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Machine Learning EngineerUrsus IncUnited States

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Machine Learning Engineer

Ursus Inc
  • US
    United States
  • US
    United States

Über

JOB TITLE: Machine Learning Engineer LOCATION: Remote DURATION: 2/23/2026 - 8/22/2026 PAY RANGE: $106 - 116/hr.
TOP 3 SKILLS:
Full-stack experience with strong proficiency in Python, SQL, and PHP 5+ years of hands-on experience designing, deploying, and maintaining Machine Learning pipelines and large-scale data systems Deep Machine Learning and AI domain expertise with proven ability to apply models to real-world business problems
Company: Our client is a Fortune 500 multi-national technology company headquartered in Menlo Park, CA.
Job Summary: pply expertise in Machine Learning, AI, statistics, and data exploration and analysis in leveraging internal operations data to solve critical problems for multiple legal teams. ML Engineer with 5+ years of experience in design, deployment, and maintenance of ML Pipelines.
Qualifications:
Master's/Bachelor's in Computer Science, Math, Physics, Engineering, Statistics, or a related quantitative field. 5+ years of experience in the design, deployment, and maintenance of Machine Learning pipelines and systems. Demonstrable experience in applying Machine Learning algorithms to solve real-world problems. 5+ years of experience in design, deployment, and maintenance of large data pipelines. Built machine learning models end-to-end (Preferred) Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Los Angeles Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, qualified applicants will be considered for assignment with arrest and conviction records. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, meet client expectations, standards, and accompanying requirements, and safeguard business operations and company reputation.
BENEFITS SUMMARY:
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate or annual salary only, unless otherwise stated. In addition to base compensation, full-time roles are eligible for Medical, Dental, Vision, Commuter and 401K benefits with company matching.
IND123
  • United States

Sprachkenntnisse

  • English
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