Senior Machine Learning Engineer
Tali AI
- Toronto, ON
- Permanent
- Full-time
- You have a degree in Computer Science, Engineering, or a related field with a focus on machine learning, NLP, ASR, or equivalent practical experience.
- You have at least 8 years of professional experience in machine learning engineering, with a strong emphasis on NLP and ASR.
- Proficiency in programming languages such as Python, Java, or C++ for implementing machine learning algorithms and building scalable systems.
- Deep understanding of NLP techniques including text classification, named entity recognition, sentiment analysis, and machine translation.
- Solid grasp of ASR concepts such as acoustic modeling, language modeling, and speech signal processing.
- Strong problem-solving skills and the ability to think creatively to overcome challenges in machine learning projects.
- Excellent communication skills and the ability to collaborate effectively in a team environment.
- Lead the design, development, and implementation of state-of-the-art machine learning models and algorithms for NLP and ASR applications.
- Conduct research and stay up-to-date with the latest advancements in NLP and ASR to continuously enhance our technology stack.
- Collaborate with cross-functional teams including software engineers, data scientists, and product managers to integrate machine learning solutions into our products and services.
- Analyze and preprocess large volumes of text and speech data to extract meaningful insights and features for model training.
- Optimize model performance and scalability to meet stringent latency and throughput requirements.
- Conduct thorough experimentation and evaluation to assess the performance of NLP and ASR models and identify areas for improvement.
- Provide mentorship and guidance to junior members of the machine learning team, fostering a culture of continuous learning and innovation.
- Growth: we have a growth mindset; we want to learn and improve a little (or a lot!) every day.
- Purpose: we care about our team and our community; we understand the purpose of our work and take it seriously.
- Innovation: we're all about innovation and cutting edge technology; we don't shy away from a challenge.
- Comprehensive health and wellness benefits package from day one
- Three weeks paid vacation and additional company-wide holiday between Dec 25 - Jan 1
- Half day Fridays (35-hour work week)
- “Knowledge Dollars” to invest in annual professional development
- Quarterly socials & company outings
- Fully remote work
- Selected candidates will be contacted for an initial 30-minute interview
- Hiring Manager Interview
- Interview with a Co-Founder/Executive Leader
- Decision Stage