Machine Learning Engineer

BetterHelp is on a mission to remove barriers to therapy and make mental health care accessible to everyone. They are seeking a Machine Learning Engineer to build and scale AI-powered experiences focusing on Natural Language Processing and language models. The role involves developing NLP systems, optimizing models, and collaborating with various teams to enhance user experiences.

Responsibilities:

• 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

Requirements:

• 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