Machine Learning Engineer

Role Description

BetterHelp is looking for a Machine Learning Engineer to help build and scale the next generation of AI-powered experiences across our platform. This role will focus on Natural Language Processing (NLP), Large Language Models (LLMs), evaluation systems, and AI safety infrastructure.

What will you do?

• Develop and improve NLP systems and language model-powered experiences.
• Fine-tune and optimize open-source and proprietary language models for domain-specific use cases.
• Evaluate model performance and identify opportunities for quality improvements.
• Design and implement evaluation frameworks to measure model quality, reliability, and business impact.
• Build automated testing pipelines to identify regressions, quality drops, hallucinations, and failure modes.
• Develop metrics and monitoring systems to continuously assess model performance in production.
• Design and implement guardrails that improve model reliability, safety, and consistency.
• Build systems to detect unsafe outputs, prompt injection attempts, abuse patterns, and fraud-related behaviors.
• Partner with product and engineering teams to ensure AI systems behave predictably and responsibly.
• Optimize inference performance through quantization, distillation, batching, and model serving improvements.
• Deploy and maintain production-grade ML systems running on GPU infrastructure.
• Improve latency, scalability, and operational efficiency of LLM-powered applications.
• Partner closely with Product, Engineering, and Data Science teams to identify opportunities where AI can improve user experiences.
• Translate business requirements into scalable ML solutions.
• Communicate technical concepts clearly to both technical and non-technical stakeholders.

What will you NOT do?

• You will NOT worry about "runway", "cash left", or "how much time we have until the next round".
• You will NOT be confined to your "job".
• You will NOT be bogged down by office politics, ego, or bad attitude.
• You will NOT get yourself burned out.

Can I work remotely?

Yes. We operate on PST and candidates in any time zone are welcome to apply. We ask employees to travel to our San Jose, CA office up to three times per year plus one company-wide offsite to collaborate in person and strengthen working relationships. Travel expenses are covered and reasonable accommodations are made for those under unique circumstances who cannot travel.

Qualifications

• 3+ years of industry experience building machine learning systems.
• Strong Python programming skills.
• Experience working with NLP and Large Language Models.
• Experience with PyTorch (preferred) or TensorFlow.
• Strong understanding of deep learning fundamentals, transformers, embeddings, and modern NLP architectures.
• Experience evaluating machine learning models and designing quality measurement frameworks.
• Experience fine-tuning language models for production use cases.
• Familiarity with model serving, inference optimization, and deployment workflows.
• Experience working with SQL and large-scale datasets.
• Excellent communication and collaboration skills.

Benefits

• Remote work with regular in-person bonding experiences sponsored by the company.
• Competitive compensation.
• Holistic perks program (including free therapy, employee wellness, and more).
• Excellent health, dental, and vision coverage.
• 401k benefits with employer matching contribution.
• The chance to build something that changes lives – and that people love.
• Any piece of hardware or software that will make you happy and productive.
• An awesome community of co-workers.

The base salary range for this position is $150,000 - $180,000. In addition to the base salary, this position is eligible for a performance bonus and the extensive benefits listed here (subject to eligibility requirements).