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 Master's degree in a quantitative field such as Mathematics, Computer Science, Accounting, Engineering, or Economics, along with 12 or more years of experience as an Applied Scientist, Data Scientist, or Machine Learning Engineer. Demonstrated experience in developing impactful machine learning models, deploying ML/AI solutions to production, and expertise in NLP, LLMs, Generative AI, and/or Reinforcement Learning are essential. Proficiency in Python, SQL, and machine l…

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 a Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related field, and have a strong foundation in machine learning principles and algorithms. Experience with Python and relevant machine learning libraries is essential, along with familiarity with large datasets and data processing techniques.

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 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 real-world ML applications 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 required.

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 should possess a PhD (or equivalent experience) in Machine Learning, Computational Biology, Bioinformatics, Computer Science, or a related field, with a minimum of 3 years of relevant experience. Demonstrated expertise in applying deep learning techniques to omics data at scale is required, along with proficiency in Python and modern deep-learning frameworks such as PyTorch or JAX. A solid understanding of causal inference, experimental design, and statistics is essential, as is famil…

Candidates should possess strong problem-solving skills, demonstrating the ability to analyze and solve complex issues, along with a self-management disposition that allows them to work independently and effectively manage their time. Applicants must be fluent in Python, have proven experience in data science through multiple projects, and exhibit familiarity with statistical methods and classification problems, including an understanding of Natural Language Processing (NLP) and Natural Languag…

The Staff Data Scientist should possess 8+ years of relevant work experience in a data or quantitative role, demonstrated success in a startup, high-growth, or fast-paced organization. A graduate degree in data science, analytics, mathematics, machine learning, computer science, or a related field is preferred. Experience in marketplace, e-commerce, or fashion/retail domains is also preferred, along with experience in web and app product environments. The candidate must demonstrate success in no…

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…

Candidates should possess an Advanced degree (Master’s or PhD preferred) in Computer Science, Data Science, Statistics, Engineering, or a related quantitative field, along with 10+ years of experience in AI, machine learning, or data science, including significant leadership or management roles. Deep knowledge of modern AI/ML algorithms, frameworks, and best practices (e.g., supervised/unsupervised learning, deep learning, NLP, computer vision) and strong programming skills in languages such as …

Candidates should possess an advanced degree in data science, statistics, computer science, or a related field, along with at least five years of experience in data science, encompassing both modeling and analysis. Proficiency in Python is essential, coupled with a deep understanding of SQL and expertise in machine learning principles and techniques. Experience with industry-standard modeling toolkits such as scikit-learn, JupyterLab, pandas, matplotlib, statsmodels, and other relevant Python li…