Remote Data Scientist Jobs

- B.S, M.S. or Ph.D. Degree in Engineering, Data Science, Computer Science, Math, or a related quantitative field - 5+ years of hands-on experience as a Data Scientist or ML Engineer with a strong focus on algorithm design and machine learning - Experience working with multimodal data like visual data (images/video), structured perception and behavior outputs (e.g., agent tracks, vehicle state estimation, motion planner outputs) - Expert-level programming skills in Python with extensive use of m…

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 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 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…

- Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or a related field - 4 plus years of hands-on experience in developing and deploying machine learning models - Ability to write scalable production-quality code - Proficiency in classical machine learning methods and familiarity with newer techniques like LLMs - Excellent programming skills in Python, Java, or similar languages - Experience with machine learning frameworks such as TensorFlow, PyTorch, Hugging Face, Ker…

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.

- 7+ years of experience in computer science, software engineering, or equivalent field, with a strong portfolio in real-world deployed models - Healthcare domain experience (EHR, EMR, FHIR/HL7) - Proficiency in Python and modern frameworks (e.g., PyTorch, Pandas, FastAPI) - Experience with synthetic data generation, fine tuning, model evaluation, and other AI techniques - Familiar with container orchestration and deploying applications in different cloud services - Passion to build technology t…

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.

- 5+ years of experience building AI and/or machine learning models for business applications - 3+ years of hands-on experience with training, fine-tuning, evaluating, and deploying models in production - 3+ years of experience with data lake and cloud services, preferably GCP - Bachelor’s degree or higher in Computer Science, Operations Research, Statistics, Mathematics or related field. Master’s degree strongly preferred - Data Science or AI certifications - Deep expertise in machine learning,…

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 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…

Candidates must possess a Master's Degree and at least 3 years of experience in research/ML engineering or an applied research scientist role, with a focus on developing production-ready AI solutions. Required skills include experience with Agentic AI System Design, collaboration with MLOps and DevOps teams, proficiency in SQL, Python, and data analysis/data mining tools, experience with machine learning frameworks (Scikit-Learn, Tensorflow, or Pytorch), high-performance, large-scale ML systems,…