[Remote] Senior Research Scientist at Cerence

Germany

Cerence Logo
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
AutomotiveIndustries

Requirements

  • Master University degree in Computational Linguistics, Computer Science, Information technology or a comparable field
  • 3 or more years of work experience
  • Good oral and written knowledge of the English language
  • Solid background in ASR with familiarity in acoustic modeling and ASR tools
  • Proficiency in C/C++ and scripting languages (Bash, Python, Matlab etc.)
  • Hands-on experience in speech recognition accuracy evaluation and performance tuning
  • Strong problem-solving skills; self-driven and diligent in addressing real-world challenges
  • Good communication and teamwork skills
  • Ability to work independently, while yet being a team player
  • Positive "can-do" attitude, well organized, focusing on achieving results cost-effectively
  • Self-learner, with sense of initiative, and perseverance to deliver high quality work
  • Knowledge of languages other than English (good to have)
  • Background in speech technology or language processing (good to have)

Responsibilities

  • Analyze customer requirements and translate them into ASR feature specifications
  • Define and prepare data required for training ASR models
  • Develop and optimize algorithms for wake-up word (WuW) recognition
  • Leverage existing tools and technologies or innovate new ones to meet project needs
  • Collaborate with application engineers and QA teams to deliver high-quality ASR/WuW solutions within project scope
  • Develop demos and deploy ASR solutions across HW/SW platforms such as Android, Linux, and QNX
  • Contribute to process development and maintenance for production use in key projects
  • Support benchmarking activities and other strategic management initiatives

Skills

Key technologies and capabilities for this role

ASRNLUGenAIMachine LearningWake-up Word RecognitionAndroidLinuxQNX

Questions & Answers

Common questions about this position

What education and experience are required for this Senior Research Scientist role?

A Master's degree in Computational Linguistics, Computer Science, Information Technology, or a comparable field is required, along with 3 or more years of work experience. Candidates must have a solid background in ASR with familiarity in acoustic modeling and ASR tools, proficiency in C/C++ and scripting languages like Bash, Python, and Matlab, and hands-on experience in speech recognition accuracy evaluation and performance tuning.

What are the key soft skills needed for this position?

Strong problem-solving skills, good communication and teamwork skills, ability to work independently while being a team player, a positive 'can-do' attitude, and being well-organized with a focus on achieving results cost-effectively are essential. Self-learning ability, initiative, and perseverance to deliver high-quality work are also required.

What is the compensation or salary for this role?

This information is not specified in the job description.

Is this a remote position, or what is the location policy?

This information is not specified in the job description.

What is the team like at Cerence for this role?

The candidate will join Cerence's international, dynamic Modeling team that delivers advanced ASR, NLU, and GenAI models, collaborating with AI modeling research and language rollout teams.

Cerence

AI solutions for automotive in-car experiences

About Cerence

Cerence develops AI-powered solutions specifically for the automotive industry, focusing on improving the in-car experience for drivers and passengers. Their products include voice recognition systems and AI-driven assistants that enhance entertainment, connectivity, and safety while driving. Cerence collaborates with major automotive manufacturers to integrate these technologies into vehicles, such as the Mercedes Benz User Experience. Unlike many competitors, Cerence emphasizes a comprehensive approach that includes ongoing support and upgrades, ensuring their technology adapts to trends like smart cities and electric vehicles. The company's goal is to transform transportation and shape the future of mobility through innovative and user-friendly solutions.

Burlington, MassachusettsHeadquarters
2019Year Founded
$190MTotal Funding
IPOCompany Stage
Automotive & Transportation, AI & Machine LearningIndustries
1,001-5,000Employees

Risks

Increased competition from SoundHound threatens Cerence's market share.
Voice AI payments trend pressures Cerence to expand beyond automotive.
CEO Brian Krzanich's appointment may lead to disruptive strategic shifts.

Differentiation

Cerence specializes in AI-powered solutions for the automotive industry.
The company collaborates with industry leaders like Nuance and Daimler.
Cerence's solutions include voice recognition and AI-driven assistants.

Upsides

Cerence's partnership with Mapbox enhances voice-powered navigation for cars.
The introduction of CaLLM Edge positions Cerence as a leader in automotive AI.
Growing two-wheeler market offers expansion opportunities for Cerence Ride.

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