Machine Learning Data Scientist

Job Type: Full Time Internship Part Time
Job Location: Remote US

This position is available as either a full-time, part-time or an internship role, without compensation for the first three months. This role is remote, allowing you to work from anywhere within the United States. Please note that only candidates based in the U.S. are eligible to apply.

About AI ECD

AI ECD is a groundbreaking startup dedicated to transforming Early Childhood Development (ECD) by using Generative AI to conduct scientifically-based evaluations and enhancements. Our mission is to democratize access to advanced assessment tools, making them available to every parent, everywhere, at low cost and with greater efficiency. By integrating advanced AI technology, we aim to set new standards in educational technology and develop reliable, scientifically backed applications that are accessible and practical for both small children and their parents.

Job Description

AI ECD is seeking a skilled Machine Learning Data Scientist with a focus on classical machine learning and the implementation of large language models (LLMs) to join our innovative team. In this role, you will be responsible for building and maintaining classical machine learning models, including non-linear regression models, as well as developing and deploying LLMs using PyTorch. This is an exciting opportunity to contribute to the development of cutting-edge early childhood development tools that leverage generative AI.


  • Develop and maintain classical machine learning models, including non-linear regression models.
  • Implement large language models (LLMs) using PyTorch.
  • Conduct data preprocessing, feature engineering, and model evaluation.
  • Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions.
  • Stay updated with the latest advancements in machine learning and AI technologies.
  • Engage in code reviews, providing and receiving constructive feedback to maintain high coding standards and continuous improvement.
  • Stay updated with the latest advancements in machine learning and AI technologies.
  • Document methodologies, experiments, and results comprehensively.

Minimum Requirements

  • Educational Background: Master’s degree in Machine Learning, Mathematics, Software Engineering or a related field.
  • Professional Experience: At least 2 years of professional work experience in a technology company, excluding internships and academic experience.
  • Expertise in Machine Learning: Proficiency in building and maintaining classical machine learning models, including non-linear regression models.
  • Large Language Model (LLM) Implementation: Experience in developing and deploying LLMs using PyTorch.
  • Data Preprocessing and Feature Engineering: Strong skills in data preprocessing, feature engineering, and model evaluation.
  • Programming Skills: Proficient in Python and relevant ML libraries (e.g., scikit-learn, TensorFlow, PyTorch).
  • Statistical Analysis: Strong understanding of statistical methods and their application in machine learning.
  • Exploratory Data Analysis: Ability to perform exploratory data analysis and generate insights from large datasets.
  • Collaboration and Communication: Excellent communication skills and the ability to work collaboratively in a cross-functional team environment.
  • Continuous Learning: Commitment to staying updated with the latest advancements in machine learning and AI technologies.

Preferred Qualifications

  • Advanced Machine Learning Experience: Demonstrable experience in developing and deploying advanced machine learning models, including both classical methods and LLMs.
  • Model Scalability Expertise: Proven capability in scaling machine learning models efficiently to accommodate growing data and user bases.
  • Proficiency in ML Tools: Familiarity with both front-end and back-end development tools relevant to machine learning projects, enhancing versatility in tackling diverse project needs.
  • Data Security Mastery: In-depth knowledge of data security protocols with a proven track record of implementing robust security measures in data science and machine learning projects.
  • Cross-Functional Collaboration: Exceptional ability to work seamlessly across various teams, promoting synergy and effective communication.
  • Regional Advantage: Preference for candidates based in the Greater Boston or San Francisco Bay Area, aligning with our strategic locations.
  • Domain Knowledge: Understanding of early childhood development principles enhances application relevance and user-centric design.
  • Cultural Competency: Familiarity with Chinese language and cultural nuances is highly valued, supporting our global outreach and diverse user base.


At AI ECD, we believe in providing comprehensive support and real-world learning opportunities. As a Software Development Engineer, you will gain:

  • End-to-End Project Experience: Be involved in every stage of the development process, from ideation to deployment, providing a comprehensive understanding of project workflows and the direct impact your work has on product development.
  • Significant Decision-Making Impact: Play a pivotal role in key technical decisions, including the selection of technology stacks. This opportunity allows you to leverage your expertise and make a substantial impact on our project outcomes and technological direction.
  • Potential for Full-Time Employment: Top performers may receive referral offers to transition into full-time roles, becoming key contributors as we expand our mission and technology.
  • Influence in an Innovative Startup: As one of our early team members, you’ll have the opportunity to shape our innovative company culture and influence product strategy. Your voice and contributions will help drive the future of AI ECD
  • Exclusive Industry Mentor: Work closely with experienced mentors in the ECD and AI fields who will provide guidance, share their expertise, and help refine your development and professional skills.
  • Professional Endorsement: Receive personalized recommendation letters and referrals that highlight your contributions and dedication, adding valuable credentials to your professional portfolio.

Join us at AI ECD to elevate your career with purposeful development experience and impactful mentorship. This opportunity will empower you to develop your skill set while contributing meaningfully to the democratization of early childhood assessment tools.

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