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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.
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).
With a global presence in 40+ countries, Red Hat associates work flexibly across various work environments (in-office, office-flex, fully remote). Job Summary: Red Hat's Global Engineering team seeks an experienced data scientist to join the InstructLab team, contributing directly to their growing AI/ML (artificial intelligence and machine learning) product family. Experience with AI/ML platforms, tools, and frameworks (TensorFlow, PyTorch, LLaMA.cpp, Kubeflow). Experience with Kubernetes/OpenShift, containers, troubleshooting, and YAML. Experience with hardware accelerators (GPU, CUDA, ROCm).
Technical Leadership: Lead complex projects involving Databricks integration with cloud environments such as AWS, Azure, or GCP. Performance Optimization: Help customers optimize performance for large-scale data processing, streaming, and machine learning workflows on Databricks. Training and Mentorship: Guide customers and internal teams on best practices in data engineering, machine learning, and AI using Databricks. Big Data Tools: Strong experience with big data tools like Apache Spark, Hadoop, and Delta Lake. Certifications: Databricks certifications or cloud certifications (AWS Certified Solutions Architect, Microsoft Azure Solutions Architect Expert, etc
Low-Stress Environment: Manageable workloads for a stress-free workday. Stay up-to-date with the latest advancements in AI, natural language processing, and machine learning to improve prompt engineering techniques. Strong understanding of AI, machine learning, and natural language processing (NLP) concepts. Experience with AI prompt engineering or related fields (e.g., chatbot development, language model fine-tuning). Proficiency in programming languages such as Python, with a focus on AI-related libraries (e.g., TensorFlow, PyTorch, Hugging Face).
The Principal Scientist, Safety Data Science leads the development and deployment of medical safety data models into production. Research, develop, and validate analytical models using leading AI/ML techniques, including supervised and unsupervised learning, deep learning, GenAI and natural language processing (NLP).. Master’s or Doctorate degree in Data Science, Information Systems, Computer Science, Statistics, Mathematics, Bioinformatics or a related field is required.. Experience in cloud environments, specifically GCP services such as BigQuery, AI Platform, and Dataflow, is helpful.. Outstanding problem-solving abilities with attention to detail and rigor in model validation and evaluation
As a Founding Audio AI Research Engineer , you will drive our research roadmap—shaping strategy, leading model development, and working closely with researchers to deliver high-quality data. Partner with researchers across leading AI labs and organizations to shape our data roadmap for the next generation of speech models and applications. Ph. D. or Master’s degree in Computer Science, Machine Learning, Electrical Engineering, or a related field with a focus on speech or audio. Research-oriented software engineering skills, including fluency with technologies like PyTorch, TensorFlow, Scikit-learn and Pandas. Paid lunch and dinner in the office, every day through DoorDash.
We are a leading global software company dedicated to the world of computer aided design, 3D modeling and simulation— helping innovative global manufacturers design better products, faster!. You have a PhD degree in computer science, computer engineering, or a related field, with focus in Machine Learning and/or Artificial Intelligence. You are proficient in Python, PyTorch (or TensorFlow), have familiarity with distributed model training recipes and pipeline. You are familiar with Azure Machine Learning (or AWS SageMaker) and other cloud based solutions that can be used as part of an AI ecosystem. Working at Siemens Software means flexibility - Choosing between working at home and the office at other times is the norm here.
Apply statistical analysis, machine learning, and predictive modeling techniques to identify key business patterns and predict future outcomes. Collaborate with IT and data engineering teams to ensure seamless integration and accessibility of data tools and platforms across the organization. Bachelor’s degree in a related field (e.g., Business Administration, Data Science, Business Analytics, Economics, Statistics); Master’s degree or MBA preferred.. Extensive experience with data management and analytics platforms (e.g., Power BI, Tableau, SQL, Python, R, etc. Demonstrated strategic thinking, creative problem-solving, and organizational leadership skills
Serve as a strategic thought partner to Product, Engineering, and Enterprise Architecture leadership, identifying and framing high-value AI research initiatives. Mentor, hire, and develop top-tier AI talent, while fostering an inclusive, collaborative, and intellectually curious team environment. PhD or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Advanced proficiency with Python and key ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face). Experience with MLOps best practices and modern cloud platforms (AWS, Azure, etc
Hands-on experience with AI/ML frameworks (e.g., PyTorch, TensorFlow, Scikit-learn). Strong understanding and experience in application of Deep Learning models like ANNs and transformers.. Background or interest in Digital Design, SystemVerilog, or EDA tools (can be learned on the job). This position will be subject to U.S. export control requirements under the International Traffic in Arms Regulations (ITAR) and/or Export Administration Regulations (EAR). Working at Siemens Software means flexibility - Choosing between working at home and the office at other times is the norm here.
Adjunct Instructor - Data Science. The Department of Data Science (DS) at New Jersey Institute of Technology (NJIT) seeks candidates to fill Adjunct Professor positions.. NJIT has recently expanded its graduate programs to Jersey City, just across the Hudson River from the financial district of Lower Manhattan in New York City, where it serves the many working professionals in that region.. Candidates should demonstrate expert knowledge in one or more of the following areas: data management, machine learning, deep learning, artificial intelligence, data visualization, programming Python, programming in R, databases, and related topics, either through a record of teaching excellence or through industrial experience.. NJIT considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/training, key skills, internal peer equity, as well as, market and organizational considerations when extending an offer.
As a Machine Learning Scientist at Sesame, you are a research-oriented person with experience in NLP, Speech, and/or Computer Vision with a focus on deep learning.. Work across the ML stack, including model architectures, data curation, model evaluation, training & inference infrastructure, research, and experimentation.. Pick promising approaches from the literature to bet on, and create new approaches where necessary to achieve our unique goals.. Published papers in NLP, Speech, or Computer Vision involving large-scale deep learning.. Unlimited PTO and sick time
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.
Includes writing Python, following SDLC best practices, using Git, and creating data products in dbt.. Oversee the design, development, deployment, and maintenance of data products, including dashboards, reports, dbt models, and machine learning models.. Provide strategic direction and oversight for the development of our bespoke LLM-based Customer Support agent.. Data: dbt, Snowflake, PostgreSQL, Sigma, Redash. Special Leave for In Vitro Fertilisation (IVF) and other fertility treatments
As a Sr. Data Scientist, you will lead the delivery and deployment of machine learning models, supporting insightful and innovative predictive maintenance across our attractions (control systems).. Deploy and monitor models in production using MLOps tools such as Airflow, Kubeflow, Docker, Kubernetes, and leading cloud platforms.. Proven experience with cloud-based ML platforms (e.g., AWS SageMaker, GCP Vertex AI, Databricks).. Familiarity with data visualization and monitoring tools (e.g., Splunk, Plotly, Tableau).. Experience setting up CI/CD pipelines and using workflow orchestration tools like Airflow.
The School of Data Science at the University of Virginia (UVA) is assembling a diverse and world-class faculty with broad expertise in data science to foster and advance our research agenda and educational programs.. At the School of Data Science, tenured and tenure-track faculty develop internationally recognized research programs, successfully compete for external research funding, instruct classes (in-person and online), and advise and mentor undergraduate and graduate students.. Machine Learning and Analytics (e.g., predictive modeling, algorithm development, statistical methods, graph theory). Health data science (e.g., neuroscience, biomedicine, and genetics/genomics). Data security and democracy (e.g., ethics, social justice, and the impact of data on society)
They’re hiring a Machine Learning Manager who can lead a team to developing ML models for 3D virtual assets and to support user generated content.. This role will balance technical leadership and hands-on development, focusing on areas like deep learning, generative models, ML-powered rendering, and real-time graphics engines for gaming purposes.. or CUDA for ML-powered rendering. Familiarity with NLP/LLM trends. Stay current with advancements in ML, generative AI, and 3D rendering technologies to inform project direction
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).
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)