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Research - Research Scientist Jobs in USA, CA, Menlo Park | Rose International Job

Job

Rose International

Remote

Full-Time

Posted 5 days ago (Updated 23 hours ago) • Actively hiring

Expires 6/21/2026

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Job Description

Client Approved Location:
Prefer Onsite in Menlo Park, CA or New York, NY; Open to Remote
  • EDT or PDT time zone
REQUIRED
  • PhD highly preferred
  • 1 to 3 yrs of experience required (not looking for senior level
  • Proficiency in Python for data analysis and model development
  • Proficiency in SQL for querying and transforming structured datasets
  • Hands-on experience with PyTorch for training and evaluating models
  • Experience conducting applied research, experimentation, and/or model development in an industry or academic setting
  • Familiarity with modern LLM tooling and inference approaches (including vLLM or similar frameworks)
  • Strong written and verbal communication skills, including the ability to document and explain results clearly
  • Basic ability to work independently and manage one's time
  • Basic ability to analyze data and accurately document and record results.
Nice to
Have Skills:
  • Strong written and verbal communication skills, including the ability to document and explain results clearly.
Summary:
Client is seeking a Temporary Research Scientist to support applied research and prototyping efforts across data-driven and machine learning initiatives. In this time-bound assignment, you will collaborate with cross-functional partners to explore, analyze, and validate approaches that can inform product and engineering decisions.
Key Responsibilities:
  • Focus on video understanding related data processing
  • will need to know python, C++. Know basic VLLM knowledge
  • Design and execute exploratory analyses and experiments using Python and SQL to generate actionable insights.
  • Prototype, train, and evaluate machine learning models using PyTorch.
  • Build and iterate on inference and serving prototypes, including work with vLLM where applicable.
  • Develop clear technical documentation of methods, assumptions, and results.
  • Communicate findings to technical and non-technical stakeholders, including recommendations and limitations.
  • Follow applicable security and privacy practices when working with data and systems.
Required Qualifications:
  • 1-3 yrs of experience required
  • Proficiency in Python for data analysis and model development.
  • Proficiency in SQL for querying and transforming structured datasets.
  • Hands-on experience with PyTorch for training and evaluating models.
  • Experience conducting applied research, experimentation, and/or model development in an industry or academic setting.
  • Familiarity with modern LLM tooling and inference approaches (including vLLM or similar frameworks).
  • Strong written and verbal communication skills, including the ability to document and explain results clearly.
  • Basic ability to work independently and manage one's time.
  • Basic ability to analyse data and accurately document and record results.
Education/Experience:
  • Highly prioritizing PhD candidatesPursuant 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.
  • Only those lawfully authorized to work in the designated country associated with the position will be considered.
  • Please note that all Position start dates and duration are estimates and may be reduced or lengthened based upon a client's business needs and requirements.

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