mpathic

Benefits:

• 100% funded healthcare benefits

• Flexible-managed Paid Time Off (PTO)

• Funding for training and education

Education Requirements:

• Completed a masters or doctoral degree in psychology, counseling, social work or similar with minimum 5 years experience

Experience Requirements:

• minimum 5 years experience

• Experience with qualitative clinical coding systems in research or clinical practice

• Demonstrated history of remote work, telecommuting

• Interest in NLP, AI, ML, speech signal processing and other automated systems of assessing human behavior

• Experience with report writing for external stakeholders

Other Requirements:

• Ability to telecommute (e.g., internet and computer setup)

• Previous supervisory experience

• Ability to provide constructive and timely feedback

• Good organizational skills, attentive to details, and able to multitask

• Strong written, verbal, and presentation skills

• Comfort or past experience with Excel or Google Sheets and Slack

• Tolerates ambiguity and has tools for working through those moments of discomfort

• Awareness of the importance of confidentiality and the responsible handling of sensitive data

• Seeks out and integrates constructive feedback

• Brings knowledge of or active interest in learning about cloud-based machine learning systems, including monitoring and automated training (ML Ops)

• Loves all things automation and enjoys figuring out new ways to automate development processes

Responsibilities:

• Serve as Gold Standard annotator for all mpathic labeling manuals and maintain reliability with the labeling team

• Label transcripts as needed across customers using mpathic’s proprietary system.

• Conduct the preparation for and leading of annotation team meetings

• Assign and track completion of annotator assignments

• Assist in the creation of synthetic data and sourcing data resources for mpathic detections

Benefits:

• 100% funded healthcare benefits

• Flexible-managed Paid Time Off (PTO)

• Funding for training and education

Responsibilities:

• Lead the design, development, and implementation of cutting-edge machine learning models and algorithms focused on NLP and LLM-driven solutions.

• Partner with diverse teams, including software engineers, product managers, and domain experts, to define and fulfill project objectives.

• Conduct thorough analysis of large-scale and complex datasets to extract meaningful insights and determine applications for LLMs.

• Stay current with the latest advancements in NLP, Conversational AI, and LLM technologies to continually enhance our product offerings.

• Mentor junior team members, encouraging a culture of innovation, continuous learning, and knowledge sharing.

Benefits:

• 100% funded healthcare benefits

• Flexible-managed Paid Time Off (PTO)

• Funding for training and education

Experience Requirements:

• 5+ years of experience in software engineering, with a strong focus on backend development using .NET (C#)

Other Requirements:

• Hands-on experience with AWS services, architecture, and best practices for cloud-native applications.

• Expertise in SQL and NoSQL databases, including schema design and query optimization.

• Working knowledge of React and its ecosystem

Responsibilities:

• Build robust backend systems using .NET (C#) and other languages.

• Design, deploy, and manage scalable applications in AWS, leveraging services like ECS Fargate, DynamoDB, S3, and others.

• Work with both SQL (e.g., PostgreSQL) and NoSQL (e.g., DynamoDB) databases to support diverse data needs.

• Collaborate with frontend engineers and occasionally contribute to React-based applications.

• Write clean, maintainable, and well-documented code, ensuring adherence to best practices and coding standards.