Machine Learning Engineer - Santa Clara, CA

Date Posted: 02/19/2026 · Hiring Organization: Rose International · Position Number: 497312 · Industry: IT Company/Software · Job Title: Machine Learning Engineer · Job Location: Santa Clara, CA, USA, 95054 · Work Model: Onsite · Shift: 8 - 5 PT · Employment Type: Temporary · FT/ ...

Job description

Date Posted: 02/19/2026

Hiring Organization: Rose International

Position Number: 497312

Industry: IT Company/Software

Job Title: Machine Learning Engineer

Job Location: Santa Clara, CA, USA, 95054

Work Model: Onsite

Shift: 8 - 5 PT

Employment Type: Temporary

FT/PT: Full-Time

Estimated Duration (In months): 13

Min Hourly Rate($): 75.00

Max Hourly Rate($): 95.00

Must Have Skills/Attributes: A/B testing, Machine Learning, Python

Nice To Have Skills/Attributes: Pytorch, Tensorflow

Experience Desired: Experience deploying ML models to production systems (5 yrs); Hands-on with PyTorch, TensorFlow, or scikit-learn (5 yrs)

Required Minimum Education: Bachelor's Degree

**C2C is not available**

Job Description
*** This role is supporting NVIDIA ***

As a Machine Learning Engineer, you'll work alongside NVIDIA's data annotation platform team, dedicated to addressing our evolving annotation data needs for training and evaluating LLMs. We value expertise in data science paired with a robust data engineering foundation. Together, we'll architect data pipelines, delve into advanced data analysis, and craft models using ML/AI. We seek someone proficient in programming and scripting for comprehensive data manipulation, analysis, and model creation. If you share a passion for innovation and creating exceptional experiences through the integration and management of large data sets, then you're the one we've been searching for We believe in proactive problem-solving, minimal supervision, and being exceptional teammates who collaborate, think, and learn as one unit. Let's make a difference together

What We Need To See

• Bachelor's Degree in Computer Science or related field or equivalent experience.
• Expertise as a Machine Learning Engineer or a similar role, with a consistent record of successfully delivering ML solutions.
• Strong programming skills in languages such as Python. Experience with frameworks like TensorFlow, PyTorch, or scikit-learn.
• Proficiency in data manipulation, analysis, and visualization using tools like NumPy, pandas, and matplotlib.
• Deep understanding of machine learning algorithms, statistical models, and data structures.
• Familiarity with software development practices and version control systems (e.g., Git).
• Ability to run with experimental design, A/B testing, and evaluation metrics for ML models.

Ways To Stand Out From The Crowd

• Experience in data annotation platforms, synthetic data generation techniques and excellent data analysis skills.
• First-hand experience deploying and maintaining deep learning systems and services in production at scale.
• Demonstrated skills with large language models, natural language processing and multi-modal models.
• Self-motivated with a goal to stay updated on the latest methodologies and machine learning technologies.

What You'll Be Doing

• Develop and implement ML models: Design, develop, and deploy scalable machine learning models and algorithms that address complex business challenges
• Improve and experiment with new directions and provide ML solutions in data annotation platform.
• Build models and algorithms to understand user interest, user intent, and improve content relevancy.
• Responsible for end-to-end design and development, starting from requirements gathering with business and engineering partners to deployment to product systems using Agile development methodology.
• Architect solutions for complex data platforms, and large scale CI/CD data pipelines using a variety of technologies, relational and non-relational databases, and data warehouse solutions for data-driven marketing and compliance requirements.
• Data pre-processing and analysis: Collaborate with data scientists and data engineers to collect, clean, pre-process, and transform large and wide datasets. Conduct exploratory data analysis (EDA) to uncover insights and identify patterns that boost the model performance.
• Collaborate with multidisciplinary teams: Collaborate with product engineers, data scientists, and analysts to understand business requirements and translate them into machine learning solutions.
• **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.**

Benefits
For information and details on employment benefits offered with this position, please visit here. Should you have any questions/concerns, please contact our HR Department via our secure website.

California Pay Equity
For information and details on pay equity laws in California, please visit the State of California Department of Industrial Relations' website here.

Rose International is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender (expression or identity), national origin, arrest and conviction records, disability, veteran status or any other characteristic protected by law. Positions located in San Francisco and Los Angeles, California will be administered in accordance with their respective Fair Chance Ordinances.
If you need assistance in completing this application, or during any phase of the application, interview, hiring, or employment process, whether due to a disability or otherwise, please contact our HR Department.
Rose International has an official agreement (ID #132522), effective June 30, 2008, with the U.S. Department of Homeland Security, U.S. Citizenship and Immigration Services, Employment Verification Program (E-Verify). (Posting required by OCGA 13/