Discover OPPO Machine Learning Engineer Job |  $100K/yr – $300K/yr

• OPPO Machine Learning Engineer Job
• Role: Senior Machine Learning Engineer 
• Location: Palo Alto, CA, On-site
• Salary: $100K/yr – $300K/yr
• Work Type: Full-time
• Skills: Python
• Company: OPPO

OPPO Jobs in Palo Alto

OPPO is a first-rate international technology employer that specializes in smartphones, AI, and IoT improvements. Founded in 2004, OPPO has installed itself as a key player inside the purchaser electronics organization. With a robust awareness of studies and development, OPPO invests in present-day technology like synthetic intelligence, machine learning, and 5G connectivity. The organization’s studies centers, which include the OPPO AI Lab in Palo Alto, are dedicated to using AI enhancements that enhance user critiques.

Are you enthusiastic about the current AI era and tool learning? OPPO, a global chief in smart gadgets, is hiring for the Senior Machine Learning Engineer function in Palo Alto, CA. If you have been given know-how in Python and AI-pushed applications, this whole-time, on-internet web page function offers an interesting opportunity to work with top industry specialists. 

Job Description: OPPO Machine Learning Engineer Job

As a Senior Machine Learning Engineer at OPPO, you’ll be answerable for growing and deploying AI-pushed answers that decorate OPPO’s clever gadgets and services. This characteristic calls for statistics in gadget mastering, deep mastering, and Python programming. The quality candidate will paint on stop-to-forestall ML pipelines, from statistics processing to version deployment, making sure scalable and green AI solutions.

Key Responsibilities

• Develop and enforce system mastering fashions to beautify OPPO’s AI-pushed programs.
• Optimize deep studying algorithms for actual-time processing on cell and IoT gadgets.
• Collaborate with pass-purposeful groups, along with records scientists and software utility engineers.
• Conduct studies on superior AI methodologies and combine them into OPPO merchandise.
• Work on large-scale datasets to train and top-notch-music system mastering fashions.
• Deploy tool analyzing models into production and optimize their common standard overall performance.
• Stay updated with the modern-day trends in AI, device ding, and deep gaining knowledge of.
• Document studies findings and present technical reviews to stakeholders.

Key Skills machine-getting-to-know

•  Python and machine getting to know frameworks like TensorFlow, PyTorch, or Scikit-Learn.
• Strong know-how of deep mastering architectures including CNNs, RNNs, and Transformers.
• Experience in NLP, computer imaginative and prescient, or recommendation structures.
• Familiarity with cloud computing platforms (AWS, Google Cloud, or Azure).
• Expertise in facts processing, feature engineering, and model optimization.
• Ability to work with large-scale datasets and allotted computing.
• Strong trouble-fixing skills and analytical questioning.
• Excellent communique and collaboration competencies.

Education and Qualification Requirements

• Bachelor’s, Master’s, or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related difficulty.
• Advanced levels (Master’s/PhD) with research book/ML are preferred.
• Strong e book file in top AI/ML conferences is a plus.

Experience Required

• 3+ years of experience in device gaining knowledge of, deep analyzing, or AI development.
• Experience jogging with forestall-to-cease ML pipelines in production environments.
• Proven tune report of deploying AI fashions into real-global applications.
• Experience in optimizing ML models for cell and embedded systems is a plus.

Job Location

• This feature is on the Internet website online at OPPO’s AI Research Lab in Palo Alto, CA.

Benefits of Working at OPPO

Competitive Salary: Earn between $100K/yr – $300K/twelve months, based on enjoyment and qualifications.

Cutting-Edge Researcsystemskwitht cutting-edge AI and system gaining knowledge of improvements.

Career Growth: Opportunities to collaborate with international-magnificence researchers and engineers.

Comprehensive Benefits: Health coverage, 401(good enough), paid break day, and extra.

Innovative Work Environment: Access to extremely modern-day studies center in Palo Alto.

Global Exposure: Work with a numerous, global organization on AI-pushed solutions.

How To Apply: Click On the Link Below⇓

Apply Now, Here

Discover More Jobs

VMware Hiring Multiple Role Work From Home Jobs 

PhonePe Recruitment Customer Experience Specialist 

Airtel Job Openings for Online Customer Service Representative