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Our projects range from data collection to advanced deep learning, leveraging tools like Python, Spark, Java, and ArcGIS. Active Top Secret clearance with an ability to obtain SCI access and willingness to obtain CI Polygraph.. Must have experience with Big Data Technologies: Spark, Elasticsearch, Hadoop.. At least 5 years experience with with both Full-stack web frameworks (Django, Python, Flask) and Front-End frameworks (React, Angular, Typescript).. Cloud computing environments: Openstack, AWS, Azure
Overall 1st line governance for model risk management.. Collaborate with 2nd Model Risk Management team to build efficient validation and monitoring processes while also building strong relationships across 1st and 2nd line.. Hands-on experience and solid understanding of machine learning and deep learning methods (GBM, Neural Net, etc.. Extensive experience with machine learning and deep learning toolkits (e.g.: TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas).. We do not discriminate on the basis of race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), gender, gender identity, gender expression, sexual orientation, age, marital status, veteran status, disability status, political views or activity, or other applicable legally protected characteristics.
As a Technical Leader , you will drive end-to-end ML solutions, designing and deploying transformer-based models, building data pipelines, optimizing ML infrastructure, and developing AI-powered systems that solve real-life industry challenges.. Develop and fine-tune transformer-based models for diverse AI challenges. Experience in Python or Go and ML frameworks (PyTorch, TensorFlow). Strong understanding of ML fundamentals, classic ML algorithms, modern transformer-based models and deep learning architectures. Background in AI security, risk detection, or fraud detection (a plus, but not required)
In this role, you will lead end-to-end AI strategy, shape the applied science roadmap, and develop next-generation models in NLP, deep learning, and large-scale AI systems.. Drive High-Impact Research – Conduct advanced research in NLP, RL, LLMs, and deep learning, publishing in top-tier conferences while applying findings to real-world production systems.. Academic & Industry Recognition: Masters + At least two peer-reviewed publications in deep learning, NLP, or a related AI domain or a PhD in Computer Science, Machine Learning, Statistics, or a related quantitative field.. Programming & Frameworks: Proficiency in Python and deep learning frameworks (TensorFlow, PyTorch, LangChain, Llama Index).. GREAT TO HAVE Industry Impact: Publications at top-tier ML/NLP conferences (NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL, AAAI).
In this role, you will lead end-to-end AI strategy, shape the applied science roadmap, and develop next-generation models in NLP, deep learning, and large-scale AI systems.. Drive High-Impact Research – Conduct advanced research in NLP, RL, LLMs, and deep learning, publishing in top-tier conferences while applying findings to real-world production systems.. Academic & Industry Recognition: Masters + At least two peer-reviewed publications in deep learning, NLP, or a related AI domain or a PhD in Computer Science, Machine Learning, Statistics, or a related quantitative field.. Programming & Frameworks: Proficiency in Python and deep learning frameworks (TensorFlow, PyTorch, LangChain, Llama Index).. Industry Impact: Publications at top-tier ML/NLP conferences (NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL, AAAI).
As a Principal Scientist Machine Learning, you will be responsible for developing the frameworks and core models that propel our antibody design process forward.. Deliver robust, production-quality models that will drive the next generation of antibody design, advancing both engineering and de novo. A PhD in biochemistry, biophysics, computational chemistry, computational biology, computer science, machine learning, or a related discipline solving biological or chemical problems using computational approaches.. Strong background and demonstrated experience in machine learning/deep learning, modeling, simulation, and design, particularly in sequence and structure-based antibody design.. Demonstrated experience in the Python programming language in addition to standard machine learning tools (PyTorch, TensorFlow, JAX, PyG, PyMC, etc).
Learn and Lead: Stay ahead of the curve by engaging with the latest developments in machine learning and AI. Take part in code reviews, share knowledge, and lead by example to maintain high-quality engineering practices.. Demonstrated experience in deep learning and transformers models. Proficiency in frameworks like PyTorch or Tensorflow. Are familiar with methods of training and fine-tuning large language models, such as distillation, supervised fine-tuning, and policy optimization. OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity.
Atlas Air is looking for an exceptional Senior Director of Data Science & Analytics to lead our data-driven transformation and unlock actionable insights that will drive business growth, operational excellence, and fuel Atlas Air's competitive advantage in the outsourced aviation industry.. Advanced degree (MS/PhD) in Computer Science, Data Science, Statistics, Mathematics, Economics, or related quantitative field.. Strong proficiency in Python, R, SQL, and modern data science tools and frameworks.. Strong knowledge of modern data stack technologies (e.g., Snowflake, Databricks, Airflow, dbt, etc. Experience with cloud platforms (AWS, GCP, Azure) and big data technologies (Spark, Hadoop, etc
As a Research Scientist on our team, you'll work on research problems that can improve vision, multimodal models, contribute to open foundation models, and experiment with mobile robots in the real world. We seek applicants interested in computer vision, NLP, machine learning, robotics, agents, and embodied AI. International candidates are welcome. Our research topics include Embodied AI, Robotics, LLMs, Web Agents, Foundation models, Visual reasoning, Representation learning, Image/video generation and editing, Efficient deep learning, and more. Qualifications include a PhD in relevant areas, a strong publication record, experience with deep learning frameworks (PyTorch, TensorFlow, Jax), and contributions to open-source libraries. Voluntary insurance options, HSA, FSA, 401(k), and stipends for commuting, internet, fitness, and wellbeing.
Lead and participate in cutting-edge research and application in artificial intelligence, with a strong focus on Natural Language Processing (NLP), Large Language Models (LLMs), and Transformer architectures. Proficiency in Python and deep experience with ML/Deep Learning frameworks (e.g., TensorFlow, PyTorch, JAX, HuggingFace, LangChain). Demonstrable research experience, evidenced by contributions to projects, and ideally through publications in relevant ML/NLP venues (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP). eCommerce Full Stack Developer (React / Shopify) - On SiteJr. Software Development Engineer - Sunnyvale, CANew Grads 2025 - General Software Engineer.. Software Engineer - New Grad (Fall 2025 Graduation)
Machine Learning Engineer - ML Ops. Our team has experience building billion-dollar companies and includes veterans from Oracle, Palantir, Apple, Amazon, and Microsoft. We're funded by Andreessen Horowitz, Tiger Global, Dell, Bloomberg, and Ram Sriram (first investor in Google). Experienced with data engineering technologies, such as Airflow, Spark, Trino, Flink, or BigQuery. Familiarity with Python and PyTorch, Tensorflow, or JAX.
Machine Learning Engineer for Game Technology United States, San Mateo, CA. PlayStation isn’t just the Best Place to Play — it’s also the Best Place to Work. Today, we’re recognized as a global leader in entertainment, producing The PlayStation family of products and services including PlayStation 5, PlayStation 4, PlayStation VR, PlayStation Plus, acclaimed PlayStation software titles from PlayStation Studios, and more. Experienced Deep Learning Engineer for Game Technology We are seeking an experienced machine learning engineer with a solid understanding of low-level systems programming. This role may suit an experienced embedded or game industry programmer passionate about Machine Learning, or an accomplished Machine Learning/Vision programmer with a good understanding of computer architecture and performance. What we're looking for Extensive experience with modern Deep Learning frameworks (PyTorch/TensorFlow): decision-making on data and architectures, pipeline development, and deployment.
In this role, you will lead end-to-end AI strategy, shape the applied science roadmap, and develop next-generation models in NLP, deep learning, and large-scale AI systems. Drive High-Impact Research – Conduct advanced research in NLP, RL, LLMs, and deep learning, publishing in top-tier conferences while applying findings to real-world production systems. Academic & Industry Recognition: Masters + At least two peer-reviewed publications in deep learning, NLP, or a related AI domain or a PhD in Computer Science, Machine Learning, Statistics, or a related quantitative field. Programming & Frameworks: Proficiency in Python and deep learning frameworks (TensorFlow, PyTorch, LangChain, Llama Index). Industry Impact: Publications at top-tier ML/NLP conferences (NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL, AAAI).
Design, build, and deploy production-ready machine learning models. MS or PhD in Computer Science, Machine Learning, or related field. Strong programming skills in Python and experience with ML frameworks (PyTorch, TensorFlow). Knowledge of cloud platforms (AWS, GCP, or Azure) for ML workflows. Experience with vector databases and retrieval-augmented generation
Software Guidance & Assistance, Inc., (SGA), is searching for a ML/AI Engineer for a direct placement assignment with one of our premier financial services clients in Tampa, FL. Responsibilities : You will drive, design, PoC critical core components while acting as a trusted advisor to the senior management team and lead architect.. You will make clear, simple and technically sound decisions and champion high standards of coding and architecture best practices.. You will you utilize technical expertise to lead major projects, and you will contribute to product strategy and work closely with the product owner.
Schneider Electric is looking for a PhD Machine Learning & Artificial Intelligence Engineer Intern.. A self-driven PhD student actively pursuing a degree in Machine LearningIdeal candidate will have a strong background in Computer Science with strong mathematical skills and experience developing machine learning models.. You must submit an online application to be considered for any position with us.. We are looking for IMPACT Makers; exceptional people who turn sustainability ambitions into actions at the intersection of automation, electrification, and digitization.. Our Trust Charter is our Code of Conduct and demonstrates our commitment to ethics, safety, sustainability, quality and cybersecurity, underpinning every aspect of our business and our willingness to behave and respond respectfully and in good faith to all our stakeholders.
Distilr at Compass Digital is seeking an experienced and highly skilled Manager, Data Science to join our team and lead the development of cutting-edge AI/ML solutions to help our partners make smarter business decisions.. The successful candidate will:Now, if you were to come onboard as our Manager, Data Science, we'd ask you to do the following for us: Lead the design and implementation of end-to-end ML pipelines for the development of a state-of-the-art supplier analytics platform Collaborate with cross-functional teams to identify business needs and develop innovative data-driven solutions that drive measurable impact.. Stay updated with industry trends, emerging technologies, and best practices in machine learning, AI, LLMs, and data science.. Experience with cloud-based data platforms (AWS, GCP preferred) and related services (Airflow, Sagemaker, Vertex AI).. Proficiency with Python libraries like TensorFlow, PyTorch, scikit-learn.
Job description Infosys is seeking Data science AI/ML Architect Consultant.. Candidate will analyze raw data: assessing quality, cleansing, structuring for downstream processing.. Candidate will be responsible for use-case derivation and solution creation from structured/unstructured data Candidate will be responsible for Storytelling, Business & stakeholder communication and Documentation Required Qualifications: Candidate must be located within commuting distance of Phoenix, AZ or Richardson, TX or be willing to relocate to the area.. Preferred Qualifications:Knowledge of Cloud Implementation – Azure, Kubernetes/Docker Experience in developing & deploying Microservices, Data Modelling, Database Design, Tuning Design Parameters, Normalization, Solving Performance bottlenecksExperience in Middleware, Open-Source tools & technologiesExcellent problem-solving skills and attention to detail.. Infosys provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability.
A postdoctoral researcher position is available at UNC under Prof. Mohit Bansal in the UNC-NLP Lab. The focus of this NLP+ML postdoc position will include, but is not limited to, multimodal+embodied semantics, human-like language generation and Q&A/dialogue, and interpretable and generalizable deep learning.. Minimum Education and Experience Requirements Applicants should have (or expect to receive before the start of the position) a PhD in Computer Science or EE/ECE on a topic in machine learning applied to natural language processing, computer vision, or a related area.. Required Qualifications, Competencies, and Experience Strong publication record in NLP, ML, or related areas -Strong programming skills, including TensorFlow and/or PyTorch -Demonstrated strong communication, teamwork, and leadership skills.. Strong publication record in NLP, ML, or related areas -Strong programming skills, including TensorFlow and/or PyTorch -Demonstrated strong communication, teamwork, and leadership skills.. Preferred Qualifications, Competencies, and Experience Applicants should have (or expect to receive before the start of the position) a PhD in Computer Science or EE/ECE on a topic in machine learning applied to natural language processing, computer vision, or a related area.
Looking for a Sr. ML NLP Developer to join an Artificial Intelligence team.. ● Work on state of the art Machine Learning, Natural Language Processing and Gen AI projects.. 2 Y+ Experience with Machine Learning and Natural Language Processing. ● Experience with ML NLP & AI libraries.. ● Experience with Gen AI, Agentic AI , LLM training is a plus.