Machine Learning Engineer

🔥 14 hours ago

🇺🇸 United States – Remote

💵 $110k - $115k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Machine Learning Engineer

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HMH

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

📚 Education

🛍️ eCommerce

Education • eCommerce • Professional Development

HMH is an educational company that specializes in providing comprehensive curriculum and assessment solutions across a wide spectrum of subjects. They offer programs and resources for literacy, mathematics, science, social studies, and social-emotional learning for K-12 students. Additionally, HMH focuses on professional development for educators to enhance instructional strategies and improve student outcomes.

📋 Description

• Work across the full model lifecycle: data, training, validation, release, serving, monitoring, and subsequent versions • Explore and check data before and after model fitting, and document findings • Train and validate models using SageMaker training jobs and pipelines in Python • Track experiments in MLflow and validate against held-out cohorts before promotion • Register, promote, and deploy model versions with defensible data, code, weights, and serving lineage • Release models through code review and CI • Serve models through real-time endpoints and batch scoring using a feature store and Snowflake • Tune latency, cost, and capacity • Monitor prediction quality, failure rates, and drift through dashboards and alerts • Conduct monthly production-health reviews and blameless postmortems • Use production evidence to propose model improvements and shape team RFCs • Help analysts, product, and data teams understand model outputs and use them effectively • Collaborate on stream-aligned teams with senior or staff engineers • Build models that generalize across subjects or curricula without forking code • Re-score large student populations while live services continue serving • Run model versions side by side and retire versions safely • Improve training and serving efficiency without changing model outputs

🎯 Requirements

• Track record of shipping models or ML systems that others depended on • For IC4, typically three or more years of hands-on work, or a doctorate combined with relevant practical experience • Master’s or PhD in a quantitative field, psychometrics included, expected • Idiomatic, typed, tested Python • Comfort with CI/CD, GitHub Actions, and Terraform-managed infrastructure • Solid SQL • Statistics foundation, including posterior, likelihood, and calibration plots • Exploratory data analysis skills • Excellent technical writing • Working knowledge of AWS, ideally SageMaker • Working knowledge of an experiment tracker such as MLflow • Ability to assess whether work is ready to ship and support the assessment with evidence • Helpful: psychometrics or education measurement; cognitive diagnostic models or Bayesian networks; probabilistic programming such as Stan or PyMC; R; Snowflake and dbt; Terraform; GitHub Actions; knowledge graphs or ontologies; K–12 assessment data experience • Must be eligible to work in the United States; HMH participates in E-Verify

🏖️ Benefits

• Salary range of $110,000 to $115,000 • Equal Employment Opportunity workplace commitment • Work environment free from discrimination and harassment