Senior Machine Learning Engineer, Marker Learning
Learning disability support
Be an early applicant
Learning disability support
101-200 employees
Be an early applicant
101-200 employees
Company mission
To democratize access to high quality learning assessments and services.
Role
Who you are
- 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
What the job involves
- At Marker Learning, you’ll play a pivotal role in empowering psychologists and clinicians with innovative tools that streamline assessments, diagnoses, reporting, and evaluation management
- Our mission is to drive better outcomes for students and schools by developing AI-powered solutions that harness structured and unstructured data to make the diagnostic process more efficient and insightful
- We’re looking for a Senior Machine Learning Engineer to lead the charge on productionizing AI features across parsing, summarization, and chat-based report editing
- You’ll own the full ML lifecycle—from prototype to prod—and architect the infrastructure that makes these systems reliable, fast, and impactful
- You’ll partner closely with other MLEs and product engineers, and domain experts to ensure our LLM-based features are not only powerful, but also trustworthy and tightly integrated with our user workflows
- Own and scale the end-to-end ML lifecycle: data pipelines, training, serving, monitoring, and evaluation
- Build and productionize systems for:
- AI document parsing (OCR, classification, extraction)
- LLM-powered summarization and content generation
- 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, structured prompt engineering, fallback strategies, and continuous improvement
- Raise the bar on technical design, testing, and observability across ML systems
Our take
One in five American students has a learning disability and while a proper evaluation could be one of the most impactful events in these students' lives, only 4% receive a diagnosis because of the high costs involved and the lack of access to the appropriate psychologists. Undiagnosed students are more likely to drop out of school, fail to find a job and subsequently suffer from mental health issues.
The current learning disability support system is broken and Marker Learning is setting out to change this, by making critical learning disability evaluations and support more accessible and affordable. The startup is leveraging technology developed by experts at John Hopkins to provide evaluations in half the time and at a fraction of the price.
Having already reached a million students through school partnerships, Marker Learning is rapidly growing and raised $15 million in 2023. It announced its expansion into multiple new services as well, including tutoring and coaching. The startup is backed by some of the most mission-driven venture capital firms in the industry and with their help, it plans to continue scaling its partnerships and expand into new geographies.
Freddie
Company Specialist at Welcome to the Jungle
Insights
220% employee growth in 12 months
Company
Funding (2 rounds)
Feb 2023
$15m
SERIES A
Nov 2021
$4.7m
SEED
Total funding: $19.7m
Company HQ
Civic Center, New York, NY
Leadership
Stefan Bauer
(Co-Founder & CEO)Previously worked as an Analyst at Bloomberg and Morgan Stanley, also worked as an Associate and Engagement Manager at McKinsey & Company.
Emily Yudofsky
(Co-Founder & Chief Product & Marketing Officer)Previously founded the company Found, a pioneering weight care platform where they served as CEO. Also worked at Google as a Product Marketing Manager.
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