Data Science & Machine Learning Jobs

The Engineer will work on cutting-edge projects that require innovative thinking and a deep understanding of AI, robotics and drone technologies. System Integration: Integrate AI algorithms with drone hardware and software systems, ensuring seamless operation and communication within the swarm. Research and Innovation: Stay current with the latest advancements in AI, swarm robotics and multi-agent systems and apply new techniques to enhance the capabilities of our drone swarms. Experience with machine learning frameworks and libraries such as TensorFlow, TensorFlow Lite, TensorRT, PyTorch, PyTorch Mobile, or scikit-learn. Familiarity with edge computing platforms and hardware accelerators (e.g., NVIDIA Jetson, Google Coral, ARM Cortex), with focus on NVIDIA Jetson Orin.

This company specializes in developing generative AI models for synthetic biology, focusing on designing and reprogramming biological systems, including gene editing technologies to enable treatments for complex genetic diseases.. Expertise in generative modeling: The ideal candidate has a proven track record in machine learning, with experience leading or contributing to high-profile projects, as evidenced by widely used open-source libraries, major product launches, or impactful publications (e.g., NeurIPS, ICML, ICLR, or Nature).. Data engineering capabilities: The candidate is experienced in building ML data pipelines for training and evaluating deep learning models, including raw data analysis, dataset management, and scalable pipeline construction.. Experience in computational biology or protein design: Experience with ML-driven projects in biology is advantageous.. Natural science background: Academic training in fields like physics, biology, or chemistry is a plus.

The Role: VP, Data Science & AI Engineering.. As VP, Data Science & AI Engineering, you will drive and execute the vision of how AI powers our product by embedding AI at the core of our product experience. You will partner closely with product, engineering, GTM, and executive leadership to define and execute the roadmap for AI-native capabilities, predictive modeling, and real-time intelligence — all underpinned by scalable, reliable ML infrastructure. Lead the conceptualization, development, and deployment of scalable AI products, with a strong emphasis on generative AI (GNI), NLP, agentic workflow, and customer-facing intelligence – from problem definition to deployment. Technical knowledge in modern ML toolkits, MLOps platforms, and cloud-based data architectures (e.g., AWS, Databricks, Kubernetes, etc

We are seeking an experienced data science individual contributor to enable deep insights and capabilities to our clients through advanced analytics and machine learning techniques (e.g. predictive modeling, segmentation, etc).. Perform hands-on modeling and complex analyses using Python, SQL and/or R. Run optimization and simulation scenarios to help provide the marketing investment and allocation recommendations to Marketing leadership and CMO. 6+ years of industry experience in data science, measurement, marketing strategy & analytics.. Proficient coding skills (SQL/Python/R) and database knowledge.

This role requires a deep understanding of AI agentic programming, machine learning algorithms, natural language processing (NLP), computer vision, AWS and GCP cloud technologies, and MLOps practices. Lead the design and implementation of AI/ML solutions on AWS Bedrock and Google Vertex AI, including model selection, training, optimization, and deployment. Demonstrate deep understanding and proficiency in utilizing AWS Bedrock services (e.g., Titan FMs, foundation models) and Google Vertex AI services (e.g., Vertex AI Workbench, pre-trained APIs, custom training, MLOps tools) for various product initiatives. Develop and optimize high-performance machine learning models using Python and relevant libraries (e.g., TensorFlow, PyTorch, spaCy) for predictive analytics and NLP. Utilize AWS services (e.g., EC2, S3, Lambda, SageMaker) and GCP services (e.g., Compute Engine, Cloud Storage, BigQuery, Vertex AI) to build and manage scalable and cost-effective cloud infrastructure for AI/ML workloads.

Labcorp Genetics (formerly Invitae) is dedicated to bringing comprehensive genetic information into mainstream medicine to improve healthcare for billions of people!. We have an opening on our team for a Senior Lead Machine Learning Infrastructure Engineer.. Enhance and improve our computational infrastructure for machine learning, focusing on performance, scalability, maintainability, and resource optimization.. Proficient in cloud computing infrastructure and tools (for example Kubernetes, Snowflake, etc.. Proficient in ML training and validation frameworks, like: Tensorflow, PyTorch.

What we're looking for As a customer facing Machine Learning Solutions Engineer, you will work closely with our go-to-market teams as the technical subject matter expert. Proficiency in Python and experience with ML frameworks such as PyTorch or TensorFlow. Autoimmune disorder, for example, lupus, fibromyalgia, rheumatoid arthritis, HIV/AIDS. Neurodivergence, for example, attention-deficit/hyperactivity disorder (ADHD), autism spectrum disorder, dyslexia, dyspraxia, other learning disabilities.. Traumatic brain injury

Forward Deployed Machine Learning Engineer.. Their proprietary machine learning models analyze geospatial and operational data to predict mineral distributions with unprecedented accuracy—reducing waste, cutting costs, and maximizing profitability for mining operations. Deploy custom deep learning models (PyTorch) to optimize mineral discovery and extraction for client sites. Strong Python skills and experience with spatial/temporal data (e.g., geospatial, sensor, or time-series data). Flexibility: Fully remote with async-first culture.

As part of the AI/ML organization, focusing on supporting applications of AI to video, the Machine Learning Engineer – Services group powers infrastructure and backend services behind production workflows.. Build evaluation frameworks to assess LLM performance, hallucination frequency, and structured response accuracy. Experience deploying and managing open-source model servers (e.g., Triton, TorchServe, Ray Serve). Deep understanding of ML domains including NLP, RecSys, and reinforcement learning. If you’re a qualified candidate with an arrest or conviction record, please know that your application will be considered in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

At Eisai, satisfying unmet medical needs and increasing the benefits healthcare provides to patients, their families, and caregivers is Eisai's human health care (hhc) mission.. The Data Operations Group at Eisai, Inc. is looking for an Director – Data Scientist/Programmer to drive drug development through predictive modeling of disease and drug response.. Natural Language Processing (NLP) & Large Language Models (LLM): Hands-on expertise in applying NLP techniques and LLMs to process and analyze unstructured data, generating insightful infographics and data-driven narratives.. Eisai is an equal opportunity employer and as such, is committed in policy and in practice to recruit, hire, train, and promote in all job qualifications without regard to race, color, religion, gender, age, national origin, citizenship status, marital status, sexual orientation, gender identity, disability or veteran status.. Similarly, considering the need for reasonable accommodations, Eisai prohibits discrimination against persons because of disability, including disabled veterans.

We are seeking a Machine Learning Engineer to develop advanced time series forecasting models that support data-driven decision-making in financial markets.. Leverage state-of-the-art machine learning techniques such as LSTM (Long Short-Term Memory) networks, Temporal Fusion Transformers (TFT) Neural ODEs , and DeepAR to enhance forecasting performance.. 3+ years of experience in machine learning or a similar role, with a strong focus on time series forecasting.. Proficiency in programming languages such as Python R , or Julia , and experience with machine learning libraries like TensorFlow PyTorch , and GluonTS. A Master's degree or PhD in Computer Science, Mathematics, Statistics, or a related field, with a focus on machine learning.

Domain expertise in one or more relevant domains (e.g., virology, molecular biology, computational biology, biosecurity, cybersecurity, artificial intelligence, national security).. Proficiency in Python or other popular programming languages and machine learning frameworks (e.g. PyTorch, TensorFlow).. This can include 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, or International Relations. A degree in Virology, Molecular Biology, Computational Biology, Biology, Biostatistics, Biosecurity, Biodefense, or similar is preferred. Fully remote work will also be considered.

This advanced-level scientific position requires exceptional expertise in deep learning, large language models, and AI agent architectures to help build our industry-leading Agentic AI portfolio (models, systems, and applications).. Our mission is to provide a delightful experience to customers by pushing the envelope in NLP/NLU, AI-assisted code development, reasoning and planning with LLMs, LLM training and fine-tuning, and Applied Machine Learning within professional service contexts.. As a principal scientist, you will be the bridge between scientific advancement, business strategy, and customer needs.. Drive breakthroughs in areas such as LLM fine-tuning, reinforcement learning from human feedback, and agent alignment. Experience in any of the following areas: AI (NLP or multi-modality models), Deep Learning, LLM model training, graph learning, static code analysis, software engineering.

Extensive experience with Palantir Foundry and its applications. Provide technical support and troubleshooting for Palantir software implementations. Experience in data engineering/ETL ecosystems with Palantir Foundry, Cognizant, Python, PySpark and Java. Familiarity with machine learning algorithms and libraries (e.g., scikit-learn , TensorFlow , PyTorch ).. Certifications such as Foundry Application Developer Foundry Data Analyst, Foundry Data Engineer a plus

Researches, designs, builds, and implements analytical solutions using programming, data mining, statistics, ML, and visualization techniques.. Constructs analytic datasets using SQL and Databricks, builds and deploys ML models, and communicates findings through presentations and dashboards.. Demonstrated experience in statistical modeling, machine learning, and data mining.. Manager, Applied Science, Amazon Advertising Los Angeles Metropolitan Area. Research Director or Senior Director- Future Opportunities EY-Parthenon - AI Business Solutions - Director Senior Staff Engineering Manager of Financial Data and Analytics Physical AI Engineering & Strategy - Senior Manager - Consulting - Open Location Westlake Village, CA $142,600 - $325,800 1 week ago

Consensus has been featured in The Wall Street Journal, The Atlantic, The New York Times, Nature, and a16z as one of the most exciting new AI search engines in the world.. Contribute to general full stack web development supporting search, user-facing features, and other team needs. 3+ years of search relevance and NLP experience, including experience with semantic search, learning-to-rank, and modern NLP techniques. NLP and ML libraries, like XGBoost, NLTK, spaCy, and scikit-learn. Distributed data processing frameworks like Spark, Dataflow, Flink, or Dask

Responsibilities Model Development: Develop, train, and optimize machine learning (ML) and deep learning (DL) models for various use cases.. Deployment: Deploy AI/ML models into production using tools and frameworks like TensorFlow, PyTorch, or similar technologies.. Experience with AI frameworks like TensorFlow , PyTorch , or Scikit-learn.. Understanding of Natural Language Processing (NLP) , Computer Vision , or other AI domains.. Experience with cloud platforms (AWS, Google Cloud, or Azure) for deploying AI models.

As the Lead Data Scientist on the Data CoE team, you’ll have the opportunity to work on a wide variety of high impact projects related to supply chain, procurement and inventory management within Retail and Restaurant sector.. Or, 8+ years of experience as a data scientist in eCommerce, Supply Chain or Logistics.. Experience applying descriptive statistics, machine learning, predictive modeling, and visualization techniques to solve challenging business problems.. Experience with cloud platforms (e.g., AWS, GCP, Azure) and model development and deployment technologies (e.g., Databricks).. Get notified about new Data Science Manager jobs in Killeen-Temple Area.

Deep understanding of machine learning algorithms, including deep learning, gradient boosting, and random forests. Working understanding of the business risks associated with applying LLM in a business. - Modern family benefits, including adoption and surrogacy. We assist corporations in better understanding their markets and preventing bribery and corruption within their supply chains.. We partner with leading global associations and customers to help collect evidence against war criminals and provide tools to combat human trafficking.

Our client, a San Francisco-based ecommerce startup led by the founder of multiple highly-successful Bay Area technology companies, is seeking an AI Engineer to join their rapidly growing team.. They are seeking an engineer to own key learning systems that directly impact the user experience and revenue.. 5+ years of experience in machine learning or data science roles. Strong background in ML algorithms, modeling, and deployment practices. Experience with Python, and ML tools such as PyTorch, TensorFlow, XGBoost, or scikit-learn