Remote Machine Learning Engineer

Description:

• Valence has created the first AI native coaching platform for enterprises, providing personalized guidance and support to leaders and employees.
• The Machine Learning Engineer will report to the Head of AI and focus on implementing and optimizing machine learning models for a conversational AI coaching product aimed at Fortune 500 companies.
• Responsibilities include developing scalable data pipelines, optimizing models for performance and accuracy, and ensuring they are production-ready.
• The role involves improving user experience in conversational interactions using LLMs, analyzing user behavior with the product team, and conducting statistical analyses to enhance the end user experience.
• The engineer will engage in research and development of new Conversational AI approaches, document models and processes, and stay updated with the latest advancements in ML and Conversational AI.
• Support for coding and feature development will also be required.

Requirements:

• A Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field, or equivalent experience is required.
• Candidates should have 3+ years of professional experience in software engineering or AI/ML development, ideally with a Master's or Ph.D. in a related field.
• Practical experience and theoretical knowledge of language technologies such as dialogue systems, NLP, and Information Retrieval are necessary.
• A strong foundation in data structures, algorithms, and software engineering principles is essential.
• Proficiency in Python and relevant deep learning frameworks (e.g., PyTorch, Tensorflow, JAX) is required, along with experience in LLM model development and deployment.
• Familiarity with cloud deployment of ML systems (e.g., AWS, GCP, Azure) and open systems (e.g., Docker, Kubernetes) is needed.
• Strong analytical and problem-solving skills, as well as experience in structuring and running data-backed experiments, are important.
• Excellent written and verbal communication skills are required.
• Exposure to early-stage startups, preferably in B2B SaaS, is a plus.

Benefits:

• Employees will have ownership of projects and strategic priorities, regardless of their seniority.
• There are strong ties to the executive team, fostering a culture of transparency and engagement in strategic decisions.
• Options are available from day one, allowing employees to be on the ownership track immediately.
• The position offers a competitive salary and equity packages.
• Comprehensive health coverage (medical, dental, and vision) is provided from day one.
• Valence will provide necessary tools for success, including learning resources, hardware, office equipment, and software.
• Employees enjoy generous PTO, company-wide R&R shutdowns, and paid leave for parents.
• A WFH stipend, phone stipend, and support for working in co-working spaces are also included.