Machine Learning Engineer

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, Attlassian, Figma, Zoox and Robinhood.

What you'll do:

We’re looking for a Machine Learning Engineer to join our team and help us develop solutions and oversee and guide the development of 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.
• You will push the quality and excellence bar by advocating for and practicing engineering best practices, including code reviews, testing, code quality, security, and monitoring.
• You will have an active voice in shaping both technology and product decisions.

Technical Requirements:

• Experience in serving AI-based products in real world applications.
• 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).
• Experience with working on production level customer data using Pandas, SQL, and AWS Services.
• Familiarity with Vector Databases such as Pinecone.
• Experience with productionizing ML models (Docker etc.).
• Experience with standard Machine Learning technologies (e.g. TensorFlow, PyTorch, HuggingFace, etc.)

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 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