Want to work on projects that will change the way Amazon works with our international customers? Like challenging, fast-paced environments and have a passion for languages and other cultures? Want to work on the bleeding edge of Machine Translation technology? The Localization Platform team is looking for a Machine Translation (MT) Technical Program Manager! The Localization Platform team develops and maintains the tools and systems that deliver localized content to Amazon’s customers in many languages around the globe. Our tools and services are used by all of Amazon’s businesses, including AWS, Kindle, and of course, the Amazon websites. We are looking for a sharp, hands-on Machine Translation Technical Program Manager to manage model training and machine translation implementation projects on behalf of our internal customers. As a MT PM, you will work closely with MT Engineers, MT Scientists, and MT vendors. You will also drive continuous improvement initiatives of our MT services and processes in order to constantly reduce the MT model training time. The right candidate will possess a strong technical solution architecture and project management background, and will have demonstrated experience leading technical projects with tight deadlines. You must be able to thrive and succeed in an entrepreneurial environment and not be hindered by ambiguity or competing priorities. You will develop and drive high-level strategic initiatives that will help Amazon teams unlock the full potential of machine translation. You will help develop architectures and technical solutions for complex problems, anticipate bottlenecks, provide escalation management, anticipate and make trade-offs, and balance the business needs versus technical constraints. An ability to take large, complex projects and break them down into manageable pieces, develop functional specifications, then deliver them in a successful and timely manner is expected. Company: Amazon Qualifications: 5+ years of technical project management experience in a related industry. Strong interpersonal skills. Strong problem-solving and organizational skills. Strong data analysis skills. Ability to operate independently in a highly ambiguous environment. Ability to define and implement automated business processes from scratch. Bachelor’s Degree or equivalent, ideally in Engineering, Computer Science, Computational Linguistics or a related technical field. Strong interest in Statistical Machine Translation (SMT) and Natural Language Processing (NLP). Hands-on experience with machine translation systems. External vendors relationship management. Language requirements: Excellent English-language communication skills, both written and verbal. Educational level: Bachelor’s Degree Level of experience (years): Senior (5+ years of experience) How to apply: Please mention NLP People as a source when applying. #J-18808-Ljbffr
Want to work with amazingly bright people on projects that will change the way Amazon works with our international customers? Like challenging, fast-paced environments and have a passion for data, languages, and other cultures? The Localization Data Management team is looking for a Software Development Manager to help deliver new products to our customers! As a Software Development Manager, you will lead a team of highly skilled developers in the development of a new reporting, billing, and localized resources system. These systems will be based on the latest AWS technologies with a focus on scalability and throughput. In partnership with the Localization Platform team, your team will assist in assuring operational excellence across all of Amazon’s localization services. This is a unique opportunity at Amazon with great exposure as all of Amazon will be your customer! If you like to work hard, have fun, and make a difference, this is the team for you! Key Responsibilities Manage a team of Software Engineers working on building world-class, scalable distributed systems. Recruit, hire, mentor, and coach Software Development Engineers. Interface with our internal customers to understand requirements, set priorities, and communicate direction and progress. Own all operational metrics and support for your team’s software. Manage the agile development process and methodology to deliver incremental value to customers. Help develop long-term development and business technology strategies. Company: Amazon UK Qualifications: Candidates must possess strong verbal and written communication skills and demonstrated technical leadership. 3-5 years’ experience in Software development with experience as a Development Manager, managing teams of software engineers, and delivering on a technology roadmap. Strong business and technical vision. Experience in development of distributed/scalable systems and high-volume transaction applications. Strong technical credentials. Bachelor’s Degree in Computer Science or related degree. Exceptional customer support focus and skills. Experience with data mining, report analysis, and data modeling. Experience with Java and web-based technologies. Experience with Machine Translation technologies. Knowledge of Localization and Internationalization. Experience working pragmatically under deadlines with operational software. Language requirements: Multilingual (any language other than English) Level of experience (years): Mid Career (2+ years of experience) How to apply: Please mention NLP People as a source when applying. #J-18808-Ljbffr
At LinkedIn, we regularly process the semi-structured content in the 340+ million member profiles and the content they create on LinkedIn, such as comments, job descriptions, group discussions, and Influencer posts. We are building an NLP (Natural Language Processing) team at LinkedIn and this is a great opportunity to get in on the ground floor. Responsibilities: Design and develop NLP systems and tools. Research and evaluate different solutions to NLP problems. Produce deliverable results and see them through from development to production. Interact and work with remote teams located in different timezones. Company: LinkedIn Qualifications: Requirements: PhD in Computer Science or related discipline. Expertise in several of the following domains: sentiment analysis, information extraction (POS, N/E tagging with HMMs/CRF etc), feature extraction, classification, tokenization, and processing of non-English text. Machine Learning & Text mining exposure and familiarity with R, Weka, NTLK etc. Solid experience in Java, C++, or another object-oriented language. Excellent communication skills, drive and discipline to get things done. We’d prefer if you also have: Worked with web-scale traffic and data. Experience with Hadoop, Pig, or other MapReduce paradigms. Experience with Lucene, SOLR or other open-source IR toolkits. Published work in academic conferences or industry circles. Involved in consumer-facing product development and design. Educational level: Ph. D. How to apply: Please mention NLP People as a source when applying. #J-18808-Ljbffr
You Are: As a Senior AI Engineer, you are passionate about pushing the boundaries of artificial intelligence and machine learning. You have a strong foundation in AI algorithms and are experienced in deploying scalable AI solutions. Your analytical mindset allows you to solve complex problems efficiently, and you thrive in a collaborative environment where innovation is at the forefront. Your communication skills enable you to convey complex technical concepts to a diverse audience, ensuring alignment and understanding across teams. You are proactive, continually seeking to improve processes and outcomes, and your curiosity drives you to stay updated with the latest advancements in AI and machine learning. What You’ll Be Doing: Designing and implementing state-of-the-art AI solutions to solve complex problems in various domains. Collaborating with cross-functional teams to integrate AI models into production systems. Conducting research and experiments to improve existing AI algorithms and develop new ones. Analyzing large datasets to extract meaningful insights and inform AI model development. Optimizing AI models for performance, scalability, and reliability. Providing technical guidance and mentorship to junior engineers and team members. The Impact You Will Have: Enhancing the performance and capabilities of Synopsys’ AI-driven products and solutions. Driving innovation in AI technologies that power various applications, from automotive to healthcare. Contributing to the development of cutting-edge AI models that set industry standards. Improving the efficiency and scalability of AI systems deployed across different platforms. Enabling data-driven decision-making through advanced AI and machine learning techniques. Fostering a culture of continuous improvement and innovation within the AI engineering team. What You’ll Need: Minimum Masters degree or Bachelors with 2 years’ experience Strong proficiency in programming languages such as Python, C++, or Java. Extensive experience with machine learning frameworks like TensorFlow, PyTorch, or Keras. Deep understanding of AI algorithms, including neural networks, reinforcement learning, and natural language processing. Experience with data preprocessing, feature engineering, and model evaluation techniques. Familiarity with cloud platforms and tools for deploying AI models at scale. Who You Are: Innovative thinker with a passion for AI and machine learning. Excellent problem-solving skills and attention to detail. Strong communicator, able to articulate complex ideas clearly and effectively. Collaborative and team-oriented, with a proactive approach to work. Adaptable and eager to learn new technologies and methodologies. The Team You’ll Be A Part Of: You will be part of a dynamic AI engineering team dedicated to developing innovative AI solutions that drive Synopsys’ product portfolio. The team focuses on research, development, and deployment of AI models that address real-world challenges across various industries. Collaboration, creativity, and a commitment to excellence are the cornerstones of our team’s success. We Are: At Synopsys, we drive the innovations that shape the way we live and connect. Our technology is central to the Era of Pervasive Intelligence, from self-driving cars to learning machines. We lead in chip design, verification, and IP integration, empowering the creation of high-performance silicon chips and software content. Join us to transform the future through continuous technological innovation. Rewards and Benefits: We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process. #J-18808-Ljbffr
Company Overview DocuSign brings agreements to life. Over 1.5 million customers and more than a billion people in over 180 countries use DocuSign solutions to accelerate the process of doing business and simplify people’s lives. With intelligent agreement management, DocuSign unleashes business-critical data that is trapped inside of documents. Until now, these were disconnected from business systems of record, costing businesses time, money, and opportunity. Using DocuSign’s Intelligent Agreement Management platform, companies can create, commit, and manage agreements with solutions created by the #1 company in e-signature and contract lifecycle management (CLM). What you’ll do DocuSign is looking for a passionate, talented, and inventive Senior Machine Learning Engineer to help build industry-leading innovative solutions. The Senior MLE will leverage mining, deep learning, content understanding, document processing and more. You will prototype machine learning models that deliver more personalized and automated customer experiences. This position is an Individual Contributor role reporting to the Director of Engineering. Responsibilities Work together with the ML team to perform research, testing and evaluation of existing and emerging NLP/ML/DL methods and technologies that could be effectively applied to contractual/legal. Knowledgeable in and capable of applying NLP techniques in order to maintain and extend the current rule-based, supervised and unsupervised methods. Knowledge of and ability to apply ML/DL algorithms and technologies to NLP tasks such as Named Entity Recognition, POS tagging, Parsing, Sentiment Analysis, Clustering, text prediction, etc. Develop a comprehension of the technologies, methods and the architecture within DocuSign product development. Also an understanding of the entire software development end-to-end process as well as the product code and release management process will be essential. Understand, assist and improve the existing training maintenance and enrichment process. Work within the Machine Learning team to deploy models to production, using current and emerging machine learning methods and technologies. Collaborate closely with Product Management to translate product requirements into robust, customer-agnostic machine learning success metrics. Job Designation Hybrid: Employee divides their time between in-office and remote work. Access to an office location is required. (Frequency: Minimum 2 days per week; may vary by team but will be weekly in-office expectation). What you bring Basic 8+ years of experience in designing, developing, deploying and monitoring machine learning and deep learning solutions. Experience programming in Python, PyTorch, TensorFlow, spaCy, scikit-learn, or equivalent machine learning framework. Strong programming skills in one or more of the following languages – Python, C#, Java, C/C++. Bachelor’s degree in computer science, Physics, statistics, econometrics, operations research, applied mathematics or an equal computational field. Preferred Demonstrated experience developing and deploying sequence-based Deep Learning models. Experience in the latest NLP big model technologies like GPT2, BERT, XLNet. Experience in Computer Vision. Strong desire to stay ahead of industry trends & technologies with a dedication to continuous learning. Experience with Machine Learning Concepts – Training, Validation, Testing, Precision/Recall, Bias/Variance, etc. Experience in extracting, cleansing, and manipulating large, diverse structured and unstructured sets. Assist with the development of language agnostic contract clause recognition, including Cyrillic (Russian) and double byte languages such as Japanese, Korean and Chinese. Life at DocuSign DocuSign is committed to building trust and making the world more agreeable for our employees, customers and the communities in which we live and work. You can count on us to listen, be honest, and try our best to do what’s right, every day. Accommodation DocuSign is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need such an accommodation, or a religious accommodation, during the application process, please contact us. Applicant and Candidate Privacy Notice #LI-IC-DS Company: DocuSign Qualifications: Language requirements: Specific requirements: Educational level: Level of experience (years): Senior (5+ years of experience) #J-18808-Ljbffr
We’re on a mission to help the hospitality industry double their profitability, reduce their carbon footprint, and create better working environments for their teams. Our CEO, Conor, founded and scaled Mad Egg, one of the fastest-growing restaurant groups in Ireland. Having experienced firsthand the frustration of juggling “market-leading” restaurant management systems, spreadsheets, and paper printouts, he set out to build the solution he wished he had from day one: Nory. Now, we’re scaling fast. We have a real product solving real problems—and we can barely keep up with demand. With ambitious goals for 2025 and a recent Series A led by Accel, we’ve grown to a team of 50+ across Ireland, the UK, and Spain. We’re now looking for a Machine Learning Specialist to join our newly formed data team. Combining both research and engineering sides of ML, this would be a great role for someone who loves owning the algorithm development process from idea through to production. We are working on a mix of classical ML and operations research problems with ongoing research for new product features. Please note – this role can be remote within the GMT +1, or hybrid from our Dublin or Holborn offices. What you’ll be doing: Design, build and deploy production new machine learning algorithms Monitor, maintain and iterate on existing algorithms Work closely with product and engineering on collaborative feature releases Contribute to the wider data and tech community at Nory What you’ll bring: A scientific approach to problem solving based on crafting and testing hypotheses The ability to write clean and maintainable python code Real world experience deploying algorithms into production Strong fundamentals in ML theory You’ve learnt at least one “Way” of running ML projects Familiarity with cloud infrastructure What you’ll get in return: Equity at our Series A valuation 35 days of paid leave per year (including bank holidays) Comprehensive private health insurance Enhanced parental leave and baby loss support Learning & development culture – €1000 personal annual budget + quarterly book budget €250 home office workspace budget Regular team offsites & socials And much more We hire humans. At Nory, we believe that diverse teams build better products. We welcome applicants from all backgrounds, identities, and walks of life. Your individuality matters, and we’re committed to creating an inclusive workplace where everyone can thrive. We do not discriminate based on gender, ethnicity, sexual orientation, religion, family status, age, disability, or race. Company: Nory Level of experience: Senior (5+ years of experience) #J-18808-Ljbffr
Your work days are brighter here. At Workday, it all began with a conversation over breakfast. When our founders met at a sunny California diner, they came up with an idea to revolutionize the enterprise software market. A culture driven by our value of putting our people first is central to who we are. Our Workmates believe a healthy employee-centric, collaborative culture is essential for success in business. We look after our people, communities, and the planet while still being profitable. Inspired to make a brighter work day for all and transform with us? Bring your brightest version of you and have a brighter work day here. About the Team We’re working on making machine learning core to Workday’s products by building data products and auto-ml models that can be scaled out to hundreds of use cases within Workday. You will solve complex problems and influence machine learning and application development across Workday. About the Role We’re building an ML platform designed to power Search, Generative AI, and other services in order to modernize how users interact with Workday. As a platform machine learning engineer, you will help build an ML development platform designed to support advanced Large Language Models (LLMs), personalization, and predictive analysis. You will work closely with other data engineers, ML engineers, and software developers to deliver ML solutions that enable ML powered search and user experience across Workday’s product ecosystem. About You Key Responsibilities • Own exploration, design, and execution of platform technology that enables advanced ML models and algorithms. • Build data pipeline tools to preprocess and clean large amounts of unstructured text data for Natural Language Processing (NLP). • Apply machine learning techniques including LLMs, deep learning, natural language understanding, and sentiment analysis to analyze large sets of HR-related text data. • Enable training, validation, and fine-tuning of machine learning models using large-scale datasets. • Collaborate across teams to deliver your products through Workday end user applications. • Keep abreast of the latest advancements in NLP research and techniques. Basic Qualifications • Bachelor’s (Master’s preferred) degree in engineering, computer science, physics, math, or equivalent. • 3 or more years of experience developing, deploying, and supporting high-performance systems in production. • 3 or more years of experience with industry tools used to build scalable machine learning systems, such as AWS, SQL, Elasticsearch, Kubernetes, Docker, and/or Spark. • Proven understanding of statistical analysis and machine learning algorithms, natural language processing, and generative models. Other Qualifications • Experience with data engineering and data wrangling using e.g. Pandas and PySpark. • Familiarity with LLMs and their applications in real-world scenarios. • Standout colleague, strong communication skills, with experience working across functions and teams. Our Approach to Flexible Work With Flex Work, we’re combining the best of both worlds: in-person time and remote. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. Company: Workday Limited Qualifications: Educational level: Level of experience (years): Senior (5+ years of experience) #J-18808-Ljbffr
About Huawei Huawei Ireland Research Centre provides cutting-edge technologies and solutions through research and innovation, supporting a wide range of businesses for Huawei at global scale, including Artificial Intelligence, Cloud reliability and Infrastructure efficiency. Huawei Consumer BG continues to focus on intelligence and interaction and devote efforts to developing the intelligent solutions of the future, to bring about tremendous improvements to the user experience. About The Role Huawei Ireland Research Centre is seeking a Research Scientist in the domain of NLP, LLM, and AI in general. In this role, you will be working alongside other research scientists for conducting cutting edge research and development in the area of AI and NLP for solving the most complex challenges in cloud services and user experience management. You will be working on LLMs and their application on real-life problems for error-correction, recommendation and chatbot solutions. Responsibilities • Work with business experts and scientists to build LLM models for application oriented NLP problems to drive business growth and commercial impact. • Develop research problems to advance state of the art techniques. • Prototype models to quantify and demonstrate the impact of input changes; seek optimal results through optimization techniques. • Dataset acquisition and model evaluation and iteration to showcase its value. • Development of small-scale software prototypes based on AI technologies, and benchmark alternative solutions. • Work closely with Domain Experts, Data Engineers, and AI researchers. • End-to-end AI solution development for related products. • Publish paper in related conferences, and file patents as required. Qualifications • Advanced education degree (Ph.D. preferred) in Mathematics, Statistics, Computer Science, or related fields. • Strong knowledge in LLM and NLP domain (AI/ML in general). • Prior research publications in related areas. • Strong coding skills (e.g. Python, pyTorch, etc.) • Excellent problem solving ability. • Good verbal and written communication skills. Company: Huawei Ireland Research Center Level of experience (years): Senior (5+ years of experience) Tagged as: Industry , Ireland , NLP #J-18808-Ljbffr
Company: QT Technologies Ireland Limited Job Area: Information Technology Group, Information Technology Group > IT Engineering General Summary: We are seeking a highly skilled Technical Support Engineer specializing in Machine Learning (ML) operations, Kubernetes, container technologies, and Run:AI. In this role, you will be responsible for providing technical and operational support for customers leveraging GPU computing platforms to optimize and manage AI/ML workloads, particularly in Kubernetes-based environments. The ideal candidate will have deep expertise in Kubernetes orchestration and GPU management, as well as a solid understanding of how these address AI/ML operations at scale. Key Responsibilities Kubernetes Orchestration & Resource Management: Serve as the subject matter expert for Kubernetes and container orchestration. Guide customers through the design and deployment of Kubernetes clusters tailored for AI/ML use cases, helping them effectively manage workloads through Run:AI. Ensure optimal resource allocation, including GPU sharing, node management, and job scheduling across clusters. Cluster Monitoring & Optimization: Monitor and tune Kubernetes clusters to ensure they are optimized for AI/ML workloads. Provide support on managing Kubernetes autoscaling, resource quotas, and performance monitoring of distributed ML models running on Kubernetes clusters via the Run:AI platform. GPU Troubleshooting and Incident Response: Diagnose and resolve complex issues regarding dependencies between GPU drivers and software, Nvidia toolkit errors, or GPU component failure. Run:AI Platform Support: Provide expert support for the Run:AI platform, assisting customers with the deployment, configuration, and management of Kubernetes clusters that handle AI/ML workloads. This includes setting up the platform, configuring resource pools (GPU, CPU), and optimizing Kubernetes namespaces to ensure proper orchestration of workloads. Workload Optimization on Kubernetes: Assist customers in optimizing dynamic resource allocation for their AI/ML workloads by utilizing the Run:AI scheduler in conjunction with Kubernetes’s native tools. Help manage job preemption, scheduling priorities, and horizontal scaling of workloads across clusters. Kubernetes Troubleshooting & Incident Response: Diagnose and resolve complex issues related to Kubernetes cluster management, including pod failures, node connectivity issues, and namespace misconfigurations. Provide support in handling incidents such as job contention, GPU misallocation, and failed containerized workloads, ensuring smooth operation across the entire Kubernetes environment. Integration Support: Help customers integrate Run:AI into their existing Kubernetes-based ML infrastructure. Ensure seamless operation of AI/ML pipelines, covering data flow, distributed training, and model deployment. Troubleshoot issues arising from the interaction between Run:AI, Kubernetes, and other ML tools (e.g., TensorFlow, PyTorch, Kubeflow). Security and Best Practices in Kubernetes: Advise customers on security best practices for Kubernetes clusters handling sensitive ML workloads, such as secure pod communications, role-based access control (RBAC), and resource isolation for multi-tenant clusters. Ensure Kubernetes and containerized environments are secure and compliant with organizational policies. Collaboration with HQ: Work closely with the engineering and product teams in HQ, providing feedback on Kubernetes-related issues, cluster optimization features, and improvements to the Run:AI platform. Escalate complex issues and contribute to ongoing platform development. Training & Documentation: Develop training materials and deliver technical workshops on using Run:AI in Kubernetes environments. Maintain up-to-date documentation on best practices for configuring and managing Kubernetes clusters for AI/ML workloads, focusing on high availability, performance, and security. Minimum Qualifications: • 4+ years of IT-related work experience with a Bachelor’s degree. OR • 7+ years of IT-related work experience without a Bachelor’s degree. Physical Requirements: • Frequently transports and installs equipment up to 20 lbs. Requirements: 3+ years of experience in technical support roles with strong expertise in Kubernetes administration, container orchestration, and AI/ML workload management. 1+ year of general GPU administration, addressing issues with driver conflicts, hardware failures, and performance issues. In-depth knowledge of Kubernetes (CKA or CKAD certification highly preferred), including core components like Kubelet, Kube-API, Kube-scheduler, and etc. Proficiency in Kubernetes resource management (e.g., CPU/GPU allocation, pods, services, and namespaces) and troubleshooting common Kubernetes issues in production environments. Experience with configuration management tools (Puppet, Chef, Ansible) and Kubernetes management platforms like Rancher a plus. Experience with Run:AI platform or similar tools for ML workload optimization (e.g., Kubeflow, MLFlow, Slurm) in Kubernetes environments. Hands-on experience with Docker and containerized environments for AI/ML operations, including distributed training, scaling, and deployment. Strong understanding of ML frameworks (e.g., TensorFlow, PyTorch) and how they interact with Kubernetes clusters for model training and deployment. Excellent analytical, communication, and problem-solving skills. Ability to manage priorities in a fast-paced environment and collaborate within a matrix organization. Where you will be working: Cork has a proud reputation as Ireland’s second largest economic engine and is now one of the Top 20 location choices in Europe with 39,000 people being employed by over 170 overseas companies. There’s a growing diversity in the region with people from many nationalities relocating to Cork, relishing the opportunity to work and live in a location that offers an excellent quality of life. A gateway to Europe, Cork airport provides access to almost 50 international destinations including transatlantic air routes. Equal Opportunities: We are an Equal Opportunity employer; all qualified applicants will receive consideration for employment without regard to race, colour, religion, sexual orientation, gender identity, national origin, disability, veteran status, or any protected classification. What’s on Offer: Apart from working in an open, relaxed and collaborative space, you will enjoy: • Salary, stock and performance related bonus • Maternity/Paternity Leave • Employee stock purchase scheme • Matching pension scheme • Education Assistance • Relocation and immigration support (if needed) • Life, Medical, Income and Travel Insurance • Subsidised memberships for physical and mental well-being • Bicycle purchase scheme • Employee run clubs, including, running, football, chess, badminton + many more • References to a particular number of years experience are for indicative purposes only. Applications from candidates with equivalent experience will be considered, provided that the candidate can demonstrate an ability to fulfill the principal duties of the role and possesses the required competencies. Applicants: Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail or call Qualcomm’s toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers. #J-18808-Ljbffr
Senior & Staff Machine Learning Scientist My client, an AI software firm building a complete, AI-driven customer service platform, is looking to hire exceptional engineers to join their Machine Learning team in Dublin, Ireland. This team is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes into customers’ hands. An extremely product-focused team, they work in partnership with Product & Design functions of teams they support. The team’s dedicated ML product engineers enable them to move to production fast, often shipping to beta in weeks after a successful offline test. They are very passionate about applying machine learning technology, and have productized everything from classic supervised models, to cutting-edge unsupervised clustering algorithms, to novel applications of transformer neural networks. They test and measure the real customer impact of each model deployed. What will you be doing? Identify areas where ML can create value for customers Identify the right ML framing of product problems Working with teammates and Product & Design stakeholders Conduct exploratory data analysis and research Deeply understand the problem area Research and identify the right algorithms and tools Being pragmatic, but innovating right to the cutting edge when needed Perform offline evaluation to gather evidence an algorithm will work Work with engineers to bring prototypes to production Plan, measure & socialize learnings to inform iteration Partner deeply with the rest of team, and others, to build excellent ML products What skills might you need? These are meant to be indicative, not hard requirements. Broad applied machine learning knowledge Senior – 5+ years’ applied ML experience Staff – 7+ years’ applied ML experience Practical stats knowledge (experiment design, dealing with confounding, etc.) Intermediate programming skills Strong communication skills, both within engineering teams and across disciplines Comfort with ambiguity Typically have advanced education in ML or related field (e.g. MSc) Scientific thinking skills Bonus skills & attributes Track record shipping ML products PhD or other experience in a research environment Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful. Contact If this sounds like you, or you’d like more information, please get in touch: George Hutchinson-Binks (+44) 07885 545220 linkedin.com/in/george-hutchinson-binks-a62a69252 Job ID: unDp1IMYKHl2 About Company Oxford Knight London, United Kingdom 38 Employees HR & Recruitment Welcome to Oxford Knight! We are dedicated International recruiters. We assist leading technologists and finance professionals into high-end roles. #J-18808-Ljbffr
