Senior Associate Machine Learning Engineer

Join our team as a Senior Associate Machine Learning Engineer, where you will collaborate with innovative engineers to deliver AI-powered agents that integrate into HR and Financial workflows. You will develop relationships with software engineers, machine learning engineers, and data scientists, and apply your understanding of the AI system lifecycle. You will implement and integrate AI tools, frameworks, and platforms, and stay up to date with advancements in AI. You will work with product, engineering, and data science teams to implement AI-based automation solutions, and collaborate with external AI vendors, cloud providers, and open-source communities. You will also contribute to establishing monitoring, feedback loops, and continuous learning mechanisms to improve agent performance over time.

- 3+ years experience as a member of a data science, machine learning / AI engineering, or other relevant software development team building applied machine learning products at scale, including taking products through applied research, design, implementation, production, and production-based evaluation
- 1+ years of professional experience in building services to host machine learning models in production at scale with cloud computing platforms (e.g. AWS, GCP, etc.)
- Bachelor’s (Master’s or PhD preferred) degree in engineering, computer science, physics, math or equivalent
- 2+ years of professional experience with Python, Java, C++, etc. and supporting numeric libraries, with experience in shipping production code and models
- 1+ years of professional experience working with large language models (LLMs), text generation models, and/or graph neural network models for real-world use cases
- Excellent interpersonal and communication skills, with the ability to build strong relationships across teams and stakeholders
- Proven track record of successfully leading, mentoring, and/or managing ML Engineering teams, taking ownership of development lifecycle and sprint planning; fostering a culture of collaboration, transparency, innovation, etc
- Professional experience in independently solving ambiguous, open-ended problems and technically leading teams
- 1+ years of professional experience in machine learning and deep learning frameworks & toolkits such as Pytorch, TensorFlow, Huggingface
- Stay up to date with advancements in AI, LLMs, RAG, autonomous agents and orchestration frameworks to drive innovation
- Deep understanding of statistical analysis, unsupervised and supervised machine learning algorithms, and natural language processing for information retrieval and/or recommendation system use cases