Machine Learning Engineer, Voci (Remote, US)

Location : Remote, California | Team: Data Science

Role Type: Full-Time Employee (Individual)

Medallia is the pioneer and market leader in Experience Management. Our award-winning SaaS platform, Medallia Experience Cloud, leads the market in the understanding and management of experience for candidates, customers, employees, patients, citizens and residents.  

We are more than a software company. We want to be known as a company that does the right thing, no matter the challenge or controversy. We are committed to creating a culture that values every person and every experience. Individual life experiences shape the way we interact with the world, which is why we encourage people to bring their whole selves to work each day. The strength of our global workforce is the most significant contributor to our success. 

We believe: Every Experience Matters. Talent is Everywhere. All Belong Here.

At Medallia, we hire the whole person.

As a Machine Learning Engineer in the speech research group at Medallia, you will help to shape the
future of our multilingual speech products and services. You will be responsible for conducting research
and development activities leading to faster and more accurate language and accent verification systems,
language and accent classification systems, and language and accent clustering systems. You will be
working in all aspects from validating the published state-of-the-art, prototyping novel algorithms, training
and testing machine learning models, integrating components into end-to-end systems, writing and testing
production code, and tracing error reports from the field. The linguistic classification libraries that you help
to build will be deployed primarily within our high-speech, state-of-the-art multilingual speech transcription
server.

What do we look for? Engineers who thrive at Medallia have a few key traits:
Able to take ownership of a problem, propose solutions and drive them to successful completion;
Driven to be the best version of themselves on a daily basis; Care about their work, their team and their company; Expect their ideas to be challenged because they believe that the best ideas can come from anywhere; View feedback as a gift that they give and receive

Qualifications:

  • MS in Computer Science, Electrical Engineering, or Computational Statistics
  • 1+ years’ experience executing machine learning experiments
  • 2+ years’ experience programming in C, C++, and/or Python
  • Experience with algorithm design and/or analysis in MATLAB, Mathematica, R, or NumPy
  • Familiarity with big data, and comfort with organizing, validating and modifying large real-world data sets
  • Good technical communication skills in English

Bonus Points:

  • Experience in speech processing and managing extensive audio data sets
  • Prior system development experience in language recognition, speaker recognition, or other audio classification technologies
  • Experience in scientific and numerical programming in C++
  • Experience in object-oriented design, analysis, and programming
  • Comfort in the *nix environment, and experience with bash and/or Perl
  • Experience using version control systems (e.g., git)
  • Spoken fluency in at least one additional language (besides English)
At Medallia, we celebrate diversity and recognize the value it brings to our customers and employees. Medallia is proud to be an equal opportunity workplace and is an affirmative action employer. Equal opportunity is afforded to all qualified applicants and employees. We do not discriminate on the basis of gender identity or expression, race, ethnicity, religion, national origin, age, sex, marital status, physical or mental disability, Veteran status, sexual orientation, and any other protected category. We also consider all qualified applicants regardless of criminal histories, consistent with legal requirements. 

Medallia is committed to working with and providing reasonable accommodation to applicants with disabilities in accordance with the American Disabilities Act and local disability laws. 

For information regarding how Medallia collects and uses personal information, please review our Privacy Policies.

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