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Shipwell
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Austin, TX | Full Time
$108k-138k (estimate)
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Apple
Apple
Austin, TX | Full Time
$108k-130k (estimate)
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Apple
Austin, TX | Full Time
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ITECH Solutions
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Austin, TX | Full Time
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2 Weeks Ago
Machine Learning Engineer
webAI Austin, TX
$107k-132k (estimate)
Full Time 2 Months Ago
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webAI is Hiring a Remote Machine Learning Engineer

Machine Learning Engineer
We are seeking a talented and experienced Machine Learning Engineer to join our team! As a Machine Learning Engineer at webAI, you garner experience developing and deploying ML models alongside our researchers to bolster our platform. An ideal candidate will have experience with both unstructured and structured data machine learning use-cases.
Responsibilities:
  • Research, design, implement, and fine-tune machine learning models, including deep learning architectures, to be included in or to advance our platform.
  • Compile/pre-process datasets for training purposes
  • Extract meaningful features from data through feature engineering to improve model performance
  • Extend and develop the organizations existing ML libraries and proprietary frameworks
  • Collaborate with R&D and systems software engineering teams
  • Promote and adhere to MLOps best practices within the organization
  • Ensure production intent code is properly documented and tested
  • Stay up to date on latest AI trends and research papers
Qualifications:
  • Proven experience as a Machine Learning Engineer or similar role
  • Batchelor’s (Master’s prefered) in Computer Science, Machine Learning, Data Science, or a related field
  • Understanding of data structures, data modeling and software architecture
  • Deep knowledge of math, probability, statistics and algorithms
  • Ability to write robust code in Python (Rust, C/C , Cuda, or MPS experience a plus)
  • Expertise in data preprocessing, feature engineering, and model evaluation technique
  • Experience working with Tensorflow and/or PyTorch along with scikit-learn, numpy, pandas, and opencv
  • Experience with cloud computing platforms and model deployment techniques using Docker containerization
  • Experience with MLOps tools like, MLFlow, KubeFlow, Airflow or similar
  • Passionate about learning
  • Strong verbal and written communication skills

Benefits:

  • Competitive salary 
  • Comprehensive health, dental, and vision benefits package.
  • Flexible work week
  • Free parking, for in-office employees
  • Unlimited PTO
  • Parental, Bereavement Leave

Job Summary

JOB TYPE

Full Time

SALARY

$107k-132k (estimate)

POST DATE

03/10/2024

EXPIRATION DATE

07/01/2024

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The job skills required for Machine Learning Engineer include Computer Science, Python, Docker, Written Communication, etc. Having related job skills and expertise will give you an advantage when applying to be a Machine Learning Engineer. That makes you unique and can impact how much salary you can get paid. Below are job openings related to skills required by Machine Learning Engineer. Select any job title you are interested in and start to search job requirements.

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The following is the career advancement route for Machine Learning Engineer positions, which can be used as a reference in future career path planning. As a Machine Learning Engineer, it can be promoted into senior positions as a Software Engineer IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Machine Learning Engineer. You can explore the career advancement for a Machine Learning Engineer below and select your interested title to get hiring information.

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