Platform Machine Learning Engineer

We’re looking for a Machine Learning Engineer to join our team and help us develop and maintain solutions for our client applications from both AI and Data perspectives. You will work directly with the founders and a team of engineers.

Responsibilities

You will be working in a cross-disciplinary field and will need to understand non-technical users’ requirements, build and ship high-quality products quickly to solve customer problems.
As a small team, it is important for individuals to take ownership of their work and collaborate with the team to design, prototype and productionize new solutions to solve user problems.
We use state-of-the-art technologies to build our solution, so you are strongly encouraged to stay up-to-date with the latest research and trends in AI and NLP.
Push the quality and excellence bar by advocating for and practicing engineering best practices, including code reviews, testing, code quality, security, and monitoring.
Have an active voice in shaping both technology and product decisions.

technical requirements

Experience pre-training/fine-tuning language models.
Experience in serving AI-based products in real world applications, building and maintaining endpoints that use ML models.
Experience with building data pipelines, scrapers and ETL.
BS, MS, or PhD in Computer Science, Mathematics, Statistics, or other quantitative fields or related work experience.
Familiarity with the latest methods and developments in LLMs (Search, RAG, Agents etc.).
Proven Software Engineering skills (primarily Python) and best practices.
Experience with working on production level customer data using Pandas, SQL, and AWS Services.
Familiarity with Vector Databases such as Qdrant.
Experience with systematically monitoring and benchmarking ML based systems.

personal attributes

Adaptability: Ability to quickly adjust to changing priorities and responsibilities.
Proactivity: Taking initiative and driving projects forward without waiting for direction.
Resourcefulness: Finding creative solutions with limited resources.
Ownership: Taking responsibility for the quality of work and proactively identifying and resolving issues.
Growth Mindset: Continuously learning and developing new skills to stay ahead of the curve.

what you’ll get

Superannuation
Work hour flexibility
Chance to work with smart people on interesting problems
Using cutting-edge technology
Opportunity to make a significant impact on a growing company

NOTES

We are a remote-first company, but will have office spaces as we grow.
Preferred location: Sydney, Australia.

We teach computers science.

OUR WHY

We are building the brain behind the chemical industry. Chemistry touches nearly every aspect of our lives and the problem we're trying to solve has significant scope and magnitude and will directly affect people's lives for the better if we're successful. We are doing something that has never been done before - operating at a unique intersection of the physical and digital world.

who we are

We are a fast growing VC-backed start-up bringing AI into the $5T chemical industry. We’re a unique team of engineers and scientists who are all motivated by a common mission to change how chemists work everyday. Despite being an early-stage startup, we have impressive traction and early signs of product market fit. We’re moving fast and have recently secured funding from investors, operators and angels that have backed the likes of Canva, Atlassian, Figma, Zoox and Robinhood.

Platform Machine Learning Engineer

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We teach
computers science.

We teach
computers science.

Join our team

We teach computers science.

Join our team.