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What you will accomplish:
An opportunity to work on cutting-edge research in Recommendations, NLP and deep learning, making significant contributions to the field and real-world applications.
A collaborative and supportive work environment where innovation and creativity are encouraged.
Access to state-of-the-art resources and tools to support your research and development work.
A culture that values diversity, inclusion, and the professional growth of its members.
Competitive compensation and benefits package, tailored to attract the best talent in the field.
What you will bring:
Education: Ph.D. or M.S. in Computer Science, Statistics, Mathematics, or a related field with a focus on machine learning or data science.
Experience: Experience in applied research or development of machine learning models, data analysis, preferably with the advertising industry or a closely related field, i.e. search, recommender system and NLP.
Technical Proficiency: Strong programming skills in Python, Scala, or similar languages. Expertise in machine learning frameworks (e.g., TensorFlow, PyTorch) and experience with big data technologies (e.g., Hadoop, Spark).
Analytical Skills: Outstanding ability to analyze large datasets, and derive actionable insights. Expertise in data mining and segmentation.
Communication: Excellent verbal and written communication skills, with the ability to convey sophisticated technical concepts to non-technical partners.
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We are seeking a highly skilled and motivated Applied Researcher with expertise in Natural Language Processing (NLP) and Large Language Models (LLMs). In this role, you will focus on developing and deploying deep learning models that empower our buyers and sellers, including areas such as LLM post-training (instruction tuning, alignment), and scalable deployment. Working closely with research scientists and cross-functional engineers, you will translate cutting-edge algorithms into production-ready features that create measurable impact in our products and services.
What you will accomplish:
Design, develop, and deploy advanced machine learning algorithms, with a focus on NLP/LLM.
Work closely with cross-functional teams to integrate machine learning solutions into our products and platforms.
Conduct research on the latest technologies and methodologies in NLP and LLMs to drive innovation within the team.
Collaborate with data engineers and scientists to preprocess, clean, and structure large datasets for model training and evaluation.
Implement best practices in model development, validation, testing, and deployment to ensure high-quality and scalable solutions.
Stay abreast of industry trends and advancements in AI, machine learning, and NLP to continuously improve our capabilities.
What you will bring:
Master's degree or PhD in Computer Science, Engineering, Mathematics, or a related field.
Proven experience in machine learning, with a strong emphasis on NLP and LLMs (experience with instruction tuning and alignment is a major plus).
Proficiency in programming languages such as Python and C++ and frameworks like PyTorch, TensorFlow, or similar.
Solid understanding of machine learning algorithms, model architecture, training techniques, and building performant inference pipelines. Experience with model inference optimization techniques and libraries is a plus.
Experience with data preprocessing, feature engineering, model evaluation metrics and large scale data processing framework like SPARK.
Excellent analytical and problem-solving skills and the ability to work in a fast-paced, dynamic environment.
Strong communication and collaboration skills, with the ability to explain complex technical concepts to non-technical collaborators, come up with creative solutions, and help with tracking and delivering within the release plan
Publication record in top AI conferences/journals is a big plus
What we offer:
An opportunity to work on cutting-edge research in NLP and deep learning, making significant contributions to the field and real-world applications.
A collaborative and supportive work environment where innovation and creativity are encouraged.
Access to state-of-the-art resources and tools to support your research and development work.
A culture that values diversity, inclusion, and the professional growth of its members.
Competitive compensation and benefits package, tailored to attract the best talent in the field.
These jobs might be a good fit

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These jobs might be a good fit

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What you will accomplish:
Native iOS app development and converting ideas, designs and requirements to concrete stable production builds. Understand and implement iOS specific design patterns.
Develop and iterate within a rather lean, yet very fast-paced Engineering team.
Attracting, recruiting, hiring, and retaining a team of native iOS engineers.
Growing your team through coaching, mentoring, and consistent one-on-one conversations.
Leading agile development processes, including planning, implementation, testing, demos, and retrospectives for your team.
Getting into the details, investigating issues, writing code, performing code reviews, and prototyping new solutions.
Providing expert feedback for code quality, performance, scalability, system architecture, and engineering methodologies.
Collaborating effectively with product development and engineering teams across multiple domains and multiple geographies.
Focusing on continuous improvement in our practices, driven from the ground up. We will expect you to advocate for improvements in code and culture, and to support your team in the same.
Manage a small team of iOS engineers.
What you will bring:
Your passion for engineering, quality, agility and more.
10+ years proven experience in designing, building, refactoring and releasing rich client software using industry standard patterns.
Experience with iOS XCode, Swift, Swift UI, debuggers (e.g. Charles), revision control systems (e.g. Git) and bug tracking (e.g. Jira). TCA is a plus
Experience in integration with backend APIs (REST/GraphQL)
Proven ability to lead the development of multiple features of an application and coordinating cross-team consensus and delivery of a product release.
Experience with TDD, pairing, code reviews, and other techniques to maintain high-quality code and resiliency.
Advocacy of automated testing, continuous delivery, and software quality across the software development life cycle.
Proven track record in successfully delivering large scale enterprise-wide solutions, from design to development to testing to production.
Be open to having a few iOS engineers report to you, having people management experience is a plus.
Preferred experience with Swift’s Combine framework: Functional programming, reactive software architecture, decoupled APIs, TCA architecture.
Excellent understanding of S.O.L.I.D principles and the ability to apply them on their day to day software development.
Preferred Master's degree in Computer Science, or Bachelor's degree with equivalent experience.
Experience in Agile/Scrum/Kanban methodologies and working in an agile engineering team.
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Your responsibilities will include:
Team leadership and development
Lead, mentor, and develop a high-performing team within AI and automation delivery
Foster a culture of continuous learning and professional growth through structured upskilling, coaching, and capability-building
Set clear goals and performance expectations, ensuring accountability and high-quality results
Promote collaboration, innovation, and knowledge-sharing within the team and across functions
AI and automation delivery
Drive execution of AI and automation initiatives that support Boston Scientific’s business objectives
Partner closely with stakeholders to identify opportunities, define requirements, and deliver impactful automation solutions
Collaborate with cross-functional teams to ensure alignment on priorities, timelines, and outcomes
Measure and track success metrics to demonstrate business value and scalability
Strategic partnership in AI
Serve as a thought partner to senior leaders, contributing ideas on AI strategy, trends, and best practices
Stay informed on emerging technologies and approaches, assessing their relevance and potential impact on the business
Represent the AI and automation team in business discussions, bridging technical expertise with organizational needs
Support the evolution of Boston Scientific’s AI roadmap and capability maturity
Qualifications:
Required qualifications:
Bachelor’s degree in Computer Science, Engineering, Data Science, Business, or a related field
Minimum of 5 years' experience in AI, intelligent automation (RPA, ML, NLP, etc.), digital transformation, or related fields
Demonstrated ability to deliver impactful AI and automation solutions with measurable business value
Strong collaboration and communication skills, with the ability to influence stakeholders and work across functions
Growth mindset with a focus on continuous learning, upskilling, and developing others
Preferred qualifications:
Master’s degree in a relevant field
Prior experience leading projects, mentoring peers, or informal team leadership
People management experience (direct or indirect)
Passion for emerging technologies and their application in solving business challenges
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About the role:
As a Field Service Technician II at Boston Scientific, you will serve as a trusted technical partner to our customers by installing, maintaining, and servicing Boston Scientific medical systems and devices. This is a hands-on, field-based role that requires strong technical expertise and the ability to solve problems independently.
This position plays a critical role in ensuring customer satisfaction through a consistent commitment to delivering high-quality service. You will manage your own territory and work closely with healthcare providers and patients to support optimal equipment performance, user training, and overall service delivery.
Your responsibilities will include:
Required qualifications:
Preferred qualifications:
Maximum Salary: $ 91416
Compensation fornon-exempt (hourly), non-sales rolesmay also include variable compensation from time to time (e.g., any overtime and shift differential) and annual bonus target (subject to plan eligibility and other requirements).
Compensation forexempt, non-sales rolesmay also include variable compensation, i.e., annual bonus target and long-term incentives (subject to plan eligibility and other requirements).
For MA positions: It is unlawful to require or administer a lie detector test for employment. Violators are subject to criminal penalties and civil liability.
Please be advised that certain US based positions, including without limitation field sales and service positions that call on hospitals and/or health care centers, require acceptable proof of COVID-19 vaccination status. Candidates will be notified during the interview and selection process if the role(s) for which they have applied require proof of vaccination as a condition of employment. Boston Scientific continues to evaluate its policies and protocols regarding the COVID-19 vaccine and will comply with all applicable state and federal law and healthcare credentialing requirements. As employees of the Company, you will be expected to meet the ongoing requirements for your roles, including any new requirements, should the Company’s policies or protocols change with regard to COVID-19 vaccination.
Among other requirements, Boston Scientific maintains specific prohibited substance test requirements for safety-sensitive positions. This role is deemed safety-sensitive and, as such, candidates will be subject to a prohibited substance test as a requirement. The goal of the prohibited substance testing is to increase workplace safety in compliance with the applicable law.
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Purpose Statement:
Povides leadership and technical guidance to Process Development staff through the management of project teams, technology or specialised function. Function leader for the innovation, design, development and implementation of manufacturing processes, procedures, tooling and equipment for the production and transfer of medical devices. Devotes a portion of time to managerial, leadership, and staff development responsibilities.
Job Responsibilities:
Job Requirements:
Candidate required to proses at Bachelor Degree or master's in engineering.
At least 10~12 years of manufacturing and/or process development experience.
These jobs might be a good fit

What you will accomplish:
An opportunity to work on cutting-edge research in Recommendations, NLP and deep learning, making significant contributions to the field and real-world applications.
A collaborative and supportive work environment where innovation and creativity are encouraged.
Access to state-of-the-art resources and tools to support your research and development work.
A culture that values diversity, inclusion, and the professional growth of its members.
Competitive compensation and benefits package, tailored to attract the best talent in the field.
What you will bring:
Education: Ph.D. or M.S. in Computer Science, Statistics, Mathematics, or a related field with a focus on machine learning or data science.
Experience: Experience in applied research or development of machine learning models, data analysis, preferably with the advertising industry or a closely related field, i.e. search, recommender system and NLP.
Technical Proficiency: Strong programming skills in Python, Scala, or similar languages. Expertise in machine learning frameworks (e.g., TensorFlow, PyTorch) and experience with big data technologies (e.g., Hadoop, Spark).
Analytical Skills: Outstanding ability to analyze large datasets, and derive actionable insights. Expertise in data mining and segmentation.
Communication: Excellent verbal and written communication skills, with the ability to convey sophisticated technical concepts to non-technical partners.
These jobs might be a good fit