Data Science & Machine Learning Jobs

Minimum Qualifications: Bachelor's degree or equivalent related work or military experience 7 years of data science, operations research and/or software engineering experience in Artificial Intelligence and Machine Learning with a proven track record of building and deploying AI models. Preferred qualifications: Master’s degree or PhD, or equivalent experience in Data Science, Information Technology, Applied Mathematics, Engineering, Computer Science or related field. Prior experience leading technical engagements across data engineering, data science, AI, and Gen AI workstreams. Experience with delivering solutions on major cloud platforms, data science tools, and Gen AI technologies. Facilitates communication between executives, staff, management, vendors, and other technology resources within and outside of the organization.

7 years of data science, operations research and/or software engineering experience in Artificial Intelligence and Machine Learning with a proven track record of building and deploying AI models. Master’s degree or PhD, or equivalent experience in Data Science, Information Technology, Applied Mathematics, Engineering, Computer Science or related field. Prior experience leading technical engagements across data engineering, data science, AI, and Gen AI workstreams. Experience with delivering solutions on major cloud platforms, data science tools, and Gen AI technologies. Facilitates communication between executives, staff, management, vendors, and other technology resources within and outside of the organization.

The Senior Data Scientist independently develops statistical models that will enable future growth and profitability for our book of business through appropriate pricing and underwriting of risk.. Advanced skills and training in predictive modeling, data mining and other quantitative and research analytics (Non-Linear Regression Analysis, Multivariate Analysis, Bayesian Methods, Generalized Linear Models, Decision Trees, Non Parametric estimations, etc. Ability to apply various predictive modeling techniques to develop solutions to various real-world problems.. Exceptional programming ability in SAS, SQL, R or other programming languages.. The Plymouth Rock Company and its affiliated group of companies write and manage over $2 billion in personal and commercial auto and homeowner’s insurance throughout the Northeast and mid-Atlantic, where we have built an unparalleled reputation for service.

We seek a highly skilled Sr AI Engineer who will be instrumental in driving our next-generation AI initiatives, with a dual focus on large language models (LLMs) and robust NLP solutions. In this role, you will direct the research, strategy, design, roadmap, and deployment of AI and NLP products from development through production. Lead the research, strategy, design, roadmap, and end-to-end implementation of AI and NLP products, ensuring seamless integration from concept to deployment. Advanced proficiency in Python, particularly in object-oriented programming, API development (e.g., using Flask), and working with SQL required. Extensive experience with NLP frameworks and libraries such as SpaCy, Transformers, HuggingFace, LangChain, as well as familiarity with other tools (PyTorch, TensorFlow, scikit-learn, NLTK) and techniques including topic modeling, named entity recognition, and information retrieval required.

PETADATA is hiring an AI (Artificial Intelligence) Backend Developer.. Should have strong programming skills in Python and experience with backend frameworks such as Flask or Django.. Must have experience working with a relational database, such as PostgreSQL/ SQL Server.. Good knowledge of machine learning frameworks such as TensorFlow or PyTorch.. Experience with cloud computing platforms (e.g., AWS, Azure, Google Cloud Platform) for model deployment.

Reach & Scale: The products and platforms this group builds and operates delight millions of consumers every minute of every day – from Disney+ and Hulu, to ABC News and Entertainment, to ESPN and ESPN+, and much more. We are hiring a Senior Principal Machine Learning Engineer to shape the future of personalization and content recommendations across Disney+, Hulu, ABC, and ESPN. As one of the most senior technical leaders in our organization, you will set the direction for machine learning innovation at scale—guiding both long-term vision and near-term execution for products that impact hundreds of millions of users. Define and drive the long-term technical vision for personalization and recommendation systems across Disney+, Hulu, ABC, and ESPN—ensuring alignment with overarching product and business strategies. Strong proficiency in at least one of the following deep learning frameworks, tensorflow, pytorch. Production experience with developing content recommendation algorithms at scale and familiar with metadata management, data lineage, and principles of data governance.

Lead the deployment of AI solutions, such as predictive analytics for supply chain optimization, natural language processing (NLP) for customer insights, and robotic process automation (RPA) for operational efficiency.. Governance, Ethics & Compliance. Hands-on experience with AI/ML frameworks (e.g., TensorFlow, PyTorch) and cloud platforms (AWS, Azure, Google Cloud).. 8+ years of experience in AI, data science, or digital transformation, including 5+ years in a senior leadership role.. Extensive knowledge of machine learning, NLP, generative AI, and automation technologies.

Founded in 2021 by Jonathan Bush, co-founder and former CEO of athenahealth, Zus partners with HIEs and other data networks to aggregate patient clinical history and then translates that history into user-friendly information at the point of care.. As a Machine Learning Engineer within the Data Acquisition (DA) Team, you will play a critical role in bringing your ML expertise to Zus.. Machine Learning Engineer. Strong understanding of machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn).. Knowledge of natural language processing (NLP) techniques and libraries.

Genentech is seeking a highly motivated Senior AI Scientist to join the Deep Learning Theory and Algorithms (DELTA) lab within the BRAID (Biology Research | AI Development) department in Genentech Research and Early Development (gRED).. Our lab is dedicated to advancing AI research to support drug discovery and target discovery efforts, with a focus on large-scale foundation models in research biology.. We are committed to driving innovation through cutting-edge AI methods with real-world impact in the drug discovery field.. Excellent knowledge of the theory and practice of deep learning, as demonstrated in past projects and publication record at top-tier ML venues such as NeurIPS, ICML, ICLR, AISTATS, ACL, EMNLP, etc.. Excellent Python and PyTorch programming skills, with extensive knowledge of the best practices of software engineering, data engineering, and MLOps (e.g., familiar with code version control, high-performance compute infrastructures, and machine learning experiment monitoring workflows).

Our client portfolio is focused around mobility, IoT data, logs and transactions, and also includes larger actors such as NATO and national postal services. You have significantly contributed to an LLM training effort which became newsworthy (topped a Huggingface benchmark, best in class model, etc. You have spent at least 6 months working in a leading Machine Learning research center (e.g. at: Google Brain / Deepmind, Apple, Meta, Anthropic, Nvidia, MILA). A deep learning researcher , with a track record in Language Models and/or RL (candidates with a Vision or Robotics ML background are also welcome to apply). Experienced at hands-on experiments and model training (PyTorch, Jax, or Tensorflow).

Passionate about precision medicine and advancing the healthcare industry?. Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time.. Implement, refine, benchmark and optimize model architectures using deep learning frameworks such as PyTorch or TensorFlow.. Strong proficiency in Python and deep learning frameworks (PyTorch/TensorFlow) and model management libraries like HF Transformers.. Experience with distributed training frameworks and cloud computing platforms (for example, GCP, Azure).

Anduril's Tactical Reconnaissance and Strike Division (TRS) is responsible for design and development of Anduril's fleet of small warfighting and surveillance drones deployed around the world, including Ghost, Anvil, Altius, and Bolt. We work in close coordination with specialist teams like Perception, Autonomy, and Manufacturing to solve some of the hardest problems facing our customers.. Experience with Python development and deep learning frameworks such as PyTorch and TensorFlow. Experience in one or more of the following:Visual Odometry, SLAM, Multi-view Geometry, Structure from Motion, 3D Geometry, Discriminative Correlation Filters, Stereo, Neural 3D Reconstruction, RGB-D and LIDAR Sensor Fusion. Family Planning & Parenting Support: Fertility (eg, IVF, preservation), adoption, and gestational carrier coverage with additional benefits and resources to provide support from planning to parenting.. Mental Health Resources: We provide free mental health resources 24/7 including therapy, life coaching, and more.

We are seeking a driven and innovative candidate with expertise in computational chemistry/biochemistry and machine learning. PhD in Computational Chemistry, Machine Learning, Computational Biology, Bioinformatics, Computer Science, or a related field.. Proficiency in Python, SQL, and technologies like TensorFlow, PyTorch, CUDA, and Ray. We create and pioneer new markets for IBM, our partners and customers as exemplified in our ongoing quest to reach practical and large-scale quantum computing. At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain.

Plays a strong role in advancing neuroscience drug development programs using innovative data science and informatics approaches and pipelines. Research, expand, and validate analytical models using leading AI/ML techniques, including supervised and unsupervised learning, deep learning, and transformer models.. Experience in TensorFlow/PyTorch, scikit-learn and transformer workflows.. Extensive experience in integrating data from genetics, proteomics, single cell, transcriptomics, and molecular data to derive insights into indications and molecular mechanisms.. Knowledge of protein structure analysis, antibody biology, and therapeutic antibody design principles

Deep 6 AI is a fast-growing tech startup headquartered in Los Angeles, California looking for talented, dynamic team members who want to help shape our groundbreaking artificial intelligence platform.. Experience with modern AI/ML/NLP techniques, including models like BERT, and techniques like Retrieval-Augmented Generation (RAG), along with familiarity with tools, frameworks, and infrastructure like PyTorch, TensorFlow, and MLOps platforms.. Java (Kotlin), Python, TypeScript. Monitoring: OpenTelemetry, AWS X-Ray, Datadog, Pendo. Deep 6 AI welcomes remote work and has fully-remote teams throughout the country; we strive to create an environment where you can do your best work in the environment and location that is best suited for each individual.

Responsibilities: Develop Machine Learning (ML) and physics-based models for Earth systems applications where Machine Learning (ML) can bring hockey stick growth. Fetch and pre-process geospatial and multimodal data in a highly parallel environment. Experience with machine learning systems, algorithms, or applications such as: deep learning, computer vision,.. Experience with open-source tools such as git, TensorFlow, etc. US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions.

Located in the heart of Silicon Valley in Mountain View, CA, we are looking for an experienced machine learning engineer who is excited to apply ML to real-world problems and adapt LLMs to task oriented domain specific using techniques such as finetuning and reinforcement learning that will go into production.. Our products and portfolio are rapidly expanding, and we are excited to meet the challenges of scale, performance, efficiency, and reliability as we build the world's finest storytelling software.. 4+ years of experience in machine learning, deep learning, natural language processing, computer vision, and/or statistics 4+ years of experience in software development.. Develop and ship machine learning models and large language model applications to customers.. Measure the impact of models and work with product teams to design Artificial Intelligence (AI)-powered experiences.

Contribute to Organization’s thought leadership in the AI & Cloud domains with a deep understanding of open-source technologies (e.g., Kubernetes, OPEA) and partner technologies.. Collaborate on joint technical projects with global partners, including Google, Microsoft, AWS, NVIDIA, IBM, Red Hat, Intel, and Dell.. Technologies: Expertise in Public Cloud environments (AWS, Azure, Google Cloud).. AI Expertise: Advanced machine learning algorithms, GenAI models (e.g., GPT, BERT, DALL-E, GEMINI), NLP techniques.. Deep Learning Frameworks (TensorFlow, PyTorch)

(General Hire) Research Scientist Graduate - TikTok Recommendation - 2025 Start (PhD) Join to apply for the (General Hire) Research Scientist Graduate - TikTok Recommendation - 2025 Start (PhD) role at TikTok.. Responsibilities Conduct development and research on cutting-edge CV, NLP, multi-modality, LLM, generative modeling.. Experience in computer vision, NLP, or machine learning.. Proficiency with deep learning frameworks such as PyTorch, TensorFlow, MXNet, or Caffe.. TikTok values diversity and inclusivity.

Guide the team in designing, implementing, and validating novel machine learning models tailored to drug discovery challenges, including molecular property prediction, generative modeling, and protein-ligand interactions.. Experience with state-of-the-art ML frameworks (e.g., PyTorch, TensorFlow, JAX) and distributed computing environments.. Our team has created the industry's most advanced molecular AI platform called GEMS (Genesis Exploration of Molecular Space), to accelerate and optimize small molecule drug discovery and to enable the discovery of novel first-in-class and best-in-class small molecule drugs for challenging and/or undruggable targets.. In addition, Genesis has three AI platform collaborations across a range of therapeutic areas, with Gilead Sciences, Eli Lilly, and Genentech.. We raised a $200M series B in August 2023, and have raised over $300M in funding from top technology and biotech investors, including Andreessen Horowitz, Rock Springs Capital, T. Rowe Price, Fidelity, Radical Ventures, NVentures (NVIDIA's VC arm), BlackRock, and Menlo Ventures.