Senior Data R&D Engineer (Python, Research Tools Development)

A Moving Experience.

Do you have a passion for pushing the boundaries of innovation? Are you excited about AI’s potential to improve the human experience? Then come join the ride!

Who is Cerence AI?

Cerence AI is the global leader in AI for transportation, specialized in building AI and voice-powered companions for cars, two-wheelers, and more that enable people to focus on what matters most. With over 500 million cars shipped with Cerence technology, we partner with leading automakers (such as Volkswagen, Mercedes, Audi, Toyota and many more), mobility providers, and technology companies to power intuitive, integrated experiences that create safer, more connected, and more enjoyable journeys for drivers and passengers alike.

Our Driving Force

Our team is dedicated to pushing the boundaries of AI innovation, working around the globe with headquarters in Burlington, Massachusetts, USA and 16 other offices across Europe, Asia, and North America. We bring together diverse backgrounds and varied skill sets with the shared goal of advancing the next generation of transportation user experiences. Our culture is customer-centric, collaborative, fast-paced, and fun, with continuous opportunities for learning and development to support your career growth.

Interested in having a significant impact in a dynamic industry with a high-performing global team?

We at Speech Input Division are looking for an excellent Senior software engineer or Senior developer to join the Data and Tools Team. We are responsible for the data backend of speech recognition, NLU and Generative AI models that power our Voice AI product and across 30+ languages globally.

Your key contribution would be to:

1) Help ensuring that our systems are always aware of named entities such as artists, music, movies, navigation PoIs etc. which are aggregated from multiple sources. A key aspect is to ensure the content is pure, standardized, matching what end users speak, and sorted by relevance.

2) Keep the data pipelines organized well and performant.

3) Build and enhance proprietary tools that automate the data processing pipeline and model release and evaluation for ASR, NLU, Generative AI for 30+ languages on embedded and cloud platforms.

Your Impact:

• Text processing in multiple languages
• Extract content from databases
• CI/CD for data pipelines
• Write web scrapers and spiders
• Development of research tools
• Automate AI Models release and evaluation pipelines
• Testing and monitoring of the team’s infrastructure

Skills You Bring:

Core:

• Education: MSc / MTech in Computer Science, Engineering, or equivalent.
• Excellent BSc / BTech candidates can be considered.
• At least 5 years of development experience in Python and /or Java/C++
• Minimum years of work experience: 6
• Strong programming skills in Python and /or Java/C++
• Data processing: Especially using Pandas library, JavaScript & Spark/Pyspark
• Unix/Linux on user level
• Querying large databases in SQL, RDF or similar
• Excellent written and spoken English
• Comfortable working in an international, distributed team

Preferred:

• Experience in text data parsing and data mining
• Working knowledge of Jenkins, Gradle
• Elasticsearch & Data Visualization
• Experience/Knowledge with cloud computing infrastructure
• Experience with data versioning tools such as GIT, DVC
• Knowledge of orchestration frameworks such as Airflow
• Text encoding
• Background in natural language understanding, data science, or speech recognition
• Knowledge of multiple languages is a plus, Indian languages as well as international

What we offer:

We offer a generous compensation and benefits package (in addition to the base salary), including:

• Annual bonus opportunity
• Insurance coverage (medical, life, and disability)
• Paid time off
• Paid holidays
• Company contribution to the RRSP (Registered Retirement Savings Plan)
• Equity awards for certain positions and levels
• Hybrid work available depending on the position
• All compensation and benefits are subject to the terms and conditions of the underlying plans or programs, as applicable, and may be amended, terminated, or replaced from time to time.

Cerence Inc. (Nasdaq: CRNC and www.cerence.com) is the global industry leader in creating unique, moving experiences for the automotive world. Spun out from Nuance in October 2019, Cerence is a new, independent company that has quickly gained traction as a leader in the automotive voice assistant space, working with all of the world’s leading automakers – from Ford and Fiat Chrysler to Daimler, Audi and BMW to Geely and SAIC – to transform how a car feels, responds and learns. Its track record is built on more than 20 years of industry experience and leadership and more than 500 million cars on the road today across more than 70 languages.

As Cerence looks to the future and continues an ambitious growth agenda, we need someone to join the team and help build the future of voice and AI in cars. This is an exciting opportunity to join Cerence’s passionate, dedicated, global team and be a part of meaningful innovation in a rapidly growing industry.

EQUAL OPPORTUNITY EMPLOYER

Cerence is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination on the basis of age, race, color, gender, gender identity, gender expression, sex, sex stereotyping, pregnancy, national origin, ancestry, religion, physical or mental disability, medical condition, marital status, citizenship status, sexual orientation, protected military or veteran status, genetic information and other protected classifications. Cerence Equal Employment Opportunity Policy Statement.

All prospective and current Employees need to remain vigilant when it comes to executing security policies in the workplace. This includes:

- Following workplace security protocols and training programs to familiarize with the ways to maintain a safe workplace.
- Following security procedures to report any suspicious activity.
- Having respect for corporate security procedures to allow those procedures to be effective.
- Adhering to company's compliance and regulations.
- Encouraging to follow a zero tolerance for workplace violence.

- Basic knowledge of information security and data privacy requirements (e.g., how to protect data & how to be handling this data).

- Demonstrative knowledge of information security through internal training programs.