[Remote] Lead Research Engineer

Note: The job is a remote job and is open to candidates in USA. Kadence is seeking a Lead Research Engineer who will leverage expertise in AI and ML to create innovative solutions for legal, accounting, and government professionals. The role involves providing technical leadership, developing scalable ML solutions, and collaborating with a global team to drive the company’s digital transformation.ResponsibilitiesProvide technical leadership partnering with other engineers to develop and improve methodology and evolve the technology stack by establishing standards and best practices that scaleApplying modern software development practices, you will be involved in the entire software development lifecycle, building, testing and delivering high-quality solutionsYou will create large scale data processing pipelines to help researchers build and train novel machine learning algorithmsYou will develop high performing scalable systems in the context of large online delivery environmentsWorking in a collaborative team-oriented environment, you will share information, value diverse ideas, partner with cross-functional and remote teamsWith a strong sense of urgency and a desire to work in a fast-paced, dynamic environment, you will deliver timely solutionsYou are empowered to try new approaches and learn new technologies. You will contribute innovative ideas, create solutions, and be accountable for end-to-end deliveriesThrough dynamic engagement and communication with cross-functional partners and team members, you will effectively articulate ideas and collaborate on technical developmentsSkillsA Bachelor of Science degree, computer science or related fieldAt least 8 years of software engineering experience, ideally in the context of machine learning and natural language processingExperience leading technical workstreams within a software engineering organizationSkilled and have a deep understanding of Python software development stacks and ecosystems, experience with other programming languages and ecosystems is idealDriving innovation throughout the entire software lifecycle – specify, design, build, scale and maintain Machine Learning systems and capabilities in production environmentsFamiliarity with the Python data science stack through exposure to libraries such as Numpy, Scipy, Pandas, Dask, spaCy, NLTK, scikit-learn, PyTorchTake pride in writing clean, reusable, maintainable and well-tested codeExperience in collaborating with research scientists to evaluate, prototype and productionize research conceptsProficiency in automation, system monitoring, and cloud-native applications, with familiarity in AWS or Azure (or a related cloud platform)Proficiency in system analysis and design & Consider DevOps and automation as fundamental pillars of your workA desire to learn and embrace new and emerging technologyFamiliarity with probabilistic models and an understanding of the mathematical concepts underlying machine learning methodsDemonstrated ability to mentor engineers, elevate team technical practiseExperience integrating Machine Learning solutions into production-grade software with a sound understanding of ModelOps and MLOps principles and the ability to translate between language and methodologies used both in research and engineering fieldsPrevious exposure to Natural Language Processing (NLP) problems and familiarity with key tasks such as Named Entity Recognition (NER), Information Extraction, Information Retrieval, etcHands-on experience in other programming and scripting languages (Java, TypeScript, JavaScript, etc.)Company OverviewKadence - We place elite AI talent at the intersection of science & engineering, from PHD to Executive. It was founded in undefined, and is headquartered in New York, , US, with a workforce of 2-10 employees. Its website is https://kadencetalent.com/.