Machine Learning Engineer
Two Dots Inc
- San Francisco, California, United States
- San Francisco, California, United States
Über
Work autonomously to design, develop and deploy machine learning models Analyze large datasets to uncover insights and trends that inform product development and personalized customer experiences Continuously monitor and improve the performance of deployed models, ensuring they meet business objectives and scalability requirements Stay up to date with the latest advancements in machine learning, AI, data science and engineering, and apply this knowledge to improve our products and services Desirable Traits:
3+ years of experience in a Machine Learning or Data Engineering role, with a strong proficiency in Python and ML frameworks like PyTorch required Proven ability to improve models for key information extraction, including named entity recognition and matching, and financial document classification Experience with active learning, HITL driven workflows; working with large labeling and quality teams is a plus Strong problem solving skills, with the ability to think critically and creatively Excellent communication and interpersonal skills, capable of explaining complex operational information in an understandable way A proactive, curious mindset with a relentless pursuit of excellence and innovation in tackling complex problems Hungry for personal and professional growth and ready to scale with Two Dots! What you get in return:
An opportunity to revolutionize the real estate leasing industry and own projects that make a tangible impact An environment with a work culture that is based on trust, ownership, flexibility and a growth mindset A competitive salary, comprehensive equity package, and substantial benefits
Closing: Two Dots is an equal opportunity employer. We aim to build a workforce of individuals from different backgrounds, with different abilities, identities, and mindsets. Even if you do not meet all of the qualifications listed above, we encourage you to apply!
Sprachkenntnisse
- English
Hinweis für Nutzer
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