Remote Senior Machine Learning Engineer

Description:

• Tali AI is seeking a Senior Machine Learning Engineer to enhance their AI Scribe technology aimed at reducing physician burnout.
• The role involves understanding, processing, and generating natural language, as well as improving speech recognition systems.
• The engineer will lead the design, development, and implementation of advanced machine learning models for NLP and ASR applications.
• Responsibilities include conducting research on the latest advancements in NLP and ASR, collaborating with cross-functional teams, and analyzing large volumes of text and speech data.
• The position also requires optimizing model performance, conducting evaluations, and mentoring junior team members.

Requirements:

• Candidates must have an educational background in Computer Science, Engineering, or a related field with a focus on machine learning, NLP, ASR, or equivalent practical experience.
• A minimum of 8 years of professional experience in machine learning engineering, particularly in NLP and ASR, is required.
• Proficiency in programming languages such as Python, Java, or C++ for implementing machine learning algorithms is essential.
• A deep understanding of NLP techniques, including text classification, named entity recognition, sentiment analysis, and machine translation, is necessary.
• Candidates should have a solid grasp of ASR concepts, including acoustic modeling, language modeling, and speech signal processing.
• Strong problem-solving skills and creativity in overcoming challenges in machine learning are required.
• Excellent communication and collaboration skills are essential for thriving in a team environment.

Benefits:

• The position offers fully remote work and flexible work hours.
• Employees enjoy half-day Fridays, resulting in a 35-hour work week.
• Comprehensive health and wellness benefits are provided from day one.
• Competitive vacation policies and a company-wide holiday between December 25 and January 1 are included.
• Support for learning and development is available.
• Employees can participate in quarterly socials and company outings.