Machine Learning Engineer @ Houghton Mifflin Harcourt | Jobright.ai
JOBSarrow
RecommendedLiked
0
Applied
0
External
0
Machine Learning Engineer jobs in USA
38 applicants
company-logo

Houghton Mifflin Harcourt · 5 hours ago

Machine Learning Engineer

ftfMaximize your interview chances
ContentE-Learning
check
H1B Sponsor Likelynote

Insider Connection @Houghton Mifflin Harcourt

Discover valuable connections within the company who might provide insights and potential referrals.
Get 3x more responses when you reach out via email instead of LinkedIn.

Responsibilities

Manage, maintain, scale, and improve machine learning models already running in production environments.
Design, test, and deploy models to production, initially as a prototype, and then as an API that can serve predictions for end users.
Design, run, and evaluate machine learning tests and experiments.
Optimize machine learning models according to how they behave in production.
Use CI/CD processes throughout the model development lifecycle to develop higher quality code and models without disruption to production.
Provide technical support to data and product teams, helping relevant parties use and understand machine learning systems and datasets.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Machine LearningMLOpsPythonSQLPyTorchTensorFlowC++RSageMakerMLflowKubeflowSnowflakeJenkinsGitHub ActionsConcourseTerraformSparkDaskAPI DesignDevOpsDataOps

Required

Masters or Ph.D. in computer science, engineering, or quantitative field.
5+ years of hands-on experience in machine learning or data science.
Commercial experience in MLOps e.g., SageMaker, MLflow, Kubeflow.
Proficient with machine learning algorithms, architectures, programming languages (e.g., Python, C++, R), and libraries (e.g., PyTorch, TensorFlow).
Proficient with SQL and analytical warehouses (e.g., Snowflake).
Familiarity with automation and deployment (e.g., Jenkins, GitHub actions, Concourse, etc.) and infrastructure as code (e.g., Terraform) technologies.
Employed distributed processing frameworks such as Spark and Dask and has interacted with cloud platforms and container technologies.
Practical knowledge of software engineering concepts and best practices, like testing frameworks, packaging, API design, DevOps, DataOps and MLOps.
Excellent problem-solving skills and easily adapt to new technologies, trends, and frameworks.
Proven ability to improve machine learning practices and create a collaborative, high-performing team.

Company

Houghton Mifflin Harcourt

company-logo
Houghton Mifflin Harcourt is a global learning company specialized in pre-K–12 education content, services, and technology solutions.

H1B Sponsorship

Houghton Mifflin Harcourt has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2023 (6)
2022 (4)
2021 (5)
2020 (10)

Funding

Current Stage
Public Company
Total Funding
$800M
Key Investors
ABRY Partners
2022-02-22Acquired
2015-05-29Post Ipo Debt· $800M
2013-11-22IPO

Leadership Team

leader-logo
Peter George
Chief Technology Officer
linkedin
leader-logo
Alejandro Reyes
SVP & Chief People Officer
linkedin
Company data provided by crunchbase
logo

Orion

Your AI Copilot