Staff AI Engineer

1 week ago

Sydney, New South Wales, Australia Culture Amp Full time

We are searching for a Staff Machine Learning Engineer to accelerate our capability in building and enhancing a machine learning platform powered by AI, Large Language Models (LLMs) and Generative AI.

Culture Amp has partnered with Google to utilize their Vertex AI platform. As part of the MLP team, you'll work with data scientists and other engineers to provide a central LLM gateway, enabling product teams across Culture Amp to leverage the power of Gen 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. The team is helping Culture Amp product teams to build features like in-context summarization, large volume text summarization, bias detection, sensitive comments detection, and more.

You will work closely with cross-functional teams to understand business needs and translate them into technical solutions. Engineering at Culture Amp is an inclusive practice, distributed across remote-friendly, cross-functional, lightweight Agile teams that embrace flexible work arrangements.

You will be surrounded by talented engineers, learning from others, as well as sharing your knowledge with them.

Key Responsibilities:

  • Participate in code reviews, architecture discussions, and contribute to best practices in ML engineering.
  • Collaborate and guide other engineers 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.
  • Cross-functional leadership and coaching other engineers in the team.
  • Play a tech lead role for the team, working with leadership to define the long-term technical vision for the team.

You are:

  • Passionate about machine learning, AI, and LLMs.
  • An 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.
  • Empathetic and kind, able to articulate your ideas and feelings when writing or speaking.
  • Self-motivated and able to work independently.

You have:

  • Python software engineering expertise.
  • Experience with various stages of the ML lifecycle and MLOps.
  • 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 seeking a talented individual to join our team and help us accelerate our capability in building and enhancing a machine learning platform powered by AI and Large Language Models.

Culture Amp has partnered with Google to utilize their Vertex AI platform. As part of the MLP team, you'll work with data scientists and other engineers to provide a central LLM gateway, enabling product teams across Culture Amp to leverage the power of Gen 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. The team is helping Culture Amp product teams to build features like in-context summarization, large volume text summarization, bias detection, sensitive comments detection, and more.

You will work closely with cross-functional teams to understand business needs and translate them into technical solutions. Engineering at Culture Amp is an inclusive practice, distributed across remote-friendly, cross-functional, lightweight Agile teams that embrace flexible work arrangements.

You will be surrounded by talented engineers, learning from others, as well as sharing your knowledge with them.

Key Responsibilities:

  • Participate in code reviews, architecture discussions, and contribute to best practices in ML engineering.
  • Collaborate and guide other engineers 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.
  • Cross-functional leadership and coaching other engineers in the team.
  • Play a tech lead role for the team, working with leadership to define the long-term technical vision for the team.

You are:

  • Passionate about machine learning, AI, and LLMs.
  • An 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.
  • Empathetic and kind, able to articulate your ideas and feelings when writing or speaking.
  • Self-motivated and able to work independently.

You have:

  • Python software engineering expertise.
  • Experience with various stages of the ML lifecycle and MLOps.
  • 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).

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