Know ATS Score
CV/Résumé Score
  • Expertini Resume Scoring: Our Semantic Matching Algorithm evaluates your CV/Résumé before you apply for this job role: Machine Learning Architect.
United States Jobs Expertini

Urgent! Machine Learning Architect Job Opening In Menlo Park – Now Hiring SLB

Machine Learning Architect



Job description

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

>


Required Skill Profession

Computer Occupations



Your Complete Job Search Toolkit

✨ Smart • Intelligent • Private • Secure

Start Using Our Tools

Join thousands of professionals who've advanced their careers with our platform

Rate or Report This Job
If you feel this job is inaccurate or spam kindly report to us using below form.
Please Note: This is NOT a job application form.


    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.

  • Are You Looking for Machine Learning Architect Job?

    Great news! 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: .

  • The Work Culture

    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:
    • 1. Independence
    • 2. Loyalty
    • 3. Impartiality
    • 4. Integrity
    • 5. Accountability
    • 6. Respect for human rights
    • 7. Obeying United States laws and regulations
  • What Is the Average Salary Range for Machine Learning Architect Positions?

    The average salary range for a 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.

  • What Are the Key Qualifications for Machine Learning Architect?

    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.

  • How Can I Improve My Chances of Getting Hired for Machine Learning Architect?

    To improve your chances of getting hired for Machine Learning Architect, consider enhancing your skills. Check your CV/Résumé Score with our free Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.

  • Interview Tips for Machine Learning Architect Job Success
    SLB interview tips for Machine Learning Architect

    Here are some tips to help you prepare for and ace your job interview:

    Before the Interview:
    • Research: Learn about the SLB's mission, values, products, and the specific job requirements and get further information about
    • Other Openings
    • Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.
    • Dress Professionally: Choose attire appropriate for the company culture.
    • Prepare Questions: Show your interest by having thoughtful questions for the interviewer.
    • Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.
    During the Interview:
    • Be Punctual: Arrive on time to demonstrate professionalism and respect.
    • Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.
    • Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.
    • Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.
    • Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.
    • Follow Up: Send a thank-you email to the interviewer within 24 hours.
    Additional Tips:
    • Be Yourself: Let your personality shine through while maintaining professionalism.
    • Be Honest: Don't exaggerate your skills or experience.
    • Be Positive: Focus on your strengths and accomplishments.
    • Body Language: Maintain good posture, avoid fidgeting, and make eye contact.
    • Turn Off Phone: Avoid distractions during the interview.
    Final Thought:

    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!

  • How to Set Up Job Alerts for Machine Learning Architect Positions

    Setting up job alerts for Machine Learning Architect is easy with United States Jobs Expertini. Simply visit our job alerts page here, enter your preferred job title and location, and choose how often you want to receive notifications. You'll get the latest job openings sent directly to your email for FREE!