Duties: Conduct innovative research & development in audio including speech, music, and sound design (SFX) Generative AI; Collaborate with extraordinary researchers to bring research ideas to production; Develop and transfer novel technologies to Adobe products; Research and develop novel large-scale foundation models in Generative AI; Ability to convert a research idea/paper to code in Python
Requirements: Masters or Ph.D. in Computer Science, AI/ML or related fields; Excellent communication skills and a great teammate; Experience in state-of-the-art Generative AI technologies, such as GANs, diffusion, and/or language models; Audio, music, speech, sound design, and/or video signal processing expertise; Experience with large-scale generative model training, datasets, and infrastructure

Duties: You will be part of a flexible high-performance team that can adapt to world events and provide AI, ML, and other analytic capabilities to support the development of new architectures as well as previously deployed systems
Requirements: Demonstrated experience creating AI and ML models and natural language processing (NLP) models; Demonstrated experience building statistical models and performing predictive analytics

Duties: The Data Analytics and Information Systems (DAIS) Department in the Jon M. Huntsman School of Business at Utah State University invites applications for a tenure track faculty position at the Assistant Professor level to support and strengthen our programs in marketing analytics, including Bayesian statistical modeling, causal inference, survey research, conjoint, and text analysis
Requirements: PhD in Quantitative Marketing, Statistics, Economics, Data Science, or a related field; Three years or more of research and teaching in marketing analytics; Background and experience in marketing analytics, specifically Bayesian statistical modeling, causal inference, survey research, conjoint, and text analysis; Highly effective communications skills, including listening, writing, and speaking; Demonstration of collegiality among peers and constituents

Duties: Responsible for the delivery of end results focused on operational excellence; Makes decisions guided by function/business plans and policies that impacts the operations of a sub-function or work area within a sub-function
Requirements: Recognized as an expert within the company; Anticipates internal and external business challenges and/or regulatory issues; recommends process, product or service improvements; Solves unique and complex problems; requires conceptual and innovative thinking to develop solutions; Adapts function/business strategy plans and policies to address service and/or operational challenges; May play key role in projects, processes or vendor management

Duties: The Vice Chair for Clinical Machine Learning (VC - CML) develops and operationalizes Moffitt’s strategic roadmap for the utilization of Artificial Intelligence/Machine Learning (AI/ML) in clinical settings, including the assessment and prioritization of commercial products and research prototypes of developed machine learning algorithms for oncology (e.g., EHR, radiology, pathology, clinical trials, or radiation oncology). The VC-CML also assists the Chair of Machine Learning with academic leadership activities (e.g., recruitment, mentoring, retention, budgeting, strategic planning)
Requirements: PhD and/or MD with expertise in the application of AI/ML to clinical workflows and processes; Technical AI/ML knowledge and skills ideally obtained through formal training in AI and ML, with demonstrated track record in the field; Experience optimizing clinical workflow and/or implementing clinical decision support tools that leverage AI/ML; documented examples of significant work in this area is preferred; Excellent interpersonal communication skills; ability to build team consensus with diverse groups of stakeholders; leads through positive influence; Experience obtaining NIH-grants funding as an independent PI

Duties: Work with a team of engineers, software development staff and technicians to create innovative solutions that include antenna arrays, RF processing hardware, and extensive software processing capabilities including application of machine learning techniques; Work at SwRI laboratories and support short-term travel to government facilities/military bases or other customer facilities for system installations and to provide technical support within and outside the United States; Collaborate with client technical representatives and SwRI senior engineering and software staff; Prepare technical documents and support proposal preparation as required
Requirements: Requires a Bachelors in Electrical Engineering, Electrical and Computer Engineering, or Computer Engineering; Must be familiar with telecommunications and communications signal processing with understanding of radar system concepts, waveforms, and processing desired

Duties: Inform, influence, support, and execute our product decisions through data; Research applied data science questions in our ads system to improve prediction accuracy, develop data-driven go-to-mark strategies, and drive advertiser value; Work closely with engineering and product teams to develop hypotheses, run experiments and prototype new product ideas; Collaborate with data engineering teams to build/maintain reports, dashboards, and metrics to monitor the performance of our products, provide insights and identify new opportunities
Requirements: 5+ years of experience working in an analytics organization, ideally in Tech industry leading companies, especially in the advertising area; Ads or Advertiser or Agency experience; Advanced degree (PhD, MS or BS) in Statistics, Mathematics, Economics, Computer Science or other quantitative fields; Sustained track record of driving business value and improving product with data insights, especially in advertising, growth, marketing or relevant domains; Experience with ML and statistical knowledge, fluency in Python, SQL, Scala or other programming languages

Duties: Owning and leading various projects, serving as a subject matter expert; Developing and implementing bioinformatics tools and pipelines in cloud environment; Collaborating with DFCI software engineering and data science teams as well as interacting with external cloud and other technology vendors; Meeting, consulting, and providing computational and informatics support to various DFCI scientists and independent faculty members in designing and executing key biomedical projects; Collecting, analyzing, interpreting, and integrating complex biomedical data; Delivering results for projects and generating relevant reports
Requirements: Bachelor’s degree required in a STEM field. Master’s degree or PhD strongly preferred in bioinformatics, medical informatics, computational biology, statistics, computer science/engineering, or a related quantitative field; Deep bioinformatics skills at the interface between bioinformatics programming and understanding of biological and clinical problems; Experience in analysis of the next generation sequencing data, e.g. WXS/WGS, RNA-Seq, etc; experience in single-cell and/or ctDNA data analysis is a plus

Duties: Collect, manage and clean datasets; Employ new and existing tools to interpret, analyze, and visualize multivariate relationships in data; Create databases and reports, develop algorithms and statistical models, and perform statistical analyses appropriate to data and reporting requirements; Use system reports and analyses to identify potentially problematic data, make corrections, and determine root cause for data problems from input errors or inadequate field edits, and suggest possible solutions; Develop reports, charts, graphs and tables for use by investigators and for publication and presentation
Requirements: Bachelor’s degree (or higher) in Bioinformatics, Computer Science or a related field with one year (min) of relevant experience; Strong background in bioinformatics and biostatistics, including analysis of high-throughput sequencing data; Experience working within a UNIX/Linux environment; Fluency in programming languages such as Perl, Python, Java, R, C, Matlab; MySQL; Excellent communication and team skills and fluency in both spoken and written English

Duties: Collect, manage and clean datasets; Employ new and existing tools to interpret, analyze, and visualize multivariate relationships in data; Create databases and reports, develop algorithms and statistical models, and perform statistical analyses appropriate to data and reporting requirements; Use system reports and analyses to identify potentially problematic data, make corrections, and determine root cause for data problems from input errors or inadequate field edits, and suggest possible solutions; Develop reports, charts, graphs and tables for use by investigators and for publication and presentation; Analyze data processes in documentation
Requirements: Bachelor's degree or a combination of education and relevant experience. Experience in a quantitative discipline such as economics, finance, statistics or engineering; Experience as a research assistant or similar; Experience (including any graduate school) developing tools for data analysis; Proficiency in python and/or R programming languages; Experience with cloud computing environments

Duties: Apply state-of-the-art machine learning software solutions for various artificial intelligent system applications; Interact with team members to discuss technical solutions to problems; Develop tools and techniques to improve our team's research and development capability; Interact with clients (and potential clients) to discuss and propose technical solutions to unique problems
Requirements: Requires a Bachelors, Masters or a PhD in Data Science, Computer Science, Computer Engineering, Electrical Engineering, Mechanical Engineering, or related field; Training in perception (computer vision/image processing, LIDAR and/or radar) software solutions for various intelligent system applications; C++, python, and ROS experience required

Duties: Data Processing: Uses existing tools to build data processing pipelines to convert raw data into formats compatible with conventional statistical analysis and visualization. Adapts tools when necessary; Data Analysis: Performs routine analysis for which established tools exist and are considered reliable; Keeps up with the computational biology literature to assure pipelines components are up to date. Adapts tools when necessary; Data and Software Management: Monitors, downloads, organizes, and manages data from public data repositories or generated by collaborates. Evaluates published tools and updates pipeline as necessary. Writes scripts that perform this automatically; Manuscript Preparation: Independently edits and drafts the computational biology sections of a manuscript; assists in writing the results section; checks manuscripts for numerical accuracy; prepares tables and figures; Grant Preparation: Helps to formulate specific aims, explains options for experimental design,...
Requirements: Bachelor's degree required in a STEM field. Master’s degree preferred in bioinformatics, computational biology, statistics, biostatistics, computer science and/or the life sciences; Experience with principles of experimental design and the modern data analysis paradigms is required

Duties: Contribute and build the self-driving engineering foundations to develop the next generation autonomy software across several machine learning projects; Be part of a team of multidisciplinary Engineers and Researchers using an AI-first approach to enable safe self-driving at scale; Implement and improve machine learning training and inference pipelines; Make iterations on the models for improvements; Identify, propose and build infrastructure, data and computation pipelines, data storage strategies, common libraries and useful tools needed to optimize research and development of deep-learning models
Requirements: MS/PhD or Bachelors degree with a minimum of 4 years of industry experience in Computer Science, Robotics and/or similar technical field(s) of study; Solid coding proficiency in Python or C++; ​​- Some experience in reading and developing production quality software, versus only creating prototypes/proof of concepts; Experience in software architecture, system performance, latency and data flow; Experience in Machine Learning

Duties: Participate in cutting edge research in machine intelligence and machine learning applications; Develop solutions for real world, large scale problems
Requirements: PhD in Computer Science, related technical field or equivalent practical experience; Experience in Natural Language Understanding, Computer Vision, Machine Learning, Algorithmic Foundations of Optimization, Data Mining or Machine Intelligence (Artificial Intelligence)

Department: Department of Biomedical Informatics
Duties: The Emory University Department of Biomedical Informatics is recruiting for a post doctorate in the area of computer vision, image processing, machine learning, and signal processing applied to conduct high quality research with a particular focus on neuropsychiatric and cardiovascular diseases
Requirements: doctoral degree or equivalent in an appropriate field

Duties: The Department of Mathematics and Statistics at Skidmore College invites applications for a full-time Visiting Assistant Professor or Visiting Lecturer for the 2024-25 academic year. This is a one-year position. The position involves teaching 18 contact hours per year, which is typically a 3: 2 course load
Requirements: A doctorate (or ABD status) in statistics, biostatistics, or a closely related field is required for the Visiting Assistant Professor position. A master’s degree in statistics, biostatistics, or a closely related field is required for the Visiting Lecturer position. Preference will be given to candidates with teaching experience. The successful candidate will be able to teach entry-level courses in our statistics curriculum, including our introductory statistics and statistical methods courses

Duties: Research and build high-impact end-to-end machine learning systems for customer growth; Drive the design of scalable ML solutions in production; Coordinate the work of applied scientists and machine learning engineers providing research guidance and mentorship; Promote and role-model best practices of data science, engineering, and communication throughout the organization; Mentor engineers and data scientists across the org; Navigate existing ML and AI research and apply it to solve business problems
Requirements: M.S or B.S.in a Computer Science/Statistics/Data Science or related field; 10+ years of building products with Machine Learning and Personalization; Deep understanding of statistics and ML and AI fundamentals; Deep knowledge in multiple ML methodologies, such as LLMs, Foundation Models, Recommendations & Search, Causal Machine Learning, Interpretable ML, Multi-Armed Bandits, Reinforcement Learning and Constrained Optimization

Duties: Develop analytical libraries used for pricing, market analysis and risk-management for Fixed Income Market business. Develop optimization tools for calculating optimal balance sheet, liquidity, and capital charges. Develop web-based front-end interface for stakeholders to view and interact with analytical tools. Create, implement, and support quantitative models for the Fixed Income trading business leveraging a wide variety of mathematical and computer science methods and tools including, mathematical finance, statistics and probability and software engineering. Apply advanced coding skills to code and debug code
Requirements: Requires a Master’s degree, or foreign equivalent in Financial Engineering, Financial Mathematics, Operations Research and Information Engineering, or related quantitative field and 2 years of experience as a Quantitative Analyst, or related position involving quantitative statistical modeling and data analysis for a global financial services institution

Duties: Analyse antibody sequences (liability screening, clustering, etc.) from Sanger and Next Generation sequencing platforms; Develop and implement computational pipelines and algorithms for analysing antibody sequences; Organize data storage in accessible formats for other team members; Prepare data summaries, overviews, and visualizations; Participation on in silico design of humanized antibodies; Integration of Electronic Lab Notebook system in the laboratory
Requirements: Master's or Ph.D. degree in Bioinformatics, Computational Biology, or a related field; Strong background in protein bioinformatics with a focus on sequence analysis; Knowledge of next-generation sequencing (NGS) data analysis and genomics databases; Proficiency in programming languages commonly used in bioinformatics such as Python or R; Familiarity with statistical methods and machine learning techniques applied to biological sequence data

Duties: Research, design, and implement algorithms in Deep Learning for Medical Image Analysis problems; Close collaboration with clinical customers to define, implement and validate clinical prototypes; Advance the state-of-the-art, including generating patents and publications in top journals and conferences; Work on large-scale, real-world problems; Fast prototyping, feasibility studies, specification and implementation of image and video analysis product components; Working on challenging and impactful clinical problems with large-scale data sets
Requirements: Ph.D. in an engineering or science field such as Computer Science, Electrical Engineering, Statistics, or Applied Math; Strong background in Deep Learning and/or Medical Image processing; 4+ years of industry experience or post-doctoral studies in Computer Vision, Machine Learning and Image Understanding preferred

Duties: Contribute to the design and analysis of algorithms for mathematical optimization and machine learning, and to the modeling for complex design, decision, and inference problems; Collaborate in the development and application of software instantiations of numerical algorithms; Document work and results in the form of journal papers and conference proceedings, and present work and results at scientific meetings and conferences; Bring creative and innovative perspectives by proposing algorithmic approaches, models, and solutions; Engage and interact with multidisciplinary science and engineering teams
Requirements: Ph.D. degree in applied mathematics, computer/computational science, data science, operations research, or a related field is required; Fundamental knowledge of mathematical optimization, statistics, or machine learning

Duties: As part of the company's Center for Data Science and Artificial Intelligence (CDSAi) corporate analytics group, applies analytical skills to work on all aspects of the life insurance value chain, ranging from risk models, fraud detection, customer behavior study, process triaging, and marketing prediction to a variety of other analytics solutions. Applies technical data, analytical, and programming skills to ingest, wrangle, and explore external and internal data to create data assets and reports
Requirements: Master's degree in Statistics, Analytics, Computer Science, Mathematics or Machine-Learning (willing to accept foreign education equivalent) and three (3) years of experience performing data analytics and statistical modeling using complex large-sized datasets in the consumer finance domain

Duties: This role is available on the OCI AI Services and Data org. We are addressing exciting challenges at the intersection of artificial intelligence and cutting-edge cloud infrastructure. We are building state of the art data processing, model training and benchmarking platform. As Software Engineer on our team, we build services and tools to manage model lifecycle, model provenance, model catalog and model training. We build shared GPU super cluster that enables customers to easily onboard run, monitor and managing AI models at scale with OCI. You will have the opportunity to work on the LLM accelerators, setup ML training and benchmarking platforms, runtimes, libraries in the open-source projects that enable low friction performance optimized large scale training and inferencing of the world’s most advanced AI models
Requirements: Bachelor’s degree in computer science, engineering, or an equivalent highly technical field; 6+ years of software engineering experience and a proven track record of successfully architecting and shipping high performance, low latency AI/ML enabled products & services; Strong technical understanding in building complex, scalable, low latency streaming/batch processing AI/ML cloud services; Proven track record on running operations for a cloud service; Deep knowledge of large-scale compute, network, and storage systems; Experience working with Distributed Systems

Duties: In this role, you will aid applied research and product development by conceptualizing, designing, and implementing engineering improvements related to large-scale deep neural networks. You would have proven expertise in efficiency optimizations using techniques such as quantization, model pruning, distillation, compute-efficient finetuning, etc. You have to be deeply knowledgeable in ML hardware and software to be successful in this role. Additionally, you need solid software development skills, a love of learning, a passion for solving problems, a bias to action, and effective collaboration with scientists
Requirements: 5+ years of software engineering experience with a track record of delivering quality results; Proven expertise in training and serving infrastructure for LLMs and other large foundation models; Strong problem-solving skills with knowledge of statistical methods; Strong software development experience in languages such as Python and Java; Deep understanding of TensorFlow and/or PyTorch

Duties: Provide strategic direction for prenatal bioinformatics efforts, aligning strategies with company goals and collaborating with cross-functional teams; Lead the Bioinformatics team, fostering innovation, collaboration, and growth. Guide project priorities, resources, and career development; Develop and execute bioinformatics strategies to enhance next-generation sequencing pipelines for the Unity product line, driving innovation
Requirements: PhD in Bioinformatics, Computational Biology, Computer Science, Bioengineering, Physics or related field; Demonstrated ability to manage and lead a team of bioinformaticians; Excellent project management skills and attention to detail; Excellent communication and ability to work collaboratively with a cross-functional team; 10+ years of bioinformatics experience (including PhD years or afterward)