Machine Learning Engineer, Voci (Remote, US)
Remote, California
Medallia
Medallia's software platform provides keen insights to improve customer experience, contact center experience, employee experience and digital experience.
Medallia’s mission is to help companies win through customer experience. The world’s best-loved brands trust Medallia’s Experience Cloud™, which embeds the pulse of the customer in an organization and empowers employees with the real-time customer data, insights, and tools they need to make every experience great. Named a leader in the most recent Forrester Wave and ranked in the 2018 Forbes Cloud 100 list, Medallia is growing quickly, with a global footprint that spans Silicon Valley, Austin, New York, Washington DC, London, Paris, Sydney, Buenos Aires, Tel Aviv, and Prague. Here, we value people for each of the aspects that make them whole. We believe that people should not be defined only by a job title—nobody is "just an engineer" or "just a salesperson." We are each partners, parents, children, siblings, friends, and former classmates. We have different backgrounds and we celebrate different cultures. And, just like our product, we honor each of the experiences that build our people.
At Medallia we hire the whole person, not just a part of them.
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 testingproduction code, and tracing error reports from the field. The linguistic classification libraries that you helpto build will be deployed primarily within our high-speech, state-of-the-art multilingual speech transcriptionserver.
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
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.
At Medallia we hire the whole person, not just a part of them.
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 testingproduction code, and tracing error reports from the field. The linguistic classification libraries that you helpto build will be deployed primarily within our high-speech, state-of-the-art multilingual speech transcriptionserver.
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)
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.
Tags: Big Data Classification Computer Science Engineering Git Machine Learning Matlab ML models NumPy Perl Prototyping Python R Research Statistics Testing
Perks/benefits: Flex vacation
Regions:
Remote/Anywhere
North America
Country:
United States
Job stats:
21
5
0
Categories:
Engineering Jobs
Machine Learning Jobs
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Lead Data Analyst jobs
- Open MLOps Engineer jobs
- Open Data Science Manager jobs
- Open Senior Business Intelligence Analyst jobs
- Open Data Manager jobs
- Open Data Engineer II jobs
- Open Power BI Developer jobs
- Open Principal Data Engineer jobs
- Open Sr Data Engineer jobs
- Open Data Analytics Engineer jobs
- Open Business Intelligence Developer jobs
- Open Junior Data Scientist jobs
- Open Data Scientist II jobs
- Open Product Data Analyst jobs
- Open Senior Data Architect jobs
- Open Sr. Data Scientist jobs
- Open Business Data Analyst jobs
- Open Big Data Engineer jobs
- Open Data Analyst Intern jobs
- Open Manager, Data Engineering jobs
- Open Azure Data Engineer jobs
- Open Data Product Manager jobs
- Open Data Quality Analyst jobs
- Open Junior Data Engineer jobs
- Open Principal Data Scientist jobs
- Open Data quality-related jobs
- Open Business Intelligence-related jobs
- Open GCP-related jobs
- Open ML models-related jobs
- Open Data management-related jobs
- Open Java-related jobs
- Open Privacy-related jobs
- Open Finance-related jobs
- Open Data visualization-related jobs
- Open APIs-related jobs
- Open Deep Learning-related jobs
- Open PyTorch-related jobs
- Open TensorFlow-related jobs
- Open PhD-related jobs
- Open Consulting-related jobs
- Open Snowflake-related jobs
- Open NLP-related jobs
- Open CI/CD-related jobs
- Open Kubernetes-related jobs
- Open Data governance-related jobs
- Open Airflow-related jobs
- Open Hadoop-related jobs
- Open LLMs-related jobs
- Open Generative AI-related jobs
- Open Databricks-related jobs