Senior Machine Learning Engineer

🕒 May 14

🍂 Massachusetts – Remote

🍂 Massachusetts – Remote

💵 $165.5k - $248.3k / year

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

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HubSpot

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2006

🤝 B2B

☁️ SaaS

B2B • SaaS • Marketing

HubSpot is an AI-powered customer platform that combines marketing, sales, and customer service software into one integrated suite. With over 238,000 customers in 135 countries, HubSpot offers tools for marketing automation, sales management, customer service, content marketing, operations, and B2B commerce. With products like Marketing Hub, Sales Hub, Service Hub, and Content Hub, HubSpot enables businesses to generate leads, close deals, and provide excellent customer support, all while using AI to enhance operations and insights. The platform is designed to unify teams and customer data, supporting both small startups and large enterprises in their growth journey.

📋 Description

• Design and run experiments to improve agent quality: better tool use, better reasoning, better outputs, using frameworks like DSPy and VLLM • Build and maintain evaluation infrastructure to measure what's working and catch regressions before customers do • Optimize LLM inference: latency, cost, model routing, and quality tradeoffs • Partner with product teams on model selection and performance benchmarking • Work closely with product engineers and PMs to translate customer quality problems into ML hypotheses and solutions • Own models end-to-end: from research and experimentation to production deployment

🎯 Requirements

• 5+ years of experience in a dedicated ML Engineer role (not ML-adjacent software engineering) • Strong Python skills; experience with PyTorch, VLLM, DSPy or similar LLM optimization frameworks • Hands-on experience working with large language models in production: prompt engineering, fine-tuning, evaluation, inference optimization • Ability to move from ambiguous problem ('this agent isn't performing well') to experimental design to shipped improvement • Comfort working with limited supervision in an early-stage product environment.

🏖️ Benefits

• Equity plan available for eligible roles • Annual bonus targets under the bonus plan for eligible roles