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Urgent! Machine Learning Architect Job Opening In Menlo Park – Now Hiring SLB
Full-time or part-time: Full-time
Job title: Machine Learning Architect
Job Location: 2700 Sand Hill Road, Menlo Park, CA 94025
Job Description:
Lead the design and implementation of state-of-the-art machine learning models and algorithms to solve complex business problems.
Utilize various techniques, including supervised and unsupervised learning, deep learning, and reinforcement learning, to extract insights from large datasets.
Conduct exploratory data analysis to uncover patterns, trends, and relationships in the data.
Identify relevant features and variables for model development and feature engineering.
Develop data preprocessing, cleansing, and augmentation strategies to improve model performance.
Ensure that machine learning models are transparent and interpretable by utilizing explainable AI techniques.
Develop methods to interpret model predictions and comprehend model behavior, especially in high-stakes or regulated domains.
Lead the development of backend services and infrastructure to support machine learning applications across various platforms and surfaces, ensuring seamless integration with existing systems.
Design GPU optimized model pipelines to efficiently process diverse data modalities, including images, vectors, and 3D assets.
Design internal AI platforms and frameworks for model inference and deployment and develop highly scalable and resilient systems to efficiently handle large-scale machine learning workloads.
Collaborate closely with cross-functional teams of data scientists, software engineers, and product managers to employ innovative architectures and cutting-edge techniques to develop optimized solutions for business problems and offer technical leadership to ensure alignment with organizational goals.
Minimum Education & Experience Requirements:
Master’s degree, or foreign educational equivalent, in Computer Science, Mathematics, Physics, Applied Science, or a related STEM field, plus 2 years of post-baccalaureate experience in job offered or any Machine Learning/engineering related job titles.
Applicants must have 2 years of experience in the following: (1) data analytics, developing Machine Learning (ML) algorithms, optimization methods, and Deep Learning (DL) and Neural network libraries to optimize neural networks and train and evaluate different models; (2) Natural Language Processing, Computer Vision Technologies, Reinforcement learning, and semi-supervised learning; (3) Software development and programming skills with databases and ML frameworks; (4) data science development tools and languages including R, Python, Java, TensorFlow, PyTorch, Flask; (5) developing technologies for inference, predictive modeling, general-purpose data-driven modeling, and optimization of systems; (6) Generative AI technologies and Foundational Models; and (7) processing multivariate data sets collected from equipment operations, manufacturing tests, and diagnostic routines.
Compensation for role: $200,304- $231,600/year
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Unlock Your Machine Learning Potential: Insight & Career Growth Guide
Real-time Machine Learning Jobs Trends in Menlo Park, United States (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Machine Learning in Menlo Park, United States using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 11027 jobs in United States and 108 jobs in Menlo Park. This comprehensive analysis highlights market share and opportunities for professionals in Machine Learning roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! SLB is currently hiring and seeking a Machine Learning Architect to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: Machine Learning Architect Jobs Menlo Park.
An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at SLB adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Machine Learning Architect Jobs United States varies, but the pay scale is rated "Standard" in Menlo Park. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Machine Learning Architect typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Here are some tips to help you prepare for and ace your job interview:
Before the Interview:To prepare for your Machine Learning Architect interview at SLB, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the SLB's products or services and be prepared to discuss how you can contribute to their success.
By following these tips, you can increase your chances of making a positive impression and landing the job!
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