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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)
HireArt is helping TRI hire a Machine Learning Engineer - Human Behavior and Carbon Neutrality to develop and optimize models that personalize user experiences and power generative AI features within these platforms. In this role, you will design, develop, and deploy machine learning models to personalize user experiences in mobile/web apps while staying up to date with state-of-the-art AI/ML research and applying innovative techniques to improve personalization. We're looking for someone with 4+ years of experience in machine learning engineering or applied AI. Strong programming skills in Python and experience deploying generative AI/ML models in AWS is preferred. Design, develop, and deploy machine learning models, including recommendation algorithms and adaptive learning systems, to personalize user experiences in mobile/web apps. Strong programming skills in Python (preferred), TensorFlow, PyTorch, or Scikit-learn
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).
Lila Sciences is seeking experienced, creative, and talented Machine Learning Engineers (Open-Endedness) across Engineer, Senior Engineer, and Principal Engineer levels to join our team. Master’s or PhD degree in a quantitative field (e.g., Computer Science, Machine Learning, Statistics, Physics, Mathematics) or equivalent industry experience.. Strong background in deep learning frameworks (e.g., PyTorch, TensorFlow, JAX).. Experience with distributed computing platforms (AWS, GCP, Azure, or on-prem clusters).. Kubernetes and Docker experience for scalable, reproducible workflows
VideaHealth is a cutting-edge AI-powered solution for dentistry, developed by a team of seasoned leaders, engineers, AI scientists, and clinicians spun out of MIT. Our vision is to be the first company to diagnose a billion people globally. We are looking for a Machine Learning Engineering Manager to join our team and execute on ambitious milestones and influence our product direction. You will collaborate with company advisors from MIT and Harvard whose expertise spans machine learning, medical imaging, and getting products successfully through the FDA. We are looking for an individual with an exceptional Machine Learning background and a track record of proven delivery who is not shy to take on extensive responsibilities and lead the team through complex technical problems. 7+ years of hands-on development building deep learning and/or data pipelines. Publications or blog posts displaying excellent writing on data science or machine learning topics.
We are looking for a Senior AI/ML Engineering Manager to lead our team of hard-working machine learning and software engineers.. Proficiency in Python, SQL, and other AI/ML libraries.. Strong experience with machine learning frameworks such as SageMaker, TensorFlow, Pytorch.. Experience in Streamlit, Snowflake, or Kubernetes is a plus.. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).
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.
singhlabucsf.org) is seeking a highly motivated Junior/Assistant/Associate/Full Specialist to join our research program at the intersection of aging biology, genomics, and machine learning. We integrate cutting-edge single-cell RNA sequencing (scRNseq) and other multi-omics datasets with advanced machine learning techniques to decipher the intricate genomic changes that drive aging and age-related diseases. Collaborate with a dynamic team of researchers with multi-disciplinary expertise in genomics, bioinformatics, and aging biology. Contribute to a vibrant research community at UCSF, including the Bakar Aging Research Institute (BARI) and the Bakar Computational Health Sciences Institute (BCHSI). Proficiency in Python and relevant libraries for machine learning (e.g., scikit-learn, TensorFlow, PyTorch).
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.
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).
We are looking for a curious and innovative Machine Learning Engineer to explore, experiment and build AI driven solutions that analyze customer journey and go to market data. Research, prototype and experiment with a variety of AI/ML libraries, frameworks, and tools to identify the best approaches for analyzing go to market data.. 3+ years of experience in machine learning with hands on experience building and deploying ML models.. Master’s degree in Machine Learning or Computer Science (heavily focused on Machine Learning/Artificial Intelligence).. Familiarity with natural language processing (NLP)
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
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).
The Essential Skills Every Machine Learning Engineer Should Learn.. So what does it take to thrive as a machine learning engineer today?. Fluency with OOP principles like inheritance, encapsulation, and polymorphism enables cleaner system design and code reuse. Experience with tools like Apache Spark, Kafka, and Hadoop allows for pre-processing large datasets for model training and deployment. Dean, part of the nomadic human tribe, believes a boat anchored ashore is a tragedy, as it denies the boat its purpose.
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).
PhD in Computer Science, Machine Learning, Biomedical Engineering, or a related field. Proven ability to drive high-impact research as both a lead author and as a mentor or advisor demonstrated by top-tier publications (NeurIPS, ICML, CVPR, Nature Medicine). Extensive hands-on experience with modern deep learning frameworks (PyTorch, TensorFlow) and medical imaging libraries (MONAI, DICOM, ITK). Deep expertise in transformer architectures, self-supervised learning, multi-modal fusion, and foundation models. Experience with MLOps, cloud-based ML pipelines, and model deployment in production environments (AWS/GCP/Azure)
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.
The Department of Mathematics at Embry-Riddle Aeronautical University in Prescott is seeking a full-time faculty member to fill an Assistant/Associate Professor of Data Science and Mathematics (Tenure-Track) position in the College of Arts and Sciences. We welcome applications from all areas of data science and mathematics and from individuals eager to contribute to our department's commitment to excellence in teaching and scholarly activities within our growing faculty team of seventeen members that offers the Data Science, Simulation Science, Games and Animation, and Math Minor degrees. At 5000 feet above sea level, it boasts a mild climate, clean air, pristine wilderness areas, and nearby national forests. Preference will be given to candidates whose research aligns closely with our data science program and who can demonstrate hands-on experience with programming in Python and R, as well as experience with SQL, data mining, predictive modeling, large language models, machine learning, and big data. Requirements for Appointment at the Associate Level : For appointment at the Associate Professor level, candidates must have tenure at a previous institution, a distinguished record of research, demonstrated teaching excellence, substantial experience in mentorship, and the potential or promise to work on funded research.
It serves as a subject matter expert and executive to drive, develop, contribute to, facilitate, support and ensure alignment on artificial intelligence strategy and governance across all cross-functional areas and supporting operating units within WRBC. This role plays a critical part in contributing to and coordinating efforts to operationalize a vision for artificial intelligence. Cross-Functional Collaboration:Work closely with various departments including Data & Analytics (DNA), Audit, HR, EPMO (Enterprise Project Management Office), Legal & Compliance, Procurement, BTS (Business Technology Services) & Infrastructure, and Information Security where AI strategy and operational needs intersect.. Work with BTS and DNA to provide workspace and tools necessary to implement strategy.. Collaborate with DNA, Legal & Compliance, BTS for AI model governance and related data governance.. Master’s/Bachelor’s degree in a technical related field such as Artificial Intelligence, Data Science, Machine Learning, Engineering, Computer Science, Mathematics, Statistics
Top Skils Machine Learning & Data Science Expertise: You have proven experience in designing, building, and deploying ML, NLP, and Generative AI models in production environments.. Requirements: Advanced Engineering degree in Computer Science, Artificial Intelligence, Data Science, or a related field.. Deep knowledge of Gen AI, Agentic AI, Machine learning, Deep Learning, Data science, Data pipelines and MLOps.. Experience of building autonomous/agentic AI systems (e.g., multi-agent frameworks, self-optimizing systems, or LLM-driven decision engines).. Proficiency in cloud platforms for AI architecture: AWS Bedrock, AWS SageMaker with a deep understanding of their AI service offerings.