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Senior Machine Learning Engineer

2 months ago


Melbourne, Victoria, Australia Culture Amp Full time

About Culture Amp

Culture Amp stands at the forefront of enhancing employee experiences, serving over 25 million individuals across more than 6,500 organizations. Our platform empowers businesses to elevate employee engagement, optimize performance management, and cultivate high-performing teams. Leveraging people science and an extensive employee dataset, renowned companies such as Canva, On, Asana, Dolby, McDonald's, and Nasdaq rely on Culture Amp to drive their success.

With a strong backing from prominent venture capital firms, Culture Amp operates in multiple countries, including the US, UK, Germany, and Australia. Recognized by Forbes as one of the top private cloud companies and celebrated by Fast Company for innovation, we are committed to making a significant impact in the world of work.

Your Role in Shaping the Future

We are seeking a Senior Machine Learning Engineer to accelerate our development of a cutting-edge machine learning platform powered by AI and large language models (LLMs). Collaborating with Google, we utilize their Vertex AI platform to enhance our capabilities. As a member of the Machine Learning Platform (MLP) team, you will partner with data scientists and engineers to establish a centralized LLM gateway, enabling product teams to harness the power of Generative AI for impactful feature development. This gateway will ensure governance, centralized logging, safe AI usage, and effective monitoring of AI models.

The MLP team is instrumental in assisting Culture Amp's product teams in developing features such as in-context summarization, large-scale text summarization, bias detection, and sensitive comment identification. You will engage closely with cross-functional teams to translate business requirements into innovative technical solutions.

Engineering Culture

At Culture Amp, engineering is an inclusive practice, characterized by cross-functional, agile teams that embrace remote work and flexible arrangements. You will collaborate with talented engineers, sharing knowledge and learning from one another.

Key Responsibilities:

  • Engage in code reviews, architectural discussions, and contribute to best practices in machine learning engineering.
  • Guide fellow engineers through pair programming, solution design, and feedback on pull requests to foster a shared understanding of projects.
  • Stay informed about the latest advancements in machine learning and AI technologies, integrating them into our offerings.
  • Play a pivotal role in mentoring and uplifting team members.
  • Assume a technical leadership role, collaborating with leadership to define the long-term technical vision for the team.

Ideal Candidate Profile:

  • Deep passion for machine learning, AI (especially Generative AI), and LLMs.
  • Strong advocate for ethical and responsible AI practices.
  • Able to influence and collaborate effectively with diverse teams.
  • Proactive communicator who values empathy and is open to different perspectives.
  • Self-motivated and capable of working independently while seeking support when needed.

Required Qualifications:

  • Expertise in Python software engineering.
  • Experience across various stages of the machine learning lifecycle and MLOps, including data labeling, model fine-tuning, evaluation, CI/CD, deployment, and monitoring.
  • Familiarity with machine learning frameworks such as TensorFlow, PyTorch, and HuggingFace.
  • Understanding of transformer architectures and LLMs.
  • Experience in AI, machine learning, LLMs, and natural language processing (NLP).
  • Experience with cloud platforms and infrastructure, such as AWS and GCP.

At Culture Amp, we believe our employees are the cornerstone of our success. We are dedicated to creating a supportive work environment that nurtures personal and professional growth while making a positive impact. Our competitive compensation package includes:

  • Employee Share Options Program, allowing you to share in our success.
  • Programs and budgets for personal and professional development.
  • Access to mental wellbeing resources and coaching support.
  • Monthly Camper Life Allowance to enhance your experience outside of work.
  • Team budgets for team-building activities.
  • Quarterly wellbeing pauses for collective rest and restoration.
  • Extended year-end breaks for rejuvenation.
  • Comprehensive parental leave and support from day one.
  • Five Social Impact Days annually to contribute positively to the community.
  • MacBooks and a home office budget to optimize your work environment.
  • Medical insurance coverage for you and your family (available for US & UK only).

We are also committed to fostering diversity, equity, and inclusion within our workforce, with Employee Resource Groups and ally communities in place. Our dedication to anti-racism drives us to lead by example and support our customers in creating a better world of work.

We encourage diverse candidates to apply, as we value unique experiences that can enhance our team.