Duties: Drive the technical and organizational roadmap for the engineering team; Lead and grow a team of exceptional machine learning engineers; Influence key decisions on architecture and implementation of scalable, reliable, and cost-effective engineering solutions; Develop deep architectures and optimization techniques for cutting-edge solutions; Create products that are used by millions of Snapchatters; Learn new techniques and stay on the cutting edge of machine learning technology; Design and implement machine learning and computer vision solutions to be used by millions of Snapchatters
Requirements: BS in a technical field such as computer science or equivalent years of experience; 8+ years of machine learning experience; 2+ years of experience managing a team and technical leadership; Research or engineering experience with generative models (e.g. diffusion models, GANs, VAE, etc.)

Duties: The successful candidate will have a demonstrated ability to translate biological questions into technical design, and to identify, prioritize, and execute bioinformatics tasks to meet project goals and deadlines. The analyst will participate in meetings and consultations with clients to discuss design and interpretation and will assist in manuscript and grant preparation. The candidate should have a passion for bioinformatics and enjoy collaborating and supporting academic researchers and attending seminars and meetings
Requirements: Ph.D. in Bioinformatics, Genomics, Biostatistics, Computer science or a related field; Advanced proficiency with R/Bioconductor or Python or C/C++; Knowledge of database development and AI

Duties: Implement the set of services needed to release AI and data science models capable of working with terabytes of data. This includes model related features like one time and ongoing automatic model training, deploying, and monitoring models, as well as platform related features such as model repository, feature stores, data access layer; Provide technical leadership for efforts around tooling and infrastructure that enable teams to efficiently complete and maintain data science projects; Work and partner with product delivery teams to fully implement the proof of concept and early product in Visa services and products; Collaborate with research scientists, product owners and architects to deliver the fast-prototyping platform; Champion the innovation across the organizations and industries as an expert in the subject, either by providing consulting or by contributing to technology talks and presentations
Requirements: 2+ years of relevant work experience and a Bachelors degree, OR 5+ years of relevant work experience; Experience programming in at least one or more in Java, Python, Scala and Go; Strong understanding of algorithms and data structures; Experience in leading, building and supporting scalable and reliable data solutions, AI/machine learning powered systems that can enable fast prototyping and advanced analytics using modern big data and ML/AI technologies (Hadoop, Spark, Cloud, No-SQL, TensorFlow, H2O etc.) in an agile manner

Duties: Design and deliver practical training programs to advance the organization's scientific, analytical, and statistical skills, fostering a culture of continuous improvement in data-related competencies; Partner with the product biology technical lead in AMEA, interpreting complex data to extract technical insights and provide robust analytics support that informs product development strategies; Conduct comprehensive analysis of extensive datasets from both internal and external sources to uncover trends and patterns and generate actionable insights that drive strategic decisions; Engineer streamlined methodologies for automating data preparation, curation, and organization processes to guarantee high-quality data that supports efficient analytics workflows
Requirements: MSc or Ph.D. in biostatistics or data science with over three years of work experience or equivalent work experience in related functional areas; Data analytics and statistics: scientific data management, data mining, machine learning, numerical and statistical methods; Data management from field experiments in crop protection product development; Experience developing data visualization platforms via Power BI, Qlik Sense, Tableau, or other RPA tools

Duties: The research intern will be training and collaborating with Dr. Su's Lab within the Department of Bioinformatics and Computational Biology. The research intern will be exposed to a variety of projects that are conducted in Dr. Su's Lab, ranging from projects on performing alignment for NGS data such as RNA-Seq, DNA-Seq, ChIP-Seq, and ATAC-Seq data; implementation of R scripts to perform clustering analysis for scRNA-Seq data; or writing scientific manuscripts for publications
Requirements: Bachelor degree in Computer or related field

Duties: Build, optimize, and deploy machine learning models to support identity resolution and ads attribution; Create models which help drive value for users, advertisers, and our company; Collaborate with cross-functional teams to align on machine learning strategies to meet company objectives; Stay up-to-date with the latest technology in machine learning and apply this knowledge to tackle complex problems in innovative ways; Perform code reviews and ensure exceptional code quality
Requirements: Bachelor's degree in technical field such as computer science, mathematics, statistics or equivalent years of experience; 8+ years machine learning experience in industry; Experience building and applying machine learning models to one of the following areas: ads attribution, identity, measurement, or privacy-preserving ML

Duties: Optimize scalable single-nucleus and spatial genomic technologies for fresh and archived human biospecimens; Apply targeted and systematic genome engineering approaches to perturb candidate regulatory elements or genes in relevant cellular models; Work with collaborators to develop and optimize phenotypic screens for genetic and drug perturbations. There will also be opportunities to develop bioinformatics and computational skills through collaborations on multiple internal and external projects
Requirements: Requires a doctoral degree or master's degree with significant experience; Some experience in bioinformatics or computational biology is preferred but not required

Duties: Take the computational biology lead on studies including; designing the study, the analysis plan and carrying out the statistical programming and data management to implement the plan; Experience in single cell data analyses and integrative multi-omics approaches is a strong plus; A background in immunology and experience working with clinical trial data will be a plus and will help in the development of independent research projects
Requirements: Ph.D. in Computational Biology, Biostatistics, Statistics, Bioinformatics or related field; Experience with multiple programming languages such as Python and R

Duties: Conducting experiments on state-of-the-art machine learning models using Tensorflow for real world, large scale problems; Constructing and enhancing data pipelines for model training and serving using Google cloud products such as Apache Beam/Dataflow, BigQuery, and BigTable; Building machine learning productivity tools (e.g. model quality measurement), deploy them in Kubernetes, and help model engineers adopt them
Requirements: Strong background in data structures and algorithms; Strong coding and problem solving skills; Familiar with distributed systems and/or databases; Fluent with at least one programming language

Duties: With this translational context in mind, Dr. Baxevanis’ group is currently leading international efforts to sequence two cnidarian species: Hydractinia and Podocoryna. The regenerative abilities of these colonial hydrozoans make them excellent models for the study of key questions related to pluripotency, allorecognition, and stem cell biology, work that will be significantly advanced by the availability of high-quality whole-genome sequencing data from these organisms. The successful applicant will have the opportunity to develop and apply bioinformatic approaches to these and other large-scale genomic data sets, focusing on the evolution of specific protein families and biological pathways that have putative roles in disease causation
Requirements: Candidates should have or be close to obtaining a Ph.D. or equivalent degree in bioinformatics, computational biology, computer science, molecular biology, or a closely related field. Candidates with a background in evolutionary biology are particularly encouraged to apply. Programming skills and experience in the application of computational methods to genomic data are highly desirable. Applicants must possess good communication skills and be fluent in both spoken and written English. The ability to learn how to use new software and quickly become expert in its use, critical thinking, problem-solving abilities, and the ability to work semi-independently are required

Duties: Lead research direction on projects investigating diverse fields such as Information Management, Human Language Technologies, Data Analytics, Machine Intelligence and Autonomy, Planning and Estimation; Propose new research in machine learning applications to advance the state of the art; Build relationships with government program managers based on mutual respect for technological depth and creativity; Capture new business from new and existing customers by leveraging the strength of BBN expertise and capabilities
Requirements: Typically requires BS with minimum of 12 years of experience or an advanced degree and minimum of 10 years; Degrees in Computer Science, Computer Engineering, Computational Linguistics, Electrical Engineering, and other related fields are all welcome; Proven ability to produce technical artifacts in the form of publications in peer reviewed venues, or presentations to external customers and other stakeholders; Proven ability to carry out a research project from idea to design, implementation, testing, and publication

Duties: Provide AI/ML and computational biology expertise to support Vaccine research & Development; Develop an integrated framework connecting multi-omics data analysis and ML algorithm to enhance vaccine target selection and optimization strategy; Work with platform leadership to shape and inform key RNA strategy and execution; Actively identify opportunities to leverage latest advances in AI/ML application; Communicate study findings efficiently and present data at various meetings as projects progress; Collaborate extensively with those from other scientific disciplines from within the group, from other subdivisions of Vaccines R&D, from other divisions of Pfizer, and potentially from external partners
Requirements: PhD in Systems Biology, Computer Science, Mathematics, or related quantitative field; 6+ years of experience developing and applying Machine Learning to address challenge biological problems; Foundational knowledge of ML methods and underlying mathematical concepts; Research experience related to next generation RNA therapeutics design and drug discovery; Proficiency with deep learning frameworks and data structures

Duties: We are building on this experience by forming a strong and diverse research group focused on developing and implementing cutting-edge methods and technologies for discovery and replication, molecular diagnosis, functional dissection of pathways, and targeted therapeutics for neurodevelopmental and related disorders. This work has the potential to dramatically improve the lives of individuals affected with these currently untreatable disorders through early intervention and biologically based personal therapies. Areas of interest include: genomics, single-cell genomics, modeling of neurodevelopmental disorders in stem cell (iPSC) and animal systems, massively parallel functional assays, and bioinformatics
Requirements: PhD, MD or MD/PhD in neuroscience, cell/molecular biology, genetics or related field; Strong interest in developmental neuroscience; Demonstrated ability to work independently and learn new techniques quickly; Candidates must be well organized, self-motivated and dependable; Excellent communication skills with the ability to plan, document, analyze and report data

Duties: Design state-of-the-art machine learning models using Tensorflow for real-world, large-scale problems; Construct and maintain data pipelines for model training and serving using Google cloud products such as Apache Beam/Dataflow, BigQuery, and BigTable; Develop highly scalable model servers on cloud platforms; Work with product, account, and infrastructure engineering teams to define future product roadmaps
Requirements: MS or Ph.D. degree in Computer Science or related technical field; 7+ years of software development experiences in Machine Learning, Deep Learning related areas; Fluent with one or more programming languages including Python, Java, and Golang; Knowledgeable with production-level machine learning applications including Natural Language Processing, computer vision, recommendation systems, and ranking systems; Experience in building a highly scalable model or online service system

Duties: We're looking for a creative, collaborative, and highly motivated bioinformatics scientist to join our biology R&D team to work on exciting advanced biology research projects for the U.S. Government. The candidate will work with a team of about 10 people, and will contribute to multi-year, interdisciplinary programs that bring together teams in biology, engineering, and data science to develop and transition new biotechnology solutions in support of national security
Requirements: A degree in Bioinformatics, Computational Biology, Data Science or a related field plus 8 years of progressive technical experience; Bioinformatics software development and analysis experience with a knowledge of common bioinformatics tools and workflows (genomics required; transcriptomics/proteomics/metabolomics/multiomics are desirable)

Duties: Design state-of-the-art machine learning models using Tensorflow for real-world, large-scale problems; Construct and maintain data pipelines for model training and serving using Google cloud products such as Apache Beam/Dataflow, BigQuery, and BigTable; Develop highly scalable model servers on cloud platforms
Requirements: Bachelor’s Degree in Computer Science, Statistics, Mathematics, or related technical field; 5+ years of software development experiences in Machine Learning, Deep Learning related areas; Fluent with one or more programming languages including Python, Java, and Golang; Knowledgeable with production-level machine learning applications including Natural Language Processing, computer vision, recommendation systems, and ranking systems

Duties: Conduct experiments to evaluate model performance, robustness, and generalization; Deploy trained models in production environments; Stay up to date with the latest advancements in NLP, deep learning, and AI research; Communicate technical findings and insights effectively; Collaborate with cross-functional teams, including researchers, software engineers, and product managers
Requirements: 5+ years of experience writing production quality code; Good understanding in machine learning, deep learning, natural language processing, generative AI and multimodal learning; Experience with transformer-based and diffuser-based models (e.g., BERT, GPT, T5, Llama, Stable diffusion)

Duties: Independently devise and execute analyses on primary protein data, then communicate the results of said analyses in a clear and actionable manner to all members of the company regardless of their scientific background; Set the direction for future evolution of our protein decoding approaches, including hands-on work to research, prototype, and test the accuracy & performance of any modifications to the decoding algorithms; Work closely and cross-functionally with representatives of other disciplines across the company to provide them with an understanding of our current protein decoding capabilities and to guide experimental & instrument improvements to optimize our decoding performance; Collaborate with the software engineering team to implement, validate, deploy, and monitor the identification & quantification algorithms in production at scale
Requirements: PhD in Bioinformatics, Computational Biology, or related field with a minimum of 8-12 years of relevant industry experience; 4+ years of experience in managing a team of bioinformatic scientists; Demonstrated history of effectively leading an organized and dynamic team in a fast-paced, deadline driven environment, including determining team research direction and priorities; Demonstrated ability to computationally model biological processes, then conceive and implement novel algorithmic approaches that extract insight from real-world data based on these models

Duties: The Outlook Data and AI Platform Team is seeking a highly experienced engineer who is deeply passionate about crafting a data-driven evaluation framework. This framework will empower hyper agility in developing Generative AI scenarios throughout the Outlook ecosystem. This role represents a greenfield opportunity, where we collaborate with other Microsoft teams to explore and develop tools and techniques for the evaluation and analysis of Copilot features in Outlook. Many of these features yield probabilistic outcomes, necessitating a sophisticated approach to evaluation and analysis. This role is for someone who enjoys creating solutions that are not just new for the team, the company but for the entire industry. In this pivotal position, you will work closely with feature developers, product managers, data scientists, as well as Microsoft's Office of Applied Research and Substrate AI
Requirements: A minimum of 5 years of software development experience in building services and tools; At least 1 year of experience working with data, including defining and analyzing metrics and creating optimized data pipelines capable of handling substantial data volumes; Proficiency in at least one high-level programming language, such as C# or Python; Exceptional problem-solving abilities, critical thinking skills, and communication prowess

Duties: Als Full Stack Entwickler*in übernimmst Du eine wichtige Rolle in der Realisierung, Neu- und Weiterentwicklung von SAP Entwicklungsprojekten; Du erweiterst und passt bestehende SAP Standard Anwendungen an, entwickelst eigene Programme und erstellst technische Spezifikationen und Dokumentationen; Zudem bist Du für die Planung und Durchführung von Integrations- und Funktionstest zuständig; Als Teil des Entwicklerteams begleitest Du den gesamten S/4HANA Transformationsprozess und agierst beratend als Schnittstelle zwischen Fachbereichen und der IT
Requirements: Du verfügst über ein abgeschlossenes Studium, vorzugsweise der (Wirtschafts-)Informatik, alternativ eine vergleichbare Qualifikation mit IT Schwerpunkt und Berufspraxis; Du hast bestenfalls erste Kenntnisse in funktionalen/objektorientierten Programmiersprachen, wie C/C++, Python, R, Java oder JavaScript sowie in Schnittstellentechnologien und Datenbanken; Fliessende Deutschkenntnisse in Wort und Schrift sowie gute Englischkenntnisse setzen wir voraus

Duties: Vous ferez partie d’une équipe interdisciplinaire d’ingénieurs, de scientifiques de données et de chercheurs travaillant dans un environnement axé sur la recherche. ; Acquérir rapidement de nouvelles compétences et les appliquer selon les besoins, par exemple apprendre un nouvel algorithme d’apprentissage automatique à partir d’un document de recherche et le mettre en œuvre; Solides bases en génie logiciel, y compris le codage, les tests, la résolution de problèmes et l’analyse de données; Fournir un soutien de haute qualité à tous les chercheurs du laboratoire et à notre communauté d’utilisateurs. ; Créer et entretenir des relations techniques avec les équipes produits. 
Requirements: Baccalauréat en informatique, ingénierie, statistiques, mathématiques ou dans un domaine connexe et plus de 4 ans d’expérience en ingénierie technique avec le codage dans des langages comprenant, sans toutefois s’y limiter, C, C++, C#, Java, JavaScript ou Python

Duties: Lead, collaborate, and execute on research that pushes forward the state of the art in 3D computer vision, multimodal reasoning and generative approaches; Directly contribute to experiments, including designing experimental details, writing reusable code, running evaluations, and organizing results; Work with the team to help design, setup, and run practical experiments and prototype systems related to large-scale, long-duration sensing and machine reasoning; Contribute to publications and open-sourcing efforts
Requirements: Currently has or is in the process of obtaining a PhD in the field of Computer Vision, Computer Science, Mathematics, a related field, or equivalent practical experience. Degree must be completed prior to joining Meta; Experience communicating research for public audiences of peers; Experience with real world system building and data collection, including design, coding (C++) and evaluation (C++/Python), including experience with modern ML methods and algorithms; Hands-on experience implementing 3D computer vision algorithms and training/evaluating ML and AI models

Duties: Lead, collaborate, and execute on research that pushes forward the state of the art in multimodal reasoning and generation research; Work collaboratively with other research scientists to develop novel solutions and models in service of contextualized AI for augmented reality; Working on curation of large datasets across many modalities (e.g., vision, audio, IMU, sEMG); Leading experimental design, implementation, evaluation, and reporting results to enable new capabilities for multimodal LLMs
Requirements: PhD degree or equivalent experience in Computer Science, Mathematics, Engineering or a related field; Publication record in machine learning, AI, computer science, statistics, applied mathematics, data science, or related technical fields; 6+ years of experience in one or more of the following areas: Deep Learning, NLP, Multimodal, Computer Vision, Speech

Duties: Designing, developing, building, and maintaining peptide design pipelines, focusing on (but not restricted to) structural and conformational aspects; Maintaining a scientific and technical watch and staying abreast of the state-of-the-art in the fields of protein structure prediction and peptide and protein design, from both global research and industrial perspectives; Performing structural analyses of systems of interest (detection of pockets, detailed analysis of protein/protein interfaces, of docking pose, etc.); Engaging with other peptide and protein design companies to develop partnerships or to conduct joint projects
Requirements: Ph.D. in computational chemistry, molecular modeling, structural biology, machine learning, or a related field, with a strong theoretical background as demonstrated by contributions to leading journals; or an equivalent combination of education and experience; Hands-on experience designing, training, or utilizing modern deep-learning tools for protein structure prediction, protein modeling or protein design (e.g. AlphaFold, ProteinMPNN, Rosetta tools etc.); 3 or more years of experience in protein structure prediction and analysis, including expert knowledge of modern computational chemistry packages and tools, with an emphasis on molecular dynamics, structure prediction and analysis, virtual screening/docking

Duties: You will be involved in specific engagements involving the building of new and bespoke advanced analytics solutions for clients. You’ll dive into complex data sets across a rich variety of industries, functions and geographies while remaining a core member of the strategy team, injecting your analytics thinking on meaningful client projects. You will shape solutions tailored to the needs of our clients, maximizing programming languages (e.g., R, Python), tech platforms, and disruptive analytics methodologies (e.g., Casual Inference, Bayesian Optimization, Geospatial Analytics, Natural Language Processing) as part of our tech-agnostic firm
Requirements: Bachelor’s degree in quantitative field like computer science, engineering, statistics, mathematics or related field required; advanced degree is a plus; Programming (focus on machine learning) in Python (must), SPSS, SAS, Ruby, Hadoop (valued); 3+ years of hands-on mathematical modelling experience in business environment