Principal Machine Learning Engineer - Bethesda, United States - Get It Recruit - Educational Services

Description

About Us

We are an innovative edtech organization passionate about creating connections among teachers, children, and families.

As pioneers in the early childhood education market, we develop dynamic, high-quality digital products that integrate essential elements such as curriculum, assessment, professional development, and family engagement.

At our core, we are a team of dedicated individuals who thrive in a collaborative, work-hard/play-hard culture.

We take pride in our impact on early childhood education, supporting teachers in their vital role of nurturing creative, confident young thinkers.

Position Overview

We are in search of a highly skilled Principal Machine Learning Engineer to join our team and contribute to our AI/ML initiatives.

Collaborating closely with our AI/ML development team, including the VP of Data and AI/ML and the VP of Product Management, you will play a key role in deploying ML and AI solutions.

Your expertise in machine learning, Airflow, Spark, Kubernetes, and Sagemaker will be crucial in deploying production-quality AI/ML solutions for consumption by our front-end.

This role requires a balance between design/architecture and execution, making you an essential individual contributor to our team.

Specific Roles & Responsibilities

Take ownership of machine learning operations and deployment for all ML and AI solutions.

Develop frameworks for capturing feedback loop data.

Automate monitoring of model performance and user behavior.

Influence tooling, frameworks, and ML practices within the AI/ML team.

Assist in data collection for AI/ML development and validation.

Collaborate with Product Management on prioritization and requirements.

Occasional domestic travel may be required for in-person team, department, and company meetings.

Qualifications

Proficiency in AWS tools and solutions, including Sagemaker, Redshift, and Athena.

Experience with machine learning libraries such as PyTorch.

Hands-on experience designing, developing, and deploying workflows with ML models and feedback loops, using Bitbucket workflows and CI/CD.

Deep experience in at least two of the following languages: PySpark/Spark, Python, C.

Working knowledge of AI/ML algorithms, including Large Language Models (LLMs), Retrieval-augmented Generation (RAN), Clustering algorithms (such as K-Means), and Binary classifiers (such as XGBoost).

High level of self-starting, learning, and initiative behaviors.

Preferred

Background as a software engineer with experience as a data scientist.

Familiarity with Features Stores.

Why Join Us

We believe our solutions are only as strong as the teams that create them. By bringing passion, dedication, and creativity to your job every day, the possibilities are limitless.

We offer a competitive compensation and benefits package, flexible work schedules, opportunities for career advancement and professional development, and the chance to make a meaningful difference in the communities we serve.

Additional Benefits & Perks

Competitive compensation package, including an Employee Equity Appreciation Program.

Health insurance benefits.

401k with employer match.

100% remote work environment.

Unlimited paid time off, including paid holidays and Winter Break.

Paid parental leave.

Tuition assistance and professional development opportunities.

100% paid life, short and long-term disability insurance.

Pre-tax medical and dependent care flexible spending accounts (FSA).

Voluntary life and critical illness insurance.

We are committed to fostering a diverse workplace and is proud to be an equal opportunity employer, welcoming individuals of all backgrounds, genders, races, and abilities.

Employment Type:
Full-Time

#J-18808-Ljbffr