200+ applicants

Company

Marathon TS · 3 days ago

Senior Machine Learning Engineer

United States

Full-time

Remote

Senior Level

$120K/yr - $130K/yr

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Responsibilities

Collaborates and pairs with other product team members (UX, engineering, and product management) to create secure, reliable, scalable machine learning solutions; Documents, reviews, and ensures that all quality and change control standards are met; Works with Product Team to ensure user stories that are developer-ready, easy to understand, and testable; Writes custom code or scripts to automate infrastructure, monitoring services, and test cases; Writes custom code or scripts to do "destructive testing" to ensure adequate resiliency in production; Configures commercial off the shelf solutions to align with evolving business needs; Creates meaningful dashboards, logging, alerting, and responses to ensure that issues are captured and addressed proactively

Participates in learning activities around modern software design, machine learning, and development core practices (communities of practice); Proactively views articles, tutorials, and videos to learn about new technologies and best practices being used within other technology organizations

Fields questions from other product teams or support teams; Monitors tools and participates in conversations to encourage collaboration across product teams; Provides application support for software running in production; Proactively monitors production Service Level Objectives for products; Proactively reviews the Performance and Capacity of all aspects of production: code, infrastructure, data, message processing, and prediction quality

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.

ML developmentML ops lifecyclePythonData AnalysisJupyter NotebooksPandasSciPyScikit-learnTensorFlowPyTorchGoogle Cloud PlatformVertex AIBigQueryMLGPU accelerationNode.jsSQL queriesCI/CD toolchainREST designGitHigh AvailabilityDisaster RecoverySecurityNoSQL databasesCloud computingDefensive codingA/B testing

Required

Designing and implementing AI/ML algorithms to embed directly into software products

Integration, design, and development of machine learning solutions

Interface with Business Stakeholders, Technology Infrastructure teams, and Development teams

Performance tuning, testing, and product monitoring

Customer outreach and designing ML educational material

Data engineering

Operate independently and work as part of a team

Review submitted code and provide feedback based on best practices

Collaborates and pairs with other product team members (UX, engineering, and product management)

Documents, reviews, and ensures that all quality and change control standards are met

Works with Product Team to ensure user stories that are developer-ready, easy to understand, and testable

Writes custom code or scripts to automate infrastructure, monitoring services, and test cases

Writes custom code or scripts to do 'destructive testing' to ensure adequate resiliency in production

Configures commercial off the shelf solutions to align with evolving business needs

Creates meaningful dashboards, logging, alerting, and responses to ensure that issues are captured and addressed proactively

Participates in learning activities around modern software design, machine learning, and development core practices

Fields questions from other product teams or support teams

Monitors tools and participates in conversations to encourage collaboration across product teams

Provides application support for software running in production

Proactively monitors production Service Level Objectives for products

Proactively reviews the Performance and Capacity of all aspects of production: code, infrastructure, data, message processing, and prediction quality

Preferred

Expertise in ML development and ML ops lifecycle

Experience working with multiple leading ML models

Experience tracking key metrics for ML performance

Familiarity leveraging GenAI models

Experience with Data Analysis and Machine Learning Tools and Libraries like Jupyter Notebooks, Pandas, SciPy, Scikit-learn, Gensim, tensorflow, pytorch, etc

Experience in Google Cloud Platform and AI/ML related components such as Vertex AI, BigQueryML

Experience in effective data engineering practices and big data platforms such as BigQuery, Data Store, etc

Experience in a modern scripting language (preferably Python)

Experience with GPU acceleration (i.e. CUDA and cuDNN)

Experience in modern web application framework such as Node.js

Experience in writing SQL queries against a relational database

Experience in version control systems (preferable Git)

Experience in a CI/CD toolchain

Experience in REST and effective web service design

Familiarity with production systems design including High Availability, Disaster Recovery, Performance, Efficiency, and Security

Familiarity with NoSQL databases

Familiarity with cloud computing platform and associated automation patterns and machine learning services they provide