Sr Machine Learning Engineer

HMH is a learning technology company committed to delivering connected solutions that engage learners, empower educators and improve student outcomes. As a leading provider of K–12 core curriculum, supplemental and intervention solutions, and professional learning services, HMH partners with educators and school districts to uncover solutions that unlock students’ potential and extend teachers’ capabilities.

HMH serves more than 50 million students and 4 million educators in 150 countries. For more information, visit www.hmhco.com

We are seeking a mid-level Machine Learning Engineer to join our Data Science, Reporting & Analytics team. This role will focus on designing, developing, and deploying ML models that drive insights and automation across enterprise platforms. The ideal candidate will have strong algorithmic thinking, hands-on experience with ML frameworks, and a collaborative mindset to work closely with data scientists and engineers.

Key Responsibilities

• Model Development: Build, train, and validate machine learning models using Python, TensorFlow, PyTorch, or similar frameworks.


• Data Preparation: Collaborate with data engineers to source, clean, and transform data for modeling purposes.


• Deployment & Monitoring: Package models for deployment using MLOps tools; monitor performance and retrain as needed.


• Feature Engineering: Design and implement robust feature pipelines to improve model accuracy and efficiency.


• Collaboration: Work closely with analysts, product teams, and business stakeholders to translate requirements into ML solutions.


• Governance & Compliance: Ensure models adhere to data privacy, security, and ethical AI standards.


• Documentation & Support: Maintain model documentation and provide support for production ML workflows.

Skills & Qualifications

• 5–8 years of experience in machine learning or applied data science roles.


• Proficiency in Python and ML libraries (scikit-learn, TensorFlow, PyTorch).


• Experience with cloud platforms (AWS, Azure) and containerization (Docker, Kubernetes).


• Strong understanding of statistics, model evaluation, and optimization techniques.


• Familiarity with version control, CI/CD, and MLOps practices.
  Excellent problem-solving and communication skills.

Preferred Experience

• Exposure to NLP, computer vision, or time-series modeling.


• Experience integrating ML models into enterprise applications or data platforms.


• Prior work in ed-tech or large-scale analytics environments is a plus.

The Information Technology organization is transforming to realize our mission: Become a leader in HMH’s digital transformation, and as a strategic partner, innovate and deliver highest value, competitive advantage solutions across all corporate and business functions. Our ambition is to be a digital leader through innovation and develop and deliver leading edge technology such as robotic process automation and artificial intelligence to solve some of HMH’s greatest operational business challenges. Our professionals will have business relevant skills to connect our HMH partners to technologies that propel the businesses to deliver the greatest value for HMH and our customers.

We are building a team of IT professionals with an insatiable appetite to learn, a relentless focus on customer service, a technological curiosity toward future possibilities, and a creativity in solving business challenges with leading technologies. Our team will find ways to work together, create a sense of community where it’s safe to take risks and learn together, develop our careers, and all have an opportunity to work on new technologies. We will work together, learn together and have fun together. As a team, we will lead HMH’s digital transformation.