ML/AI Engineer / NLP Expert – Custom LLM Development

GENERAL INFORMATION

Reports to: Amit Gupta (CTO)
Talent Partner: Florian Feichtinger
Stock Options (VSOP): 20% of annual gross salary
Location: Remote-first (relocation to Berlin or Hamburg possible)
Timezone: +/-4.5 hours of CET

YOUR MISSION

Join us to create the world’s best AI Therapist that will make conversational mental health care universally accessible, affordable and effective to anyone with internet access.

HelloBetter is a leading company in the emerging field of digital therapeutics (DTx) for mental health conditions. We are also a global pioneer in digital mental health research. Our scientifically validated DTx treatments cover a broad range of mental health disorders, including depression, panic, stress and burnout, insomnia, vaginismus, chronic pain and diabetes, alcohol addiction as well as two prevention programmes.

We recently entered a new era of technology, marked by the introduction of advanced AI systems using transformer architectures, alongside a rapid growth in computational capacities, potentially having an impact that could exceed that of the internet’s invention three decades ago.

With the growth in the number of patients using our products, HelloBetter has gained invaluable insights into how patients benefit from digital mental health programmes. Now, we deploy AI in order to leverage the insights we gained in +15 years of research, having treated +100k patients.

Ultimately, we aim to deliver on the promise that mental health is a human right: Do you want to be part of that mission?

YOUR OBJECTIVES

As the leading expert, you and our team of Machine Learning, LLM, and NLP experts, as well as world renowned psychologists and researchers will pioneer the development of our domain-specific Large Language Model (LLM) for mental health care:

1. Design and architect an AI system with multiple large language models, including a main conversational agent and supplementary models for contextual support.
2. Steer the fine-tuning of language models on specific healthcare domains to ensure high relevance and accuracy in model responses.
3. Implement a RAG system to augment the conversational agent with relevant external knowledge and context.
4. Develop and manage datasets, ensuring data quality and compliance with data privacy regulations.
5. Establish performance metrics to evaluate model effectiveness and system efficiency.
6. Collaborate with cross-functional teams, including data scientists, data engineers, software developers, and product managers, to integrate AI models into existing platforms.
7. Stay updated with the latest advancements in AI, machine learning, and related technologies, applying this knowledge to improve system capabilities.

YOUR PROFILE

Must-Haves:

• Bachelor’s, Master’s or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• 2+ years experience building and maintaining NLP/Large Language Models on scale.
• Strong experience in developing and deploying large language models and NLP applications.
• Strong experience in fine-tuning LLMs.
• Proficiency in machine learning frameworks (e.g. TensorFlow, PyTorch).
• Experience with retrieval-augmented techniques and knowledge-intensive NLP tasks.
• Excellent programming skills in Python and familiarity with software development best practices.
• Demonstrated ability to design and implement complex AI systems.
• Excellent communication skills.

Nice-to-Haves:

• Experience with cloud services (AWS, Azure) and managing scalable AI solutions.
• Knowledge of data privacy laws and ethical AI use especially in the healthcare domain.
• Publication record in AI/ML fields or active participation in relevant professional communities.

WHY US?

Meaningfulness
– Mental health is a human right: we help thousands of people each month who struggle with depression, stress, insomnia, burnout, and other mental health issues.

Research & Evidence
– We have a unique product and are at the forefront of research in digital health applications.

Growth
– As pioneers in the development of applications for various mental health conditions, we are at the forefront of innovation.

Remote-First
– Remote-first culture – we hire globally, considering a time window of +/- 4.5 hours CET.

Diversity & Inclusion
– Fair and equal treatment are the standards of our Anti-Harassment Policy.

Other Benefits
– 28 vacation days + additional holidays for public holidays that fall on weekends.

HelloBetter is an equal opportunity employer and encourages applicants of any national origin, gender, sexual orientation, religious background, gender identity, and people with disabilities to apply.

INTERVIEW PROCESS

Introduction Chat (45 mins)
– Participants: Florian (Talent Partner).

Technical Interview (60 mins)
– Participants: Vincent (Lead Machine Learning Engineer).

Live Challenge (60 mins)
– Participants: Vincent (Lead Machine Learning Engineer), Amit (CTO).

Hiring Manager Interview (60 mins)
– Participants: Amit (CTO and future manager).

Offer Talk
– Participants: Amit (CTO and future manager).

ABOUT US

HelloBetter was founded under the name GET.ON Institut für Online Gesundheitstrainings GmbH by internationally recognized researchers and psychologists in 2015. The company is based in Berlin and Hamburg and employs more than 130 people.

Company:

HelloBetter

Qualifications:

Language requirements:

Specific requirements:

Educational level:

Level of experience (years):

Senior (5+ years of experience)

Tagged as: Academia , Germany , Language Modeling , Machine Learning , NLP

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