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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
At Lilly, we unite caring with discovery to make life better for people around the world. Strong experience with machine learning algorithms, statistical modeling, and predictive analytics. Expertise in programming languages such as Python, R, SQL, and familiarity with big data technologies like Hadoop, Spark, and cloud platforms (e.g., AWS, GCP, Azure). Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. Our current groups include : Africa, Middle East, Central Asia Network, Black Employees at Lilly, Chinese Culture Network, Japanese International Leadership Network (JILN), Lilly India Network, Organization of Latinx at Lilly (OLA), PRIDE (LGBTQ+ Allies), Veterans Leadership Network (VLN), Women's Initiative for Leading at Lilly (WILL), enAble (for people with disabilities).
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
You'll work hands-on with tools like Python, R, and MATLAB, and you'll also oversee external technical partners as needed.. Experience with machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).. Experience setting up computing environments (Kubernetes, ZFS, Docker, license management, etc. Familiarity with big data tools (AWS, Snowflake, Azure Data Lake).. Familiarity with SolidWorks, ANSYS, GT Suite, or similar simulation/modeling software.
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.
The Chief Data Architect is responsible for defining a Big Data implementation framework; translating mission needs into Big Data system, analytic, and visualization tools requirements; and working with multi-disciplinary teams to design, guide engineering solutions, and then explore, examine, and visualize data to extract knowledge and insights from large and complex collections of digital data.. Additionally, the Big Data and Innovation Support Lead is responsible for the design, development, test, deployment, and use of associated advanced analytic and data science tools including data visualization, link analysis, correlation, sophisticated analytics programs, machine learning, and statistical methods to prepare data for use in predictive and prescriptive modeling.. Experience working with ETL tools such as Informatica, Talend.. Experience in the research and development of applications/services in disciplines such as Natural Language Processing, Machine Learning, Conceptual Modeling, Statistical Analysis, Predictive Modeling, and Hypothesis testing.. We are seeking a Chief Data Architect to join our team supporting ODNI HALO. TekSynap is a fast-growing high-tech company that understands both the pace of technology today and the need to have a comprehensive well-planned information management environment."
Collaborate Across Functions: Work hand-in-hand with leaders across Engineering, Product Management, and Data Science to amplify the impact of AI/ML across F5 products.. Hands-on experience with modern ML frameworks like PyTorch, TensorFlow, and hardware acceleration platforms (CUDA, ROCm, etc. End-to-End Knowledge: Expertise in machine learning models, SaaS products, observability architecture, and production-scale cloud computing deployments, particularly in Kubernetes environments.. Vice President, Scientific Data Strategy. Machine Learning Software Engineering Manager
The GMDM Team is responsible for establishing and executing data management strategy and data governance for GM. The team works closely with other groups within GM, other lines of business and Enterprise functions.. The GM Data Incident Management team within GMDM is accountable for remediation of data incidents concerning consumption of GM Data. The team triages, prioritizes and remediates GM data incidents, working closely with other groups within GM and other lines of business, including Technology, support partners (in particular Market Risk and Counterparty Credit Risk) and Enterprise functions at all levels.. Strong SQL skills, with experience in relational databases (PostgreSQL, SQL Server, Oracle) and NoSQL databases.. Knowledge of the various functions within GM trading organization and other functions interacting with GM, such as Operations, Market Risk, Counterparty Credit Risk Finance.. Knowledge of big data frameworks (Hadoop, Spark, Kafka).
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
We are seeking an exceptional Founding AI Research Engineer to build our LLM business intelligence evaluation frameworks, and stay at the forefront of AI research, design and execute experiments to evaluate autonomous agents, and develop innovative methodologies to enhance agent performance and capabilities. Design business intelligence LLM evaluation framework from scratch. Continuously evaluate, monitor, review, and synthesize cutting-edge research in artificial intelligence, autonomous agents, and machine learning. Bachelor's/MSc/PhD degree in Computer Science, Engineering, AI, Machine Learning, or a closely related technical field.. Experience in building LLM evaluation for business intelligence use cases and for natural language to SQL/NoSQL.
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)
We are seeking an Associate Principal Data Scientist—a highly experienced and technically deep individual contributor who leads through influence, owns high-impact initiatives, and drives scientific excellence across experimentation and modeling. 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).
As part of our team, you'll help advance state-of-the-art model capabilities by contributing to core systems, infrastructure, and research.. By applying to this U.S. Mountain View, CA OR Redmond, WA position, you are required to be local to the San Francisco area OR Seattle area and in office 3 days a week.. Bachelor's Degree in Computer Science, Software Engineering, Computer Engineering, Machine Learning, Mathematics, or related STEM fields and 4+ years of experience in coding in languages including, but not limited to, C, C. C#, Rust, Java, or Python. Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $117,200 - $229,200 per year.
Boson AI is an early-stage startup building large language tools for everyone to use.. Our founders (Alex Smola,Mu Li), and a team of Deep Learning, Optimization, NLP, AutoML and Statistics scientists and engineers are working on high quality generative AI models for language and beyond.. The ideal candidate will possess a strong background in machine learning, and have motivations for developing state-of-the-art models towards AGI. Proficiency in at least one deep learning framework, such as PyTorch or JAX. Experience in document understanding (e.g., layout analysis, structured data extraction, OCR).
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.
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
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)
SimIS is currently recruiting for a Data Scientist/Artificial Intelligence (AI) Engineer to design and develop integration architectures for AI solutions within NATO’s wargaming and digital infrastructures.. The role involves advancing NATO’s digital transformation through data exploitation and AI, enabling faster, data-driven decision-making and operational efficiency to meet the challenges of Multi-Domain Operations (MDO).. Contributing to AI integration in NATO’s warfare development efforts and collaborating with wargaming experts.. Master’s Degree or higher in AI/ML/Data Science; BS with significant data engineering experience considered.. Proficiency in AI and machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
We're seeking a Senior Data Scientist to provide strategic insights using advanced analytics, predictive modeling, and data-driven solutions.. Domain experience in Ad Tech, fraud detection, anomaly detection, or causal AI are highly desirable.. Proficiency with Python, SQL, Spark, Bazel, CLI (Bash/Zsh).. Expertise in Spark, Presto, Airflow, Docker, Kafka, Jupyter.. Domain expertise in Ad Tech, Fraud Detection, Anomaly Detection, or Causal AI (strongly preferred).
Svitla Systems’ global mission is to build a business that contributes to the well-being of our partners, personnel, and their families, improves our communities, and makes a lasting difference in the world.. Headquartered in California, the company’s mission is to enhance supply chain resilience, sustainability, and operational efficiency for manufacturers and enterprises across various sectors, including food, beauty, consumer packaged goods, electronics, aerospace, and construction.. The platform includes a digital twin engine that simulates both routine operations and shock scenarios (such as supply chain disruptions, commodity price spikes, and geopolitical events), allowing businesses to proactively test and compare the impact of different decisions on key business outcomes.. The solution integrates hundreds of external signals, including macroeconomic, industry-specific, and market data, into its models, enriching AI-driven recommendations with real-world context.. Svitla Systems’ global mission is to build a business that contributes to the well-being of our partners, personnel and their families, improves our communities, and makes a lasting difference in the world.