Software Engineer (Python, AI/ML, )

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?

Cerence 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 are seeking a talented and innovative AI Specialist to join our team, focusing on developing advanced speech recognition technologies for our voice assistant model in the automotive sector. The ideal candidate will possess strong knowledge and experience in the latest trends and technologies within the AI/ML space. This individual will be responsible for developing and implementing Speech & GenAI solutions, conducting research on emerging technologies, and collaborating with cross-functional teams to enhance our product offerings.

Your Impact

• Research and Development: Stay up-to-date with the latest trends, tools, and technologies in AI and natural language processing (NLP) technologies. Conduct research to recommend innovative solutions that can be implemented within the organization.
• Model Finetuning: Leverage your expertise to effectively optimize the use of LLMs through prompting or fine-tuning, shaping them for optimal accuracy, naturalness, and performance.
• Integrate LLM Capabilities: Design and implement software components and modules to integrate LLM capabilities into Cerence's speech recognition and natural language understanding systems.
• Data Analysis: Analyse large sets of structured and unstructured data to extract meaningful insights.
• Validation and Implementation: Conduct thorough testing and validation of LLM-based features. Support the deployment of models into various environments and ensure high performance, reliability, scalability and robustness in real-world scenarios.
• Collaboration and Cross-Functional Engagement:  Collaborate closely with software engineers, product managers, data scientists and other stakeholders to ensure seamless integration of AI solutions into existing products.
• Mentoring and Training: Share knowledge and expertise with other team members through training sessions and workshops, promoting a culture of learning and innovation.

What you bring

• Bachelor’s degree in computer science, Data Science, Artificial Intelligence, or a related field. A master’s or PhD in a relevant discipline is a plus.
• Good knowledge about Generative AI and Large Language Models. Fine tuning of LLMs, Implementation of LLM based Agents, RAG Pipelines, Function and Tool calling. 
• Proven experience (3+ years) in AI and ML, by developing, fine-tuning and deploying models for real-world applications
• Deep understanding of AI/ML frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn) with a focus on integrating Large Language Models.
• Proficiency in programming languages such as Python.
• Experience with data preprocessing, feature engineering, model selection, and evaluation methodologies involving large-scale datasets and distributed computing environments
• Familiarity with cloud platforms such as AWS, Google Cloud, or Microsoft Azure.
• Strong analytical and problem-solving skills, with the ability to work independently and as part of a team.
• Excellent communication skills (both written and verbal) to convey complex technical concepts to non-technical stakeholders.
• Familiarity with MLOps practices and tools for model monitoring and continuous integration/continuous deployment (CI/CD) (Preferred).
• Familiarity with Dialog implementations, Virtual Assistants, Automatic Speech Recognition (ASR) or Text-to-Speech (TTS) applications. (Preferred)

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
• Remote and/or 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.

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

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.