Senior Machine Learning Engineer | Contract to hire

Key Skills

AI technology, C Programming, C++, Computer Vision (CV), Data Classification, Effective communication skills, Generative AI, Java Programming, Large scale data processing, Machine learning techniques, Natural Language Processing (NLP), Natural Language Understanding-NLU, Python Programming, PyTorch, Ranking, Recommendation Systems, Reinforcement Learning, Speech recognition, Speech Technology, TensorFlow

Job Description

About Role

At Got It, Machine Learning Engineers and Scientists develop cutting-edge technology and integrate it into our conversational AI platform. Our engineers and scientists bring fresh ideas from a diverse set of areas, including natural language processing, speech, and conversational AI, cloud computing, large-scale system design, artificial intelligence, and more. We need our team to be enthusiastic and versatile, display leadership, and take on problems across the full stack.

As an ML research engineer, you would work with a fast-paced team on mission-critical R&D projects toward specific, and ever-evolving, business goals. With your technical expertise, you will get the opportunity to work on state-of-the-art Conversational AI and NLP research such as Reinforcement Learning, Zero-shot, and Few-shot Learning, Transformers based large-scale Language Models, No Code AI, Language Understanding, Natural language generation, Information Retrieval, and Speech Recognition.

This is a contract-to-hire position.

Minimum requirements:

• Master's degree in Computer Science or related field or equivalent practical experience
• Strong design and development skills and 3+ years of experience in the software industry
• 2+ years of experience with one or more of the following: Natural Language Processing, Conversational AI, Speech Recognition, Text Understanding, Classification, Pattern Recognition, Recommendation Systems, Computer Vision, Reinforcement Learning, Ranking Systems, or similar
• Experience with one or more general-purpose programming languages including but not limited to: Python, Java, or C/C++
• Experience with relevant technologies (e.g., PyTorch, Tensorflow, machine learning libraries)
• Experience working effectively with science, data processing, and software engineering teams
• Excellent written and spoken communication skills
• Entrepreneurial spirit combined with strong architectural and problem-solving skills

Preferred qualifications:

• PhD or 4+ years of experience with specialization in one of the following areas: NLP, Conversational AI, or Machine Learning
• Research Publications