Senior Machine Learning Engineer

HP
United States
Full timeUSD 147,050 - 230,850 annuallyFunction: Data Science & Machine LearningSkills: ["Effective Communication","Results Orientation","Learning Agility","Digital Fluency","Customer Centricity"]

Design, develop, and implement machine learning models that address complex business problems. Build and maintain data pipelines and monitoring systems in distributed environments, from defining data collection to training, evaluating, and visualizing model performance. Translate analytics and business requirements into technical ML solutions, integrate models into production with DevOps, and support AI/ML delivery through validation and ongoing monitoring. Also manage compute clusters and contribute to cutting-edge AI/ML research.

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FursaFursa
HP
HP
1 day ago

Senior Machine Learning Engineer

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 5 hours agoStatus: Live

Job Summary

Design, develop, and implement machine learning models that address complex business problems. Build and maintain data pipelines and monitoring systems in distributed environments, from defining data collection to training, evaluating, and visualizing model performance. Translate analytics and business requirements into technical ML solutions, integrate models into production with DevOps, and support AI/ML delivery through validation and ongoing monitoring. Also manage compute clusters and contribute to cutting-edge AI/ML research.
Location: United States
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Architect, develop, and program integrated software solutions for the development, deployment, and lifecycle of machine learning models.
  • •Build and maintain robust data pipelines and monitoring systems in distributed computing environments.
  • •Define data collection protocols, analyze data sources, and create visualizations for data properties and model performance.
  • •Establish and optimize scalable processes for large-scale data operations to drive ML product improvements.
  • •Collaborate with DevOps to integrate models into production systems and automate deployment processes, including validation and monitoring of requirements delivery.

Pay and Benefits

Salary: USD 147,050 - 230,850 annually
Equity and Bonus:Equity
Perks:Health InsuranceDentalVisionParental Leave

Key Requirements

  • •Four-year or Graduate Degree in Computer Science, Statistics, Mathematics, Data Science, or related field, or commensurate work experience.
  • •Typically 7-10 years of work experience in machine learning, algorithms, statistical methods, programming, or related fields.
  • •Expertise in designing, training, evaluating, and optimizing machine learning models for performance.
  • •Experience developing integrated software and deploying machine learning models into production systems with automation.
  • •Preferred: AWS Certified Machine Learning Specialty (or equivalent).
Education:
Skills:Effective CommunicationResults OrientationLearning AgilityDigital FluencyCustomer Centricity
Certifications:AWS Certified Machine Learning Specialty
Tech Stack:C++CUDAPythonPyTorchKubernetesBig DataLLM EvalLLMOpsRetrieval-Augmented Generation (RAG)Vector DatabasesVLLMAgile Methodology

Company Brief

HP
Designs and manufactures personal computers, printers, and related supplies, as well as provides software, services, and solutions for consumers and enterprises worldwide.
Industry: Hardware Devices
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Palo Alto, United States
Founded: 1939
Glassdoor
Glassdoor: 3.8
WebsiteLinkedIn