Machine Learning Engineer
1 month ago
About Marker Learning:
Marker Learning is on a mission to help schools and parents access more affordable and accessible learning disability (e.g., dyslexia) assessments. 1 in 5 students has a learning disability such as dyslexia, which makes it harder for them to read, spell, and write--despite their intelligence. While receiving a proper evaluation for a learning disability could be the most impactful event in a student's life, it is estimated that only 4% of students receive a diagnosis because of the high costs of evaluations and lack of access to qualified psychologists. Undiagnosed students are 3x more likely to drop out of high school, 5x more likely to be unemployed, and tend to experience elevated levels of anxiety and depression.
By leveraging proprietary technology developed by leading experts, the end-to-end Marker evaluation is completed in a fraction of the time compared to traditional assessment methods. Marker is a rapidly growing start-up backed by some of the most mission-driven and reputable venture capital firms and education non-profits.
Join us in our mission to inspire and support all students on their unique learning paths
The Role
As a Machine Learning Engineer at Marker, you will contribute to the development of innovative AI-based tools that aim to improve the process of learning disability evaluations. You will collaborate closely with our team of data scientists, clinicians, and psychologists to design, implement, and deploy machine learning models that leverage the latest advancements in AI and psychometric science. Your work will contribute to making learning disability evaluations more accessible, standardized, and with repeatable outcomes, while ensuring scientifically valid and reliable solutions for our students, schools, psychologists, and internal stakeholders.
What You'll Do
- Be one of the first Machine Learning Engineers at an early-stage project, with leadership and cross-functional collaborative opportunities and project diversity.
- Design, implement, and deploy machine learning models for assessment tools and methodologies.
- Collaborate with data scientists and psychometricians to integrate machine learning techniques into psychometric test development.
- Work with one of the largest learning differences datasets to develop models for in-depth analysis of assessment results and ensure high clinical quality standards.
- Deploy and integrate large language models (LLMs) and other natural language processing (NLP) solutions into production environments, ensuring high performance, scalability, and reliability while collaborating with software engineers to streamline the deployment process and monitor model performance in real-world applications
- Stay up-to-date with the latest research and best practices in machine learning and AI, ensuring our assessment tools remain at the forefront of the field.
- Communicate findings and insights to both technical and non-technical stakeholders, including product managers, designers, and clinicians.
Qualities Of An Ideal Candidate
- B.S, Masters or PhD in Computer Science, Mathematics, Statistics, or a related field4+ years of experience in developing and deploying machine learning models in a production environment
- Strong understanding of machine learning algorithms, deep learning, and natural language processing
- Proficiency in Python.
- Excellent communication skills, valuing diverse communication styles, with both technical and non-technical stakeholders.
Nice To Have
- Experience with computer vision frameworks (e.g., OpenCV, TensorFlow), audio processing libraries (e.g., librosa, pydub), and NLP libraries (e.g., spaCy, NLTK, Hugging Face Transformers).
- Knowledge of advanced NLP techniques such as transformer-based models, language model fine-tuning, or dynamic few-shot learning.
Interested? Great Here's what you should know:
At Marker Learning, we know that our people are indispensable to achieving our mission, and we are building an inclusive environment that enables everyone to do their best work. In that spirit, we deliberately hire people from all walks of life — including, but not limited to, race, gender identity, sexual orientation, and disability status. We are a mission-driven team out to provide reliable and affordable testing to every student who requires it, and we believe that Marker Learning has the potential to change the evaluation landscape across the country. We'd love to hear from you if you're motivated by our mission and eager to contribute to our team and culture
We are dedicated to building a diverse and inclusive workforce. Marker Learning provides equal employment opportunities (EEO) to all applicants for employment without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, genetic information, marital status, amnesty, or status as covered veteran in accordance with applicable federal, state, and local laws.
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