Speech Recognition Engineer

Vintti is a specialized staffing agency that believes diversity is the catalyst for innovation. We connect US-based SMBs, startups, and firms with exceptional talent from Latin America, fostering a rich tapestry of cultural perspectives within American businesses. Our unique position allows us to handpick professionals who not only possess the required skills but also bring fresh ideas and global insights to the table. Vintti's services go beyond filling positions; we enrich company cultures and expand business horizons on an international scale.

A Speech Recognition Engineer specializes in developing and improving systems that can interpret and process human speech. This role involves working with advanced algorithms, natural language processing techniques, and acoustic modeling to ensure that voice-activated systems, virtual assistants, and automated transcription services can accurately understand and respond to spoken language. The engineer collaborates with cross-functional teams to integrate speech recognition technology into various applications, enhance user experience, and continuously refine performance through machine learning and data analysis.

- Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field.
- Strong foundation in machine learning, natural language processing, and speech recognition technologies.
- Proficiency in programming languages such as Python, Java, or C++.
- Experience with machine learning frameworks such as TensorFlow, PyTorch, or Keras.
- Solid understanding of signal processing and feature extraction techniques for audio data.
- Experience with large-scale data handling, processing, and storage.
- Familiarity with cloud platforms like AWS, Google Cloud, or Microsoft Azure for model training and deployment.
- Strong analytical and problem-solving skills.
- Ability to design, implement, and optimize machine learning algorithms.
- Experience with version control systems, particularly Git.
- Proven track record of developing and deploying speech recognition systems.
- Effective communication and collaboration skills.
- Experience with continuous integration and deployment (CI/CD) pipelines.
- Knowledge of evaluation metrics and techniques for speech recognition performance.
- Ability to debug and troubleshoot complex technical issues.
- Prior experience with data collection and annotation processes.
- Understanding of privacy and security best practices for handling speech data.
- Strong documentation skills for methodologies, processes, and code.
- Willingness to stay updated with the latest research and advancements in the field.

- Develop and refine speech recognition algorithms and models.
- Conduct and oversee data collection and annotation efforts.
- Analyze, preprocess, and prepare audio data for model training and evaluation.
- Implement various machine learning models for speech-to-text functionalities.
- Continuously evaluate and fine-tune model performance using appropriate metrics.
- Research, test, and integrate new algorithms and advanced technologies.
- Collaborate with multidisciplinary teams to design and deploy speech recognition features.
- Debug and troubleshoot issues within speech recognition systems.
- Develop and maintain comprehensive documentation on methodologies, processes, and code.
- Stay abreast of latest trends and advancements in speech recognition and machine learning.
- Plan and conduct experiments to evaluate and compare speech recognition techniques.
- Provide technical mentorship and support to team members.
- Optimize speech recognition systems for performance and accuracy.
- Communicate findings, progress, and results to stakeholders in an understandable manner.
- Utilize cloud-based systems for model training and deployment.
- Participate actively in code review processes to uphold software quality standards.
- Gather and analyze user feedback on system performance.
- Implement rigorous security measures to protect user data and privacy.

The ideal candidate for the Speech Recognition Engineer role possesses a profound foundation in computer science, electrical engineering, or a related field, ideally evidenced by a Bachelor's or Master's degree. They bring a wealth of expertise in machine learning, natural language processing, and speech recognition technologies, complemented by proficiency in programming languages like Python, Java, or C++, and hands-on experience with frameworks such as TensorFlow, PyTorch, or Keras. Demonstrating a solid grasp of signal processing and feature extraction techniques for audio data, they adeptly handle and process large-scale datasets and utilize cloud platforms like AWS, Google Cloud, or Microsoft Azure for seamless model training and deployment. Their strong analytical and problem-solving abilities enable them to design, implement, and optimize sophisticated machine learning algorithms, all while maintaining high-quality documentation. Experienced in version control systems and continuous integration and deployment (CI/CD) pipelines, they exhibit a history of successfully developing and deploying speech recognition systems. Effective in communication and collaboration, this individual thrives in a team setting, offering mentorship and technical guidance. They are intrinsically motivated, innovate continuously, manage time efficiently, and adapt readily to evolving technologies. Ethical conduct regarding data privacy and security is paramount to them, as is their commitment to staying abreast of the latest industry advancements. Crucially, they are detail-oriented, resilient, and possess a strong drive for continuous learning and excellence, making them an invaluable asset to the team.

- Develop and optimize speech recognition algorithms and models.
- Conduct data collection and annotation to improve speech recognition accuracy.
- Analyze and preprocess audio data for training and evaluation purposes.
- Implement machine learning models for speech-to-text applications.
- Evaluate model performance using metrics and fine-tune parameters as needed.
- Research and integrate new algorithms and technologies to enhance speech recognition capabilities.
- Collaborate with cross-functional teams to design and deploy speech recognition features in products.
- Debug and troubleshoot issues related to speech recognition systems.
- Create and maintain thorough documentation on methodologies, processes, and code.
- Stay updated with the latest advancements and trends in speech recognition and related fields.
- Conduct experiments to assess the effectiveness of different speech recognition techniques.
- Provide technical guidance and support to team members on speech recognition projects.
- Optimize existing speech recognition systems for runtime performance and accuracy.
- Prepare and present findings, progress reports, and results to stakeholders.
- Utilize cloud-based platforms and tools to train and deploy speech recognition models.
- Participate in code reviews to ensure high-quality software development practices.
- Engage with the user community to gather feedback on speech recognition system performance.
- Implement safety and security measures to protect user data and privacy.

- Innovative thinker with a passion for developing cutting-edge speech recognition technologies.
- Highly motivated with a strong drive for continuous learning and self-improvement.
- Detail-oriented and committed to delivering high-quality work.
- Strong collaborative skills and ability to work effectively in a team environment.
- Proficient in problem-solving with a knack for debugging and troubleshooting complex systems.
- Excellent communication skills to convey technical information clearly and concisely.
- Demonstrates initiative and ownership in project tasks and deliverables.
- Adaptability to rapidly changing technologies and environments.
- Efficient time management skills with the ability to prioritize tasks effectively.
- Strong ethical standards, particularly regarding data privacy and security.
- Creative mindset with the capability to think out-of-the-box for innovative solutions.
- Resilient and persistent in the face of technical challenges and setbacks.
- Strong organizational skills to manage and document processes methodically.
- Technically versatile and able to manage multiple aspects of speech recognition development.
- Open to receiving and providing constructive feedback for continuous improvement.
- Strong attention to the latest trends and research in the field of speech recognition.

- Competitive salary range
- Comprehensive health, dental, and vision insurance
- Flexible work hours
- Remote work options
- Generous paid time off and holidays
- 401(k) retirement plan with company match
- Professional development opportunities and training programs
- Tuition reimbursement for further education
- Employee wellness programs
- Collaborative and inclusive work environment
- Opportunities for career advancement and promotions
- Stock options or equity
- Life and disability insurance
- Paid parental leave
- Subsidized gym membership
- Employee assistance programs for mental health and well-being
- Regular team-building activities and social events
- Access to the latest tools and technologies
- Support for attending industry conferences and events