Data Science & Machine Learning Jobs

Join to apply for the Machine Learning Engineer - Member of Technical Staff role at Conductor Quantum. This role involves designing and implementing machine learning pipelines, developing computer vision models, deploying models to cloud infrastructure, and collaborating with customers and internal teams to develop innovative quantum control solutions.. Design and implement Python-based pipelines for analyzing quantum device data and automating calibration.. Develop machine learning models for real-time optimization, adaptive tuning, and self-correcting systems, utilizing techniques like Bayesian optimization and reinforcement learning.. Deploy ML and CV models to cloud platforms (AWS, GCP, Azure) and build backend services for inference, data streaming, and orchestration.

Drive adoption of advanced analytics techniques, including predictive modeling, machine learning, and artificial intelligence.. Direct creation of data pipelines, ETL processes, and transformation workflows using tools like SSIS, SSRS, SSAS, and SQL databases.. Extensive hands-on experience with Microsoft data warehouse technologies (SSIS, SSRS, SSAS, SQL databases) and big data technologies on AWS and Azure.. Proficiency in Business Intelligence reporting tools such as Power BI, Tableau or similar, required.. Knowledge of Databricks and Snowflake data platforms is advantageous

Citian is a fast growing, venture backed SaaS technology company based in Washington, DC. Our software solutions revolutionize how our transportation systems – roads, rail, transit, bicycle, pedestrian – operate. Citian is seeking to hire a Transportation Data Scientist who will play a crucial role in developing and implementing state-of-the-art machine learning models for use cases in traffic safety, mobility, and city planning. The ideal candidate will exhibit excellent knowledge of the data science and data engineering disciplines with transportation industry experience, including working with large datasets in a Python/SQL environment. Strong knowledge of Python, SQL, Python data science libraries (Pandas, Numpy, Scikit-learn, etc. Opportunity to gain valuable experience and make a significant impact in a fast growing, venture-backed tech startup

The mission of the Central Technology ML (CTML) team is to pioneer and implement the technology roadmap that paves the way for the future of machine learning computing on Arm architecture. Develop an in-depth understanding of current and future ML workloads on ARM compute platforms, focusing on performance, power, and area (PPA). A Master’s or PhD degree in Computer Engineering, Electrical Engineering, Computer Science, or related fields. Knowledge of deep learning libraries such as TensorFlow and PyTorch. Experience training large deep learning models on GPU-based systems.

Kodiak Robotics, Inc. was founded in 2018 and has become a leader in autonomous ground transportation committed to a safer and more efficient future for all. Proficiency in Python and deep learning frameworks like PyTorch or TensorFlow.. Excellent Medical, Dental, and Vision plans through Kaiser Permanente, Anthem, and Guardian (including a medical plan with infertility benefits).. Office perks: dog-friendly, free catered lunch, a fully stocked kitchen, and free EV charging.. Get notified about new Artificial Intelligence Engineer jobs in San Francisco, CA

This goes for the emissions-free Electric Adventure Vehicles we build, and the curious, courageous souls we seek to attract. If you are passionate about applying Machine Learning and data mining to the driving domain and shipping improvements to our customers, we would like to talk with you!. Expert level knowledge and experience Python and PyTorch or TensorFlow.. Rivian may transfer or store internationally your Candidate Personal Data, including to or in the United States, Canada, the United Kingdom, and the European Union and in the cloud, and this data may be subject to the laws and accessible to the courts, law enforcement and national security authorities of such jurisdictions. For more information about recommended computer security practices, please go toresources on the FTC's consumer information site where you can learn how to protect yourselves online and avoid phishing attacks.

As a dedicated Director, Data Scientist, you will lead a team of Data Scientists responsible for identifying, scoping, and translating business problems into applied statistical, machine learning, simulation, and optimization solutions to inform actionable business insights and drive business value through automation, revenue generation, and expense and risk reduction.. Responsible for the team's model inventory and ensures compliance with USAA model risk policies and regulatory expectations.. 8 years in predictive modeling, model governance, machine learning and large data analysis., OR Advanced Degree (e.g., Master's, PhD) in Mathematics, Statistics, Data Science, Computer Science, or related quantitative STEM field (Science, Technology, Engineering and Math) field and 6 years in predictive modeling, model governance, machine learning and large data analysis.. Experience with various languages, applications, and technologies (such as SQL, Python, R, Spark, Hadoop etc.). Experience in developing and reviewing modeling solutions based on broad range of techniques – e.g., linear and logistic regressions, time series methods, survival analysis, support vector machines, neural networks, decision trees, random forests, gradient-boosting methods, deep learning, k-means and other clustering methods, simulation methods, or other advanced techniques.

Master’s degree or PhD in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Economics, Engineering, Operations Research).. 14+ years of industry experience (or equivalent post-graduate experience) in data science, experimentation, statistical modeling, and machine learning, including work with large-scale systems.. Proficient in Python and SQL; familiarity with big data tools (e.g., Spark, Hive) and cloud computing platforms (e.g., GCP, AWS).. Strong systems thinking—able to zoom out and define strategy while also diving deep into code and analysis.. Familiarity with modern data orchestration and versioning (e.g., Airflow, dbt, MLflow).

Familiarity with the AI/ML software stack (e.g. CUDA, PyTorch, TensorFlow, Ray). A PhD in Computer Science, Computer Engineering, Electrical Engineering, Cybersecurity, Information Security, Information Technology, Mathematics, Applied Mathematics, Physics, Applied Physics, Engineering Physics, Artificial Intelligence, Machine Learning, Engineering and Public Policy, Technology and Policy, National Security Policy, Policy Analysis, Political Science, International Relations, or similar with at least 3 years of relevant professional experience is required.. Fully remote work will also be considered.. Think Tanks, Research Services, and Non-profit Organizations. Senior Digital Strategist & UX Researcher

Publish the research results at top-tier conferences and journals in machine learning and robotics.. Ph. D. in computer science, robotics, mechanical engineering, electrical engineering, or a related field.. Familiarity with deep learning platforms such as TensorFlow and PyTorch.. Experience with simulation platforms and engines, such as MuJoCo, PyBullet, IsaacSym, IsaacGym, Unreal Engine.. Experience in frameworks and methodologies utilized in building LLM, LVM, and LMM applications.

Evaluate and fine-tune LLMs, ASR, and TTS systems for high-performance production use.. Drive experimentation frameworks, performance evaluation, and data strategy.. PhD or MS in Machine Learning, NLP, Speech Processing, or a related field.. Deep knowledge of transformer-based architectures and experience with LLMs. Strong programming skills in Python and experience with ML libraries (e.g., PyTorch, TensorFlow, Hugging Face)

Founded in 2016, Nuro has spent eight years developing autonomous driving (AD) technology and commercializing AD applications. The Nuro Driver is our world-class autonomous driving system that combines AD hardware with our generalized AI-first self-driving software. Nuro has raised over $2B in capital from Fidelity, Bailie Gifford, T. Rowe Price, Google, and other leading investors. Strong Python skills with experience in deep learning frameworks, e.g., PyTorch, TensorFlow, or Jax. Neurodivergence, for example, attention-deficit/hyperactivity disorder (ADHD), autism spectrum disorder, dyslexia, dyspraxia, other learning disabilities

Hedra is a pioneering generative media company backed by top investors at Index, A16Z, and Abstract Ventures. Overview: We are looking for an ML Engineer to join our team and work on the development and implementation of our machine learning models, with a focus on data processing and model testing. Qualifications: Bachelor’s or Master’s degree in Computer Science, Machine Learning, or a related field, suitable for early-career professionals. Some experience with machine learning projects, preferably in Python, reflecting hands-on skills. Familiarity with deep learning frameworks such as PyTorch or TensorFlow, essential for model implementation.

A globally recognized, multi-strategy hedge fund with over $40B in assets under management is seeking a mid-to-senior level AI Engineer to join a newly formed function within its data science and research technology organization.. 3-7 years of experience in quantitative development, AI engineering, ML infrastructure, or data science roles supporting front-office or research teams at a hedge fund, asset manager, or trading firm. Strong programming skills in Python (or similar), with experience in ML frameworks (e.g., PyTorch, TensorFlow) and data tooling (e.g., Airflow, Spark, dbt). Bonus: Experience with feature stores, vector databases, or LLM-based research tools. Software Engineer, Python - AI Training (Freelance, Remote) Software Engineer, Machine Learning (Multiple Levels) - Slack San Francisco, CA

Position Purpose: The Data Science Manager is responsible for leading a team of data scientists (individual contributors), ensuring that their efforts drive business profitability, increased efficiencies and improved customer experience.. Data Science Managers provide leadership, mentoring, and coaching to team members, along with supporting their development of business and technical skills.. Based on the specific data science team, this role would need to be Proficient in one or more data science specializations, such as optimization, computer vision, recommendation, search or NLP. As a Data Science Manager, you will provide executive summaries to all levels of the organization and leverage your business knowledge and network to identify opportunities to leverage data science solutions.. This role is expected to collaborate with other Data Science Managers across the organization for aligning strategies and effectively managing talent.. Physical Requirements: + Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about.

Lead Specialist, Deal Advisory & Strategy, Data Science Join to apply for the Lead Specialist, Deal Advisory & Strategy, Data Science role at KPMG US.. Develop repeatable data and analytic processes using tools like R, Python, Alteryx, Tableau, and SQL Server.. Qualifications: At least three years of recent experience with advanced analytics tools and programming languages (R, Python, Alteryx, SQL) and visualization platforms such as Tableau, Qlikview, PowerBI, or JavaScript.. Bachelor's degree required; a master's degree in a quantitative field (Statistics, Data Science, Mathematics, Economics) is strongly preferred.. Ability to quickly learn new data science and analytics tools as needed.

In this role, you will use a combination of machine learning, Simultaneous Localization and Mapping (SLAM), computer vision, and motion planning techniques to enable machines to perceive, learn, and navigate complex environments while avoiding people and obstacles.. Research and develop state-of-the-art machine learning, SLAM, perception, and motion planning algorithms to improve the autonomous navigation system.. Implement new localization, depth perception, computer vision, mission/behavior planning, SLAM, motion planning algorithms.. Write research papers in the field of computer vision, machine learning, SLAM, and/or motion planning.. Experience in deep neural network packages (e.g. TensorFlow, PyTorch) and other existing robotic and navigation libraries, tools, and robotic middleware (such as ROS).

Develops, trains, and optimizes machine learning and deep learning models by leveraging state-of-the-art algorithms, hyperparameter tuning, and advanced training techniques to address complex business challenges and improve decision-making processes.. Builds AI-driven applications and tools by integrating machine learning models, natural language processing, and computer vision into software solutions to enhance automation, personalization, and intelligent insights for users and stakeholders.. Strong proficiency in machine learning frameworks (TensorFlow, PyTorch, Scikit-Learn, etc. Experience working with cloud AI services (AWS SageMaker, Azure AI, Google Vertex AI).. Understanding of deep learning, NLP, computer vision, and other AI subfields.

Company Description Zenith is a full-service media agency with capabilities and expertise across all channels and disciplines.. Zenith is part of Publicis Media, the #1 media buying network in the Americas and #2 globally.. As “The ROI Agency,” Zenith’s expertise lies in driving real, tangible business outcomes, not just media metrics, that will have a measurable effect on our clients’ business.. Job Description What does Zenith Data Sciences do?. Familiarity with common advanced marketing analytics solutions such as Customer Segmentation, Marketing Mix Modeling (MMM), Multi-touch Attribution (MTA)

Inroads applies data, analytics, technology, research, and content development to co-create services and programs that are personalized, relevant, and engaging for the communities who rely on them.. Develop and deploy machine learning models, and data-driven tools that enhance predictive analytics capabilities and program outcomes. Ability to perform analyses that connect the dots for our client and team. Advanced understanding of a statistical programming language such as R or Python. Experience with Tableau, Snowflake, and dbt