Remote Data Scientist Jobs

Candidates must possess a PhD in Physics or a related field and have a deep understanding of machine learning algorithms and techniques, including experience in building and deploying models from scratch. Strong analytical and problem-solving skills are essential, along with a passion for the real-world application of machine learning and a desire to make a significant impact on large-scale business initiatives.

Candidates should have experience with Machine Learning or alignment research, a strong interest in AI alignment and a positive outlook on humanity’s ability to solve problems and navigate accelerating AI capabilities, eagerness to utilize AI for automation, comfort in a fast-paced startup environment, proven data science experience as a primary or equal contributor with multiple projects and stakeholder management, experience working with or building deep learning-based computer vision or NLP m…

Candidates must possess a PhD in Physics or a related field and have a deep understanding of machine learning algorithms and techniques. Experience in building and deploying models from scratch, strong analytical and problem-solving skills, and a passion for the real-world application of machine learning are essential. The ability to translate complex business requirements into practical modeling solutions and a desire to make a significant impact on large-scale business initiatives are also req…

Candidates should possess a PhD in Physics or a related field and have a deep understanding of machine learning algorithms and techniques, including experience in building and deploying models from scratch. Strong analytical and problem-solving skills are essential, along with a passion for the real-world application of machine learning and a desire to make a significant impact on large-scale business initiatives.

Candidates must possess a PhD in Physics or a related field and have a deep understanding of machine learning algorithms and techniques, including experience building and deploying models from scratch. Strong analytical and problem-solving skills are essential, along with a passion for the real-world application of machine learning and a desire to make a significant impact on large-scale business initiatives.

Candidates must possess a PhD in machine learning, artificial intelligence, biomedical engineering, or a related field, with at least 5 years of post-PhD industry experience in applied ML within a product setting. Strong programming skills in Python and experience with cloud-based ML platforms like AWS, Github, Pytorch, and Docker are essential, along with a deep understanding of scalable ML workflows, data pipelines, evaluation frameworks, and production deployment. Experience with large time-s…

Candidates should possess 7+ years of experience in data science or machine learning, with at least 3+ years in mentorship or leadership roles demonstrating the ability to guide and support other data team members and stakeholders. They should have experience leading ML initiatives from conception to production across multiple business domains, a strong understanding of machine learning libraries such as scikit-learn and TensorFlow, and a deep foundation in statistics and applied statistical ana…

Candidates should possess 8+ years of industry experience in Machine Learning, or a PhD plus 5 years of experience, and hold an MS in Machine Learning, Computer Science, or a related technical field, with a PhD preferred. They must be a 10x developer capable of utilizing auto-code generation techniques for ML and scalable distributed applications, and demonstrate a strong foundation in modern ML techniques such as DNNs, transformers, LLMs, and classification.

Candidates should possess a strong problem-solving ability, a disposition suited for self-management, and ideally, experience composing Gilbert and Sullivan parodies that would offend Victorian sensibilities. They should have fluency in Python, proven data science experience as a primary or equal contributor with multiple projects and experience managing stakeholders, comfort with the statistics and methods deployed in classification problems, and familiarity with NLP/NLU.

Candidates should have at least 3 years of industry experience as a Machine Learning Engineer, focusing on constructing data pipelines and developing machine learning models. They must demonstrate the ability to autonomously evaluate new concepts or enhance existing machine learning projects, potentially contributing to published works. Extensive experience in conducting exploratory research to improve data quality, especially in audio and text-to-speech domains, is required.

Candidates must possess strong software engineering and coding skills in Python, with experience contributing to production codebases. A minimum of 5 years of experience developing and deploying ML models end-to-end, including research, prototyping, and production implementation, is required. Hands-on experience with deep learning architectures such as ConvNets or Transformers is essential. An advanced degree (MS or PhD) in computer science, statistics, mathematics, or a related quantitative fie…