Charles Schwab

Senior Machine Learning Engineer

Charles Schwab

Austin, TX, USA
Full-TimeDepends on ExperienceMid-LevelPhd or Professional
Job Description

Are you passionate about leveraging machine learning to tackle challenging data problems? We’re looking for a Senior Machine Learning Engineer to join our team at Charles Schwab. As a Senior Machine Learning Engineer, you’ll play a key role in helping us develop and deploy advanced machine learning models.To succeed in this role you’ll need a degree in computer science or a related field, plus a minimum of 5 years of experience in machine learning engineering. You should have knowledge of predictive modeling techniques, machine learning algorithms, data engineering, and software engineering. Experience with cloud-based machine learning platforms is also beneficial.We’re looking for someone with excellent analytical and problem-solving skills, the ability to think outside of the box, and a passion for learning. You should also be detail-oriented, organized, and able to work independently as well as in a team environment. If this sounds like you, we’d love to hear from you!

Where is this job?
This job is located at Austin, TX, USA
Job Qualifications
  • Excellent Communication And Problem-Solving Skills

  • Experience With Python

  • Expertise In Machine Learning Algorithms And Techniques

  • Knowledge Of Deep Learning

  • Familiarity With Big Data Technologies

  • Experience In Developing Machine Learning Models

  • Understanding Of Cloud Computing

  • Demonstrated Ability To Work In A Collaborative Environment

Required Skills
  • Python

  • Data Analysis

  • Big Data

  • Azure

  • Machine Learning

  • AWS

  • Scikit-learn

  • Tensorflow

  • Data Visualization

  • Algorithm development

  • Keras

  • Data science

  • Pytorch

  • NLP

  • Model Optimization

Soft Skills
  • Communication

  • Conflict Resolution

  • Leadership

  • Time management

  • Interpersonal Skills

  • creativity

  • Organizational skills

  • Teamwork

  • Adaptability

  • Problem-Solving

Compensation

According to JobzMall, the average salary range for a Senior Machine Learning Engineer in Austin, TX, USA is between $110,000 and $170,000 per year. The range is based on factors such as experience, education, certifications, and other qualifications.

Additional Information
Charles Schwab is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Required LanguagesEnglish
Job PostedApril 4th, 2023
Apply BeforeJune 9th, 2026
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About Charles Schwab

Through its operating subsidiaries, The Charles Schwab Corporation (NYSE: SCHW) provides a full range of securities brokerage, banking, money management and financial advisory services to individual investors and independent investment advisors. Its broker-dealer subsidiary, Charles Schwab & Co., Inc. (member SIPC, www.sipc.org), and affiliates offer a complete range of investment services and products including an extensive selection of mutual funds; financial planning and investment advice; retirement plan and equity compensation plan services; compliance and trade monitoring solutions; referrals to independent fee-based investment advisors; and custodial, operational and trading support for independent, fee-based investment advisors through Schwab Advisor Services.

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