Artificial Intelligence and Machine Learning Engineer
3 days ago
At Saplings-HR, we're on a mission to leverage AI and machine learning to transform industries.
The ideal candidate will contribute to the design, development, and improvement of AI/ML models and systems, working with applied scientists, data scientists, software engineers, and product partners to deliver AI/ML solutions in production at scale.
We empower each team member to have tangible impact and grow their own scope by intentionally building a culture centered around collaboration, transparency, autonomy, and continuous learning.
Our focus is on creating mission-critical AI systems solving some of the trickiest problems in computer vision, and our innovation has already improved the lives of 100,000s of people so far.
We're a diverse team, uniting individuals of over 40 different nationalities and from varied backgrounds, with machine learning researchers and motor engineers collaborating together on a daily basis.
- Design and develop AI/ML models, workflows, and end-to-end pipelines for data preparation, training, deployment, monitoring, etc., and ensure the quality of architecture and design of our ML models and systems.
- Deliver customer-facing and/or underlying AI/ML solutions that empower our platform to provide the best experience for our customers.
The successful candidate will have extensive knowledge and practical experience in several of the following areas: machine vision (classical methods and deep learning) and information retrieval. Natural language processing is a plus.
They should have demonstrated experience in building scalable AI/ML models and systems and delivering end-to-end solutions in a production environment.
Prior experience with machine learning libraries and deep learning frameworks (TensorFlow, PyTorch, etc.) is also desirable.
Some of the key projects include building high-quality input capture mechanisms for our users, creating a state-of-the-art damage assessment stack for auto damage, or delivering explainable and human-centric decision-making engines.
RequirementsBASIC QUALIFICATIONS
- Master's in Computer Science, Machine Learning, or related quantitative field. A PhD in Computer Science or related fields with a focus on Machine Learning is a strong plus.
- Extensive knowledge and practical experience in several of the following areas: machine vision (classical methods and deep learning) and information retrieval. Natural language processing is a plus.
- Demonstrated experience in building scalable AI/ML models and systems and delivering end-to-end solutions in a production environment.
- Experience programming in Python, C++, or related languages.
Preferred Qualifications
- Publications at top-tier peer-reviewed conferences or journals or a proven track record of industry innovation in creating novel solutions and advancing the state of the art.
- Experience with machine learning libraries and deep learning frameworks (TensorFlow, PyTorch, etc.).
- Experience with end-to-end software development and life cycle of machine learning solutions.
- Excellent verbal and written communication skills, with the ability to communicate complex technical concepts and solutions to all levels of the organization.
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