Student Veterans of America Jobs

Welcome to SVA’s jobs portal, your one-stop shop for finding the most up to date source of employment opportunities. We have partnered with the National Labor Exchange to provide you this information. You may be looking for part-time employment to supplement your income while you are in school. You might be looking for an internship to add experience to your resume. And you may be completing your training ready to start a new career. This site has all of those types of jobs.

Here are a few things you should know:
  • This site is mobile friendly. You do not need a log-in or password to access information.
  • Jobs on this site are original and unduplicated and come from three sources: the Federal government, state workforce agency job banks, and corporate career websites. All jobs are vetted to ensure there are no scams, training schemes, or phishing.
  • The site is refreshed daily to remove out-of-date content.
  • The newest jobs are listed first, so use the search features to match your interests. You can look for jobs in a specific geographical location, by title or keyword, or you can use the military crosswalk. You may want to do something different from your military career, but you undoubtedly have skills from that occupation that match to a civilian job.
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Job Information

Intuit Senior Software Engineer - Machine Learning in Plano, Texas

Overview

In this role, you’ll be embedded inside a vibrant team of data scientists. You’ll be expected to help conceive, code, and deploy data science models at scale using the latest industry tools. Important skills include data wrangling, feature engineering, developing models, and testing metrics.

What you'll bring

  • BS, MS, or PhD degree in Computer Science or related field, or equivalent practical work experience.

  • 3+ years of experience

  • Knowledgeable with Data Science tools and frameworks (i.e. Python, Scikit, NLTK, Numpy, Pandas, TensorFlow, Keras, R, Spark).

  • Basic knowledge of machine learning techniques (i.e. classification, regression, and clustering).

  • Understand machine learning principles (training, validation, etc.)

  • Knowledge of data query and data processing tools (i.e. SQL)

  • Computer science fundamentals: data structures, algorithms, performance complexity, and implications of computer architecture on software performance (e.g., I/O and memory tuning).

  • Software engineering fundamentals: version control systems (i.e. Git, Github) and workflows, and ability to write production-ready code.

  • Experience deploying highly scalable software supporting millions or more users

  • Experience with GPU acceleration (i.e. CUDA and cuDNN)

  • Experience with integrating applications and platforms with cloud technologies (i.e. AWS and GCP)

  • Strong oral and written communication skills. Ability to conduct meetings and make professional presentations, and to explain complex concepts and technical material to non-technical users

How you will lead

  • Discover data sources, get access to them, import them, clean them up, and make them “machine learning ready”.

  • Work with data scientists to create and refine features from the underlying data and build pipelines to train and deploy models.

  • Partner with data scientists to understand, implement, refine and design machine learning and other algorithms.

  • Run regular A/B tests, gather data, perform statistical analysis, draw conclusions on the impact of your models.

  • Work cross functionally with product managers, data scientists and product engineers, and communicate results to peers and leaders.

  • Explore new technology shifts in order to determine how they might connect with the customer benefits we wish to deliver.

EOE AA M/F/Vet/Disability. Intuit will consider for employment qualified applicants with criminal histories in a manner consistent with requirements of local law.

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