Senior Machine Learning Engineer
Description For Senior Machine Learning Engineer
Marker Learning is revolutionizing the accessibility of learning disability assessments through innovative technology. As a Senior Machine Learning Engineer, you'll be at the forefront of developing AI-powered solutions that help psychologists and clinicians streamline their assessment and diagnostic processes.
The role involves building and scaling sophisticated ML systems, particularly focusing on LLM-based features for document parsing, summarization, and interactive report editing. You'll own the complete ML lifecycle from prototype to production, ensuring the systems are not only powerful but also reliable and seamlessly integrated into user workflows.
This is a unique opportunity to apply cutting-edge ML/AI technology to make a real difference in education and healthcare. The company's mission is to address the critical gap in learning disability diagnoses - while 1 in 5 students has a learning disability, only 4% receive proper evaluation due to cost and access barriers.
The ideal candidate will bring deep technical expertise in ML systems and infrastructure, combined with a pragmatic approach to delivering user-facing features. You'll work in a fast-paced startup environment, collaborating closely with engineers, product managers, and domain experts to build solutions that directly impact student outcomes.
This role offers the chance to tackle meaningful technical challenges while contributing to an important social mission. You'll be part of a mission-driven team working to transform the learning disability evaluation landscape across the country, making these critical services more affordable and accessible to all students who need them.
Responsibilities For Senior Machine Learning Engineer
- Own and scale the end-to-end ML lifecycle: data pipelines, training, serving, monitoring, and evaluation
- Build and productionize AI document parsing systems (OCR, classification, extraction)
- Develop LLM-powered summarization and content generation systems
- Create chat interfaces for editing special education reports
- Optimize model performance, latency, reliability, and cost
- Partner with engineers and PMs to deliver high-quality, user-facing AI features
- Establish best practices for LLM evaluations and prompt engineering
- Raise the bar on technical design, testing, and observability across ML systems
Requirements For Senior Machine Learning Engineer
- 8+ years of overall engineering experience
- Strong track record in shipping production ML systems
- Deep experience in ML infrastructure, pipelines, and model serving
- Deep, hands-on experience with LLMs, retrieval-augmented generation, or document intelligence
- Strong Python and ML ecosystem fluency (e.g., PyTorch, LangChain, Weaviate, HuggingFace)
- Systems thinking—understands how models interact with APIs, databases, and frontend features
- Bias for action, pragmatic mindset, and thrives in a fast-moving startup environment
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