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Principal Machine Learning Engineer



Software Engineering
New York, NY, USA
Posted on Wednesday, February 7, 2024

Our mission at Talkspace is to help people heal. To get there, we need exceptionally passionate, bright, and motivated people. Want to help over one million people receive quality mental healthcare? Come join our mission of getting therapy in the hands of everyone!

We are currently searching for an experienced Principal Machine Learning Engineer to be a pivotal part of our Technology team. In this role, you will play a crucial role in advancing the boundaries of machine learning to develop AI solutions that directly align with Talkspace's mission. We are looking for someone with a track record of expertise in AI for mental health applications, complemented by a history of publishing academic research papers.

What You’ll Do:

  • Orchestrate Collaboration Across Teams: Command cross-functional collaboration with business stakeholders, the product team, data science department, and engineers to conceive and craft innovative algorithms and services.
    • Keyword and Topic Extraction
    • Emotion/Sentiment Identification
    • Text summarization
    • Text classification
    • Recommender systems
    • Intent detection and query parsing
  • Drive Strategic Technical Planning: Take charge of technical scoping and meticulous requirements gathering for machine learning projects, steering them seamlessly from the realms of research and development to full-scale production deployment.
  • Translate Business Imperatives into Machine Learning Solutions: Exhibit ownership in translating complex business requirements into impactful machine learning solutions, overseeing the entire execution lifecycle in close collaboration with data scientists.
  • Lead Comprehensive Machine Learning Execution: Lead the end-to-end execution of machine learning projects, instilling direction and cohesion in collaboration with data scientists and other relevant stakeholders.
  • Spearhead Tools Development: Spearhead the development of sophisticated tools for dataset creation, model training, and evaluation within the AWS environment, showcasing a commitment to cutting-edge advancements in machine learning infrastructure.
  • Architect Production-Critical Systems: Take ownership in implementing and maintaining robust build and deploy systems, ensuring the seamless operation of production-critical data science services.
  • Present Work Externally: Showcase the impact of machine learning projects through external presentations and papers, contributing to thought leadership in the field.
  • Participate in Industry Panels: Engage with industry peers by participating in panels and discussions, sharing insights and advancements in the application of machine learning within health tech.
  • Grow the Machine Learning Function at Talkspace: Leverage your expertise to not only lead machine learning projects but also contribute strategically to the continuous evolution of the function at Talkspace, including potential mentorship and hiring based on business needs.

About You

  • You hold a PhD in Computer Science, Data Science, or an Engineering-related discipline.
  • 15+ years of experience developing and deploying product-quality code.
  • 7-10+ years of experience with NLP techniques and models for text analysis, sentiment analysis, language understanding, and generation.
  • Deep experience with Python and SQL.
  • You have a strong portfolio of published academic research papers.
  • You have mastery of deep learning frameworks, and experience with deep neural networks for complex problem-solving.
  • You have a commitment to ethical AI practices and an understanding of the ethical considerations and potential biases in AI within healthcare.
  • You have extensive experience with cloud-based machine learning services and platforms (e.g., AWS SageMaker, Google AI Platform) for model development and deployment.


  • Comprehensive Medical, Dental, and Vision plans coverage since day one.
  • Pre-tax benefits: HSA/FSA.
  • 401k Retirement Savings Program with matching up to 4%.
  • Voluntary benefits including disability, basic life, or pet insurance, etc.
  • Monthly Wellness Stipend to promote mental and physical self-care.
  • Flexible PTO and Remote First Environment.
  • Regular team events, including Wellness Workshops and Team Building Events.
  • Free access to Talkspace products for you and one household member, as well as access to a friends and family discount!


At Talkspace, we believe that pay transparency during the interview process is a critical part of diversity, equity, and inclusion. Our salary bands are based on internal and external compensation benchmarks, which we regularly evaluate to ensure we pay competitively.

Within the salary bands, leveling corresponds to each candidate’s relevant experience, skills as assessed during the interview process, education, and applicable certifications. At this level, we are looking to have a conversation with candidates to benchmark a Senior-to-Principal level Engineer.

Why Talkspace?

Talkspace is the most comprehensive and convenient way to take care of your mental health and wellness, focused on providing quality mental health services on your own terms.

Our signature psychotherapy and psychiatry product connects individual users with a network of thousands of licensed mental health providers through an easy-to-use and HIPAA-compliant web and mobile platform. With Talkspace, users can connect their dedicated provider via live video, text, or phone.

Backed by over 10 years of industry-leading research and clinically proven results, our accessible care model continues to make huge strides in lowering the barriers to quality mental healthcare services nationwide. Talkspace is the top insurance-covered therapy service with over 112 million Americans covered and a leader within the Corporate Wellness Space, with more than 200 employer partnerships across several industries.

Our focus to help people feel better starts at Talkspace, where we connect and collaborate as a team to make the world a better place. Fun company-wide events, happy hours, wellness perks, flex PTO, access to Talkspace products, and competitive benefits are just some of the ways we make Talkspace a great place to work. Do you want to save the world? Come join us!


Talkspace welcomes and celebrates talent from all backgrounds, perspectives, and walks of life to foster an innovative and diverse workforce. We encourage you to apply, even if you don’t meet every qualification, if you believe you could make a great addition to this team. Come as you are and learn about the exciting opportunities on our team.

Individuals seeking employment at Talkspace are considered without regard to race, color, religious creed, sex, national origin, citizenship status, age, physical or mental disability, sexual orientation, marital, parental, veteran or military status, unfavorable military discharge, or any other status protected by applicable federal, state, or local law.

How do we define Diversity, Equity, Inclusion, and Belonging at Talkspace?


Diversity encompasses the unique attributes of our employees as individuals. We value and embrace the richness arising from their varied backgrounds, perspectives, and experiences, which include, but are not limited to, age, ability, ethnicity, gender, race, and cultural background.


Equity refers to a fair and impartial workplace, aiming to ensure equal growth and advancement opportunities for all employees. This involves amplifying underrepresented voices, addressing unconscious biases, and providing inclusive, culturally competent mental health care.


Inclusion signifies the practice of granting equal access to opportunities and resources for all employees, particularly those who might otherwise be excluded or marginalized. It ensures that everyone feels a sense of belonging, value, support, and respect as an individual.


Belonging reflects the affinity and positive relationships that develop among employees from diverse backgrounds when businesses actively promote diversity, equity, and inclusion in the workplace.