- OPPO Senior Machine Learning Engineer
- Role: Senior Machine Learning Engineer, Python
- Location: Palo Alto, CA
- Salary: $100K/yr – $300K/yr
- Work Type: On-site, Full-time
- Company: OPPO
Discover the OPPO Senior Machine Learning Engineer Role in Palo Alto
In the hastily evolving international of synthetic intelligence and machine studying, OPPO stands at the main edge of innovation. The business enterprise is presently searching for a Senior Machine Learning Engineer to enroll in its dynamic team in Palo Alto, CA. If you’re captivated by AI, deep learning, and the modern-day era, this OPPO Senior Machine Learning Engineer position can be your next large career circulate.
Job Description: OPPO Jobs in Palo Alto
As a Senior Machine Learning Engineer at OPPO, you’ll be accountable for designing, growing, and optimizing system mastering models and algorithms to decorate OPPO’s AI competencies. This position requires an in-intensity understanding of deep reading, and computing-dependent language processing (NLP). You will collaborate with facts scientists, software program program engineers, and research organizations to s-driven solutions that enhance OPPO’s products and services.
Roles and Responsibilities
AI Model Development
- Design and put into effect advanced machine mastering models for actual-global packages.
- Develop deep learning soluactual global processing, speech reputation, and NLP obligations.
- Train, validate, and high-quality-track AI fashions for primary performance.
Data Engineering & Optimization
- Work with big-scale datasets to extract insights and beautify ML model accuracy.
- Optimize existing algorithms for pace and overall performance in actual-time applications.
- Utilize Python, TensorFlow, PyTorch, and one-of-a-kind ML frameworks to construct scalable answers.
Collaboration & Research
- Work carefully with pass-practical teams to combine AI solutions into past-practicals.
- Conduct research on rising AI generation and make ResearchPPO’s innovation roadmap.
- Publish findings in top AI meetings and journals to enhance OPPO’s AI management.
Deployment & Performance Monitoring
- Deploy device gaining knowledge of fashions to manufacturing environments.
- Monitor version performance and continuously improve accuracy and performance.
- Implement MLOps incredible practices to automate and streamline the ML lifecycle.
Required Skills
- Strong Proficiency in Machine Learning & Deep Learning
- Experience with AI Frameworks consisting of TensorFlow, PyTorch, Keras, or Scikit-studies
- Programming Expertise in Python, C++, or Java
- Knowledge of Computer Vision & NLP
- Cloud Computing Experience with AWS, Google Cloud, or Azure
- Big Data Handling Skills the usage of Hadoop, Spark, or SQL
- Excellent Problem-Solving & Analytical Abilities
- Experience with Model Deployment & MLOps
- Familiarity with Edge AI & Hardware Acceleration
- Ability to Work in a Team-Oriented Environment
Education and Qualifications
- Master’s or Ph.D. In Computer Science, AI, Data Science, or associated difficulty
- five+ years of enjoyment in device gaining knowledge of, AI, or associated domains
- Strong guide report in top AI conferences (NeurIPS, CVPR, ICML, and so on.) is a plus
- Experience in deploying ML fashions in production environments
- Understanding of neural network architectures and optimization strategies
- Previous revel in jogging within the tech enterprise or research establishments
Salary and Benefits
The Senior Machine Learning Engineer characteristic at OPPO gives a specifically competitive income beginning from $100K to $300K steady with one year, relying on experience and qualifications. In addition to financial compensation, OPPO offers a huge variety of benefits, which include
Competitive Compensation & Bonuses
- Performance-based complete bonuses and inventory options.
- Relocation assist for certified applicants.
Healthcare & Wellassistance
- omprehensive health, dental, and imaginative and prescient insurance.
- Access to well-being applications and intellectual health assist.
Career Growth & Development
- Opportuassistance for management roles and promotions.
- Support for attending AI meetings and company activities.
- Access to OPPO’s global studies facilities and AI labs.
Work-Life Balance
- Paid time off, excursion, and parental depart.
- Flexible art work schedules with the selection for frequently flung paintings.
Cutting-Edge Projects
- Work on subsequent-gen AI merchandise and contribute to technological advancements.
- Collaborate with top AI researchers and engineers in the vicinity.
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