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Staff Machine Learning Engineer

2 months ago

Sydney, New South Wales, Australia Culture Amp Full time
About the Role

We are seeking a highly skilled Staff Machine Learning Engineer to join our Machine Learning Platform (MLP) team at Culture Amp. As a key member of this team, you will play a crucial role in accelerating our capability in building and enhancing machine learning platforms powered by AI and Large Language Models (LLMs).

Culture Amp has partnered with Google to leverage their Vertex AI platform, and as part of the MLP team, you will work closely with data scientists and engineers to provide a central LLM gateway that enables product teams across Culture Amp to harness the power of Generative AI and build impactful features.

The LLM gateway will provide governance, centralized logging and auditing, safe and responsible AI usage, monitoring and evaluating AI models, and mitigating prompt injections. You will work collaboratively with cross-functional teams to understand business needs and translate them into technical solutions.

Key Responsibilities
  • Participate in code reviews, architecture discussions, and contribute to best practices in ML engineering
  • Collaborate and guide other engineers in your team through pair/mob programming, writing solution designs, or giving feedback on pull requests
  • Stay up-to-date with the latest advancements in machine learning and AI technologies and integrate them into our products
  • Play a huge role in coaching and uplifting other engineers in the team
  • Play a tech lead role for the team and work closely with leadership to define long-term technical vision for the team
Requirements
  • Passionate about machine learning, AI (particularly Generative AI), and LLMs
  • Advocate of sensible, ethical, and responsible use of AI
  • Able to influence others without authority, working collaboratively with diverse engineers and cross-functional teams
  • A proactive and clear communicator
  • Self-motivated and able to work independently
Technical Skills
  • Python software engineering expertise
  • Experience with various stages of the ML lifecycle and MLOps: data labeling, fine-tuning models, evaluation, CI/CD, deployment, versioning, monitoring, etc.
  • Familiarity with machine learning libraries (e.g., TensorFlow, PyTorch, Hugging Face)
  • Understanding of transformer architectures and LLMs
  • Experience working with AI, machine learning, LLMs, and NLP
  • Experience working with cloud platforms and infrastructure (e.g., AWS, GCP)

We are looking for a talented engineer who is passionate about machine learning, AI, and LLMs, and has a strong track record of delivering high-quality solutions. If you are a motivated and collaborative individual who is excited about the opportunity to join our team, please submit your application.