ML Engineer at Mpathic
Remote / United States of America

About Us: Accurate understanding starts with empathy. As industry leaders, we're at the forefront of actionable conversation analytics. mpathic’s API powers SaaS platforms with real-time conversation analytics, training and suggestions, improving outcomes in healthcare and client services. With over a decade of scientific validation, mpathic's proprietary ML models deliver unmatched accuracy, enabling the detection, correction, and enhancement of over 90 human behaviors with the accuracy of human doctors.

Position Overview: We are seeking an experienced Senior Machine Learning Engineer with expertise in Natural Language Processing (NLP) and Conversational Analytics to join our growing team. As a key member of our machine learning department, you will play a crucial role in advancing our capabilities in conversational analytics by applying leading practices for building ML systems that are robust, secure, scalable and human-centered.

Responsibilities:

  • Lead and contribute to the design, development, and integration of machine learning models and algorithms focused on Natural language processing in a Software As A Service application.
  • Collaborate with cross-functional teams, including clinicians, software engineers, and product managers, to define and refine project goals and requirements.
  • Conduct in-depth analysis of large and complex datasets to derive meaningful insights and patterns.
  • Stay abreast of the latest advancements in NLP and Conversational AI, and integrate cutting-edge techniques into our solutions.
  • Mentor and provide guidance to junior team members, fostering a culture of continuous learning and improvement.
  • Work closely with stakeholders to understand business needs and translate them into technical requirements.

Qualifications:

  • Proven track record of designing and implementing successful machine learning models with a focus on NLP in a commercial environment.
  • Solid programming skills in languages like Python
  • Experience developing applications with TensorFlow, PyTorch, or similar.
  • Experience with large-scale data processing and analysis.
  • Strong understanding of machine learning frameworks, algorithms, and statistical modeling techniques.
  • Excellent communication skills and the ability to convey complex technical concepts to non-technical stakeholders.

Benefits:

  • Competitive salary
  • Comprehensive health, dental, and vision plans
  • 401(k) retirement plan with company match
  • Flexible work schedule
  • Professional development opportunities
  • Vibrant and collaborative work environment

How to Apply: If you are passionate about pushing the boundaries of NLP and Conversational Analytics and want to be part of a dynamic team, please submit your resume, a cover letter, and any relevant portfolio or project work. Please include "Senior ML Engineer - NLP" in the subject line