrations.
• Private Medical and Dental for you and your family.
• Global working opportunities.
• Generous holiday allowance.
• Pension/401K matching.
• Working from home allowance for tech or home office equipment (on top of your choice of laptop and accessories of course).
• Parental leave designed to support employees globally.
• Adoption assistance.
• Reproductive health services.

At the company, our mission is simple: Understand Every Voice out there.

That's not just about our tech – it's the heart and soul of who we are.We welcome different experiences, viewpoints, and identities. For us, it’s not just the right thing to do; it’s our catalyst for sparking innovation and creativity. Our teams thrive in an environment that celebrates and supports everyone – no matter their gender, identity or expression, race, disability, age, sexual orientation, religion, belief, marital status, national origin, veteran status, pregnancy, or maternity status.

But we don’t just open the door to diversity – we actively welcome it. Why? Because we believe every unique voice adds something special to our team, leading us to smarter solutions and a better workplace.

So, come as you are and join our Speechling community.

We’re building a place where every voice not only gets heard but is also respected and valued.

For more information on us,please visitour website and follow the company on our social channels viaTwitter,Facebook,LinkedIn,andYouTube.

***We rely on legitimate interest as a legal basis for processing personal information under the GDPR for purposes of recruitment and applications for employment.*#LI-Hybrid**