This job post is closed and the position is probably filled. Please do not apply.
🤖 Automatically closed by a robot after apply link
was detected as broken.
Description:
Culture Amp is seeking a Senior Machine Learning Engineer to enhance their machine learning platform powered by AI and LLMs.
The role involves working with data scientists and engineers to create a central LLM gateway for product teams to utilize Generative AI.
Responsibilities include providing governance, centralized logging, auditing, monitoring AI models, and ensuring safe AI usage.
The MLP team is focused on developing features such as in-context summarization, large volume text summarization, bias detection, and sensitive comments detection.
The position requires collaboration with cross-functional teams to translate business needs into technical solutions.
Engineering practices at Culture Amp are inclusive, distributed across Agile teams, and support flexible work arrangements.
The role includes participating in code reviews, architecture discussions, and contributing to best practices in ML engineering.
The engineer will stay updated on advancements in machine learning and AI technologies and integrate them into products.
Requirements:
Candidates must have a passion for machine learning, AI (especially Generative AI), and LLMs.
A strong advocate for ethical and responsible AI usage is essential.
The ability to influence others without authority and work collaboratively with diverse teams is required.
Clear communication skills, with an emphasis on empathy and kindness, are necessary.
Self-motivation and the ability to work independently are important traits.
Expertise in Python software engineering is required.
Familiarity with the ML lifecycle and MLOps, including data labeling, model fine-tuning, evaluation, CI/CD, deployment, versioning, and monitoring, is necessary.
Experience with machine learning libraries such as TensorFlow, PyTorch, and HuggingFace is required.
Understanding of transformer architectures and LLMs is essential.
Experience in AI, machine learning, LLMs, and NLP is required.
Familiarity with cloud platforms and infrastructure, such as AWS and GCP, is necessary.
Benefits:
Employees are offered an Employee Share Options Program to share in the company's success.
Culture Amp provides programs, coaching, and budgets to support personal and professional growth.
Access to external mental wellbeing and coaching support is available to ensure employee safety and development.
A monthly Camper Life Allowance is provided to enhance life outside of work.
Team budgets are allocated for team-building activities and connection.
Intentional quarterly wellbeing pauses allow for company-wide shutdown days for restoration and rest.
Extended year-end breaks are offered for additional refreshment.
Excellent parental leave and in-work support programs are available from day one.
Employees receive 5 Social Impact Days annually to contribute positively to the community.
MacBooks and a work-from-home office budget are provided to facilitate a productive work environment.
Medical insurance coverage is available for employees and their families in the US and UK.