Fulltime NLP Engineer openings in Seattle, United States on September 15, 2022

AI/ML – NLP and CV Machine Learning Engineer – Siri Understanding at Apple

Location: Seattle

Summary

Posted:
Mar 16, 2022

Role Number:200357499

Play a part in the next revolution in human-computer interaction. Contribute to a product that is redefining mobile computing. Create groundbreaking technology for large scale systems, spoken language, computer vision, big data, and artificial intelligence.

Research in Natural Language, Computer Vision and Machine Learning has already made a deep impact in Apple’s front-line products, such as Siri.

Research Scientists at Siri are taking this a step further by making Siri more aware of its digital and physical environment, redefining artificial intelligence, and creating groundbreaking technology for natural language processing, computer vision, machine learning, and large scale systems.

Come join the Siri team, and work with the people who created the intelligent assistant that helps millions of people get things done — just by asking.
Key Qualifications
Expertise and experience in various facets of machine learning, computer vision and natural language processing, such as deep learning, unsupervised/semi supervised learning, feature engineering and object detection
Programming experience in one or more of the following: Swift, C++, Python or equivalent
Familiar with one or more deep learning libraries, like PyTorch or TensorFlow
Hardworking, self-starter, shown ability to manage numerous projects to strict deadlines.
Excellent interpersonal skills and ability to get along with all levels of engineers
Description

The goal of the Siri team is to take Apple’s voice assistant to the next level of intelligence and accuracy using advanced machine learning techniques.

From improving core modeling algorithms to creating experiments and implementing prototypes rapidly, you would work on newer challenges every day, specifically focussing on the grounding of Natural Language Understanding in Visual Context.
You would also work on building scalable distributed systems to deliver these models to Siri’s users.

This position involves a wide variety of skills and innovation, and is a rare opportunity that sits at the cutting-edge of machine learning and software engineering.
Ultimately, your work would have a huge impact on hundreds of millions of users across the globe
Education & Experience
Masters or PhD in Computer Science with a specialization in CV or NLP
Additional Requirements
Apply Here
For Remote AI/ML – NLP and CV Machine Learning Engineer – Siri Understanding roles, visit Remote AI/ML – NLP and CV Machine Learning Engineer – Siri Understanding Roles

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AI/ML – Machine Learning Engineer (NLP), Siri and Language Technologies at Apple

Location: Seattle

Posted: Jul 8, 2022
Weekly Hours: 40
Role Number:200380760
Apple products and Siri work together beautifully to create amazing experiences. Supporting more languages and dialects than ever, we’re driving the way people and devices interact. Through groundbreaking innovation Siri is always learning how to do more and at the heart of this is Natural Language Understanding. Bring your passion to Apple and help continue this work. As a Machine Learning engineer you will experiment and build new algorithms for implementing conversational dialogue with the overall goal of making Siri more intelligent. Working alongside leading scientific minds, you’ll develop the next generation of Siri. This position can be located in Seattle, WA or Cambridge, MA
Key Qualifications
Familiar with state of the art NL processing models
Machine learning fundamentals
Software engineering skills
Understand large-scale machine learned systems
Publications in recognised NLP and/or machine-learning conferences

Working as part of an extraordinary team including hardworking software engineers and specialist machine learning practitioners, we are passionate about applying groundbreaking techniques to natural language processing. There are many difficult problems for us to solve, so we’re open to new insights and ways of thinking. We offer the opportunity to implement machine learning at scale and tackle all the complexities involved in taking research work through to production. You will love the resources at Apple. Huge compute grids, top-quality machine learning tools, and large quantities of data will help you improve user facing features. Day to day you will develop new NLP components and prototype solutions within the Siri system. You will provide technical expertise as well as direct hands-on contributions to model design, evaluation and reporting of scientific results. However you contribute, our goal is to make a real difference to the lives of Siri users. If this is you, we’d love to hear from you.
Education & Experience
MSc or PhD in Machine Learning or a related topic (or equivalent practical experience)
Additional Requirements
Apply Here
For Remote AI/ML – Machine Learning Engineer (NLP), Siri and Language Technologies roles, visit Remote AI/ML – Machine Learning Engineer (NLP), Siri and Language Technologies Roles

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Machine Learning Scientist – NLP & Recommender Systems – Sr. Associate / Vice President / Executive at JPMorgan Chase & Co.

Location: Seattle

Machine Learning Scientist – NLP & Recommender Systems – Associate / Vice President / Executive Director

The Machine Learning Center of Excellence is a world-class machine learning team continually advancing state-of-the-art methods to solve a wide range of real-world financial problems using the company’s vast and unique datasets.

The successful candidate will apply sophisticated machine learning methods to a wide variety of complex tasks including natural language processing, speech analytics, time series, reinforcement learning and recommendation systems. The candidate must excel in working in a highly collaborative environment together with the business, technologists and control partners to deploy solutions into production. The candidate must also have a strong passion for machine learning and invest independent time towards learning, researching and experimenting with new innovations in the field. The candidate must have solid expertise in Deep Learning with hands-on implementation experience and possess strong analytical thinking, a deep desire to learn and be highly motivated.

Strategically positioned in the Chief Technology Office, our work spans across all of J.P. Morgan’s lines of business including Corporate & Investment Banking, Asset Wealth Management, Consumer & Community Banking, through every part of the organization from front office sales and trading, through to operations, technology, finance and more. With this unparalleled access to the firm, the role offers a unique opportunity to explore novel and complex challenges that could profoundly transform how the bank operates.

Responsibilities
• Research and explore new machine learning methods through independent study, attending industry-leading conferences, experimentation and participating in our knowledge sharing community
• Develop state-of-the art machine learning models to solve real-world problems and apply it to tasks such as NLP, speech recognition, time-series predictions or recommendation systems
• Collaborate with multiple partner teams such as Business, Technology, Product Management, Legal, Compliance, Strategy and Business Management to deploy solutions into production
• Drive Firmwide initiatives by developing large-scale frameworks to accelerate the application of machine learning models across different areas of the business

Minimum Qualifications
• [ED]: PhD in a quantitative discipline, e.g. Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science, with at least five years of industry or research experience in the field. Or an MS with at least eight years of experience.
• [VP]: PhD in a quantitative discipline, e.g. Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science. Or an MS with at least three years of industry or research experience in the field.
• [Assoc]: MS in a quantitative discipline, e.g. Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science
• Solid background in personalization/recommendation, speech recognition or NLP
• Hands-on experience and solid understanding of machine learning and deep learning methods
• Extensive experience with machine learning and deep learning toolkits (e.g.: TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas)
• Scientific thinking and the ability to invent
• Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals
• Experience with big data and scalable model training
• Solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences
• Curious, hardworking and detail-oriented, and motivated by complex analytical problems
• Ability to work both independently and in highly collaborative team environments

Beneficial Skills
• Strong background in Mathematics and Statistics
• Familiarity with the financial services industries
• Knowledge in personalized contents, recommender systems, and search/ranking
• Experience with A/B experimentation and data/metric-driven product development
• Experience with cloud-native deployment in a large scale distributed environment
• Knowledge in Reinforcement Learning or Meta Learning
• Published research in areas of Machine Learning, Deep Learning or Reinforcement Learning at a major conference or journal
• Ability to develop and debug production-quality code
• Familiarity with continuous integration models and unit test development
Apply Here
For Remote Machine Learning Scientist – NLP & Recommender Systems – Sr. Associate / Vice President / Executive roles, visit Remote Machine Learning Scientist – NLP & Recommender Systems – Sr. Associate / Vice President / Executive Roles

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AI/ML – ML Scientist (NLP/Speech), Siri and Language Technologies at Apple

Location: Seattle

Summary

Posted:
Jul 27, 2022

Weekly Hours: 40

Role Number:200345410

Play a part in the next revolution in human-computer interaction. Contribute to a product that is redefining mobile computing. Create groundbreaking technology for large scale systems, natural language, big data, and artificial intelligence.

And work with the people who created the intelligent assistant that helps millions of people get things done — just by asking.
Join the Siri Text-to-Speech (TTS) Engineer team at Apple.

The Siri team is looking for exceptional engineers passionate about delighting customer’s experience, by producing cutting edge applications and technologies.

The AI/ML – Siri Text-to-Speech (TTS) team is looking for exceptional Machine Learning Engineers passionate about delivering delightful customer experiences with Siri voices.

The opportunities include developing a cutting edge run-time system, pushing the envelope on machine learning based natural language processing in TTS and deploying AI/ML models to benefit millions of users.
Key Qualifications
Strong expertise in C++ and Python
Experience in natural language processing/machine translation/text-to-speech
Experience in deploying user-facing machine learning systems in production
Knowledge of machine learning techniques and hands-on experience with ML toolkits like TensorFlow or PyTorch is a plus
Outstanding spoken and written communication skills
Highly-motivated, creative, organized and a strong problem solver
Description

You will be a part of a cross-functional team that has ambitious goals of enabling our customers to use Siri voices in several languages.

You will be responsible for a wide variety of research and development activities in natural language processing, text-to-speech including rapid prototyping, optimizing inference on current and future Apple platforms and building large-scale, distributed systems.

We are looking for ML engineers who can envision end-to-end solutions and collaborate with designers, ML researchers and system engineers to bring research ideas to production.

To succeed in this role, you should be an excellent programmer and a creative problem solver, who enjoys learning new things, improving existing processes, and contributing to overall system design.
You should also be a phenomenal teammate who thrives in a dynamic environment with rapidly changing priorities.
Education & Experience
M.S. or PhD in natural language processing/machine learning/speech or Computer Science related field or equivalent work experience.
Additional Requirements
Apply Here
For Remote AI/ML – ML Scientist (NLP/Speech), Siri and Language Technologies roles, visit Remote AI/ML – ML Scientist (NLP/Speech), Siri and Language Technologies Roles

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Applied Scientist – NLP at Services LLC

Location: Seattle

• PhD or equivalent Master’s Degree plus 4+ years of experience in CS, CE, ML or related field
• Experience programming in Java, C
• Python or related language
• Proficiency in model development, model validation and model implementation.
• 2+ years hands on experience programming in Python, Java, C#, C
• or other similar programming languages
• Hands on experience with scripting languages such as Python, Perl
• Do you want the excitement of experimenting with cutting edge machine learning, natural language processing, computer vision, and active learning models to solve real world problems at scale?
• Imagine experimenting with Deep Neural Networks as your daily job and imagine using your model outputs to affect the product discovery of the biggest e-tailer in the world.
• Imagine leading research inside of an Amazon team that is always looking to deploy creative solutions to real world problems in product discovery.
• Your research findings are directly related to Amazon’s Browse and Search experiences and impact millions of customers, ingesting images, text and all the structured and unstructured attributes in the Amazon catalog to drive true understanding of products at scale.
• The Amazon Product Classification and Inference Science team is seeking an Applied Scientist for developing ML systems that can help classify Amazon products into our catalog, infer product attribute values and build new experiences for improving customer discovery of products.
• You will be part of Product Classification and Inference Science team consisting of experienced Applied Scientists working on a new set of initiatives, building models and delivering them into the Amazon production ecosystem.
• Your efforts will build a robust ensemble of ML systems that can drive classification and attribute inference for products with a high precision and recall, and scale to new marketplaces and languages.
• This problem is challenging due to sheer scale (billions of products in the catalog), diversity (products ranging from electronics to groceries to instant video across multiple languages) and multitude of input sources (millions of sellers contributing product data with different quality).
• We are looking for an experienced Scientist who can develop best in class solutions.
• Your primary customers are Amazon shoppers who would thank you for correctly identifying products and filling attributes in our catalogs across countries and languages.
• The ideal Applied Scientist candidate has deep expertise in one or several of the following fields: Web search, Applied/Theoretical Machine Learning, Deep Neural Networks, Classification Systems, Clustering, Label Propagation, Natural Language Processing, Computer Vision, Graph Neural Networks, Generative Models, Active learning, and Artificial Intelligence.
• S/he has a strong publication record at top relevant academic venues and experience in launching products/features in the industry.
• Amazon Science gives you insight into the company’s approach to customer-obsessed scientific innovation.
• Amazon fundamentally believes that scientific innovation is essential to being the most customer-centric company in the world.
• It’s the company’s ability to have an impact at scale that allows us to attract some of the brightest minds in artificial intelligence and related fields.
• Our scientists continue to publish, teach, and engage with the academic community, in addition to utilizing our working backwards method to enrich the way we live and work.
• Please visit for more information.
• PhD in Computer Science (Machine Learning, AI, Statistics, Electrical Engineering or equivalent);
• Experience using Java, C
• or other programming language, as well as with R, MATLAB, Python or similar scripting language;
• Experience distilling informal customer requirements into problem definitions, dealing with ambiguity and competing objectives
• Experience delivering systems into production with high precision.
• More than 4 years of industrial/academic experience in building classification models
• Extensive practical experience in several of the following areas: ML, Natural Language Processing, Recommendation Systems, Clustering techniques, applied ML or AI features/products/systems
• Ability to handle multiple competing priorities in a fast-paced environment
• Significant peer reviewed scientific contributions in premier journals and conferences
• Proven track record of production achievements, handling gigabyte and terabyte size datasets
• Strong personal interest in learning, researching, and creating new technologies with high customer impact
• Experience with defining research and development practices in an applied environment;
• Proven track record in technically leading and mentoring scientists;
• Superior verbal and written communication and presentation skills, ability to convey rigorous mathematical concepts and considerations to non-experts.
• Strong fundamentals in problem solving, algorithm design and complexity analysis
Apply Here
For Remote Applied Scientist – NLP roles, visit Remote Applied Scientist – NLP Roles

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AI/ML – Machine Learning Engineer – Siri and Language Technologies at Apple

Location: Seattle

Summary

Posted:
Mar 16, 2022

Role Number:200357271

Do you want to leverage your ML skills and NLP domain knowledge to play an important role in the next revolution of Natural Language Understanding/Conversational AI? Would you like to join the team that’s creating groundbreaking conversational assistant technologies that already helps millions of people get things done on daily bases? Join the Siri Experience team at Apple
Key Qualifications
5 years of professional work experience applying machine learning to real-world problems, and crafting scalable and effective data solutions.
Excellent programming skills in Python or Scala
Excellent data analytical skills. Strong attention to detail. Proven track record to dive into data to discover hidden patterns and conduct error/deviation analysis
Excellent problem solving, critical thinking, and communication skills.
Good domain knowledge in at least one of the following: NLP, information retrieval, data mining
Good experience with Big Data systems such as Hadoop, Spark, Hive,.etc
Good knowledge in statistical methods such as Bayesian Statistics
Passion for continuing to learn state-of-the-art techniques in ML/Data science
Description

As a Machine Learning Engineer within Language Technologies you will define new approaches for evaluating ML based systems, conversational AI, and model interpretability.

You will run experiments, statistically interpret data with a mind on causation, data visualization, plus designing, building, and evaluating models.
You will work with large amounts of real-world data to analyze and propose changes to Siri user experience. You will ensure data quality throughout all stages of acquisition and processing, data wrangling, etc.

Your expertise in defining and measuring the online and offline end-to-end metrics will help communicate, evaluate, and iterate on state-of-the-art deployed models and predictors.

This position offers the right person a chance to play an important role in the next revolution in machine learning and Natural Language Understanding/Conversational AI.
You will contribute to a product that is redefining computing.

You will be part of a team that’s crafting groundbreaking conversational assistant technologies for both large scale systems and new client devices.

You will work with the people who built the intelligent assistant that already helps millions of people get things done.

This is a fast-paced role with high visibility, impact, and ensures we build the most advanced AI systems in the industry.
Education & Experience
BS/MS or Ph.
D in Computer Science or related field
Additional Requirements
Apply Here
For Remote AI/ML – Machine Learning Engineer – Siri and Language Technologies roles, visit Remote AI/ML – Machine Learning Engineer – Siri and Language Technologies Roles

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AI/ML – Machine Learning Engineer (TTS), Siri and Language Technologies at Apple

Location: Seattle

Summary

Posted:
Jul 1, 2022

Weekly Hours: 40

Role Number:200337255

Play a part in the next revolution in human-computer interaction on all of Apple’s Platforms; iOS, watchOS, macOS, and tvOS.

Contribute to a product that is redefining mobile computing, and work with the people who built the intelligent assistant that helps millions of people get things done—just by asking.
Join the Siri Text-to-Speech team at Apple.

The Siri Text-to-Speech team is looking for outstanding Software Engineers passionate about machine learning, and unlocking the full potential of these techniques, by building a framework for efficient experimentation and reliable delivery of production models.
Key Qualifications
At least 4 years experience in software development and machine learning
Strong skills in software design, coding, and unit testing
Experience with training machine learning models
Extensive experience in Python
Proficiency with TensorFlow, PyTorch
Outstanding communication skills
Experience in machine learning for NLP, machine translation or speech preferred
Description

We are looking for a talented software engineer who is passionate about machine learning, and excited to deliver software and services used by millions of people every day.
Our software engineers are creative, inspired, innovative, energetic, self-motivated people who love making and shipping products.

Are you one of us? You will be responsible for understanding the needs of the modeling teams, and creating robust scripts and systems that meet those needs.
This includes features like distributing training across multiple GPUs, automating hyper-parameter exploration, simplifying optimization, and facilitating testing.

To succeed in this role, you must be a strong programmer and a creative problem solver who thrives in a fast-paced environment, working across teams and organizations.
You enjoy learning new things and creating life-changing applications.
Education & Experience
• Masters in Computer Science or related field, or equivalent experience
Additional Requirements
Apply Here
For Remote AI/ML – Machine Learning Engineer (TTS), Siri and Language Technologies roles, visit Remote AI/ML – Machine Learning Engineer (TTS), Siri and Language Technologies Roles

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AI/ML – Software Engineer, Siri and Language Technologies at Apple

Location: Seattle

Summary

Posted:
Jun 13, 2022

Weekly Hours: 40

Role Number:200379594

Do you want to play a part in building a groundbreaking technology for large scale systems, natural language, big data, and artificial intelligence? Are you looking to improve the user experience of AI/ML products that help millions of users get things done, across the globe? Join the ML Systems Evaluation Engineering (ML SEE) team at Apple Join the highly accomplished team which designs and builds platforms and evaluation methodologies supporting machine learning systems such as Siri.

You will design and implement new algorithms and techniques for working with ML models, and collaborate with the most innovative product development teams in the world.

We build evaluation tools, infrastructure and methodologies that enable product teams across Apple to develop machine-learning solutions that power amazingly intelligent user experiences.

You will engage with exciting new-product teams around Apple, bringing your expertise and passion for innovation to solving technical problems for our next-generation products that will delight millions of people.

Learn more below You will drive the quality of AIML products and collaborate with the most innovative product development teams in the world.

This team designs and builds evaluation tools, automation frameworks and methodologies that enable product teams across Apple to develop machine-learning solutions that power amazingly intelligent user experiences.

You will engage with exciting new-product teams around Apple, bringing your expertise and passion for innovation to solving technical problems for our next-generation products.
Key Qualifications
6 or more years of professional experience

Programming language:
Java, C++, Swift, Objective C, Python, or Scala
Extensive experience working across organization verticals and participating in cross-functional partnerships.
Shown ability to implement new technical expertise on-the-job and work independently to learn new technologies.
Excellent understanding of an ML-based product lifecycle.
In-depth knowledge and application of statistics-based evaluation methodologies or user success metrics.
Experience with systems engineering; in-depth understanding of interdependencies of ML and SW components.
Experience designing and implementing large-scale data and compute intensive pipelines and/or tools.
Ability to develop long-term vision and implement strategies at scale.
Description
As the design owner, you will drive or participate in a number of solutions required to deliver successful AIML products

These include:

the design of platforms and methodologies for simulation and evaluation of user experiences for ML based products; evaluation of personalization; optimization of accuracy vs cost; scalability across locales; trade-offs between product success metrics, in particular under constraints of on-device ML models performance.

This role provides a senior-level guidance spanning the full cycle; from design, implementation, to feedback and iteration on systems, frameworks and evaluation methodologies developed for the AIML teams.

Equally, this role will participate in AIML products roadmap decisions, providing insights and recommendations derived from the deep understanding of the current success metrics of AIML products.
Education & Experience
MS/PhD in Computer Science, Machine Learning or related field
Additional Requirements
Apply Here
For Remote AI/ML – Software Engineer, Siri and Language Technologies roles, visit Remote AI/ML – Software Engineer, Siri and Language Technologies Roles

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AI/ML – Software Engineer, Siri and Language Technologies at Apple

Location: Seattle

Summary

Posted:
Aug 8, 2022

Weekly Hours: 40

Role Number:200400962

The team at Apple doesn’t just build products — they build the kind of wonder that’s revolutionized entire industries.

It’s the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts.
Join Apple, and help us leave the world better than we found it. Imagine what you could do here. Siri lives at the intersection of high scale and leading edge technology.

Each of Siri’s billions of weekly requests need to be understood, parsed, and executed in real time covering a scope of thousands of features in more than 30 locales on every Apple device category.

Siri’s Audio Experience Team is responsible for the engineering and continued enjoyment of Siri’s customer facing features for audio content.
Be ready to make something great when you come here. Dynamic, inspiring people and innovative, industry-defining technologies are the norm at Apple. The people who work here have reinvented and defined entire industries with our products and services.

The same passion for innovation also applies to our business practices – strengthening our commitment to leave the world better than we found it.
You should join the Siri Audio Experience team if you want to help deliver the next amazing Apple product.

We are looking for an experienced software engineer who wants to bring their passion for building incredible products to deliver the next generation of voice assistant technology to hundreds of millions of customers worldwide.

An ideal candidate will have a proven track record of delivering high quality products and will be a perfect fit in our team.
Our growing team combines strong technical skills, product vision, and an exciting mission.
Key Qualifications
3 years of software engineering experience, or equivalent
Strong Computer Science fundamentals, including familiarity with data structures.
Proven object-oriented programming and design skills.
Excellent problem solving, critical thinking, and communication skills.
Description
The Siri team is looking for someone with a combination of strong programming skills and a creative, user-focused mindset.

As a member of the Siri Audio Experience team, you will make Siri the best way to play, discover, and interact with the audio content that users love.
You will collaborate with Apple’s design team to build exceptional user-facing features for music, podcasts, and audiobooks.

You will be an outstanding teammate who can collaborate with engineers in several technical areas who have built the entire range of Siri’s user facing capabilities.
You should be able to thrive in a fast-paced environment with rapidly changing priorities.

Specific responsibilities include:
• Building features that drive intelligent user assistance for audio content in first and third party applications, across all Apple devices.
• Working with our platform team to define infrastructure interfaces.
• Crafting a world-class user experience by partnering with Apple’s design and product teams.
• Collaborating with international teams to support the Siri experience in multiple regions and languages.
Education & Experience
BS/MS in Computer Science or equivalent
Additional Requirements
Experience with AI technologies including natural language processing and machine learning
In-depth development experience with Swift, Objective-C, Go, or similar languages.
Apply Here
For Remote AI/ML – Software Engineer, Siri and Language Technologies roles, visit Remote AI/ML – Software Engineer, Siri and Language Technologies Roles

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Applied Scientist – NLU at Services LLC

Location: Seattle

• M.S. or Ph. D. in Machine Learning/NLP, Statistics, Computer Science or a similar field
• Experience with , R, Matlab or a similar programming language
• Track record of bringing state-of-the-art techniques into production
• Excellent written and verbal communication skills for both technical and non-technical audiences
• Demonstrated ability to quickly learn and apply new programming languages, tools, frameworks, and state-of-the-art techniques
• At Amazon we strive to be earth’s most customer centric company and is a foundational component to making this happen.
• Are you curious about new platforms and technologies and have a desire to deliver world-class customer service?
• Are you excited by the idea of owning a problem and innovating on behalf of customers?
• Can you deal with ambiguity and keep up with the pace of a company whose cycles are measured in weeks, not years?
• The Digital, Device & Alexa Support – Science & Analytics team is seeking an Applied (NLU) to develop cutting-edge machine learning and NLP solutions to understand customer issues and better provide customer service.
• You will be responsible for researching and implementing innovative solutions that help Amazon provide the best possible customer service experience.
• We are looking for individuals with a passion for learning, researching, and deploying new technologies in a highly collaborative environment.
• We like to move fast, experiment, iterate and scale quickly, while thoughtfully balancing speed and quality.
• If you have experience with two or more of the following
• · Research and implementation of multi-turn task-oriented dialogue systems
• · Natural Language Understanding / Spoken Language Understanding
• · Information Retrieval, Question Answering, Semantic Representation
• · Zero-shot or Few-shot Learning
• · Crowdsourced NLU annotation best practices
• · Reinforcement Learning (preferably in an NLP application)
• · Computational Linguistics
• · Large scale text classification
• then we want to hear from you!
• Drive collaborative research and creative problem solving
• Apply scientific concepts to real-world business problems
• Create experiments and prototype implementations of new learning algorithms and prediction techniques
• Collaborate with engineering teams to design and implement software solutions for science problems
• Constructively critique peer research and mentor junior s and engineers
• Experience in Natural Language Understanding / Natural Language Processing
• Working knowledge / experience with task oriented dialog systems
• Track record of working with very large and complex real-world sets
• Experience in mining using , ETL, warehouse, etc.
• Comfortable with version control (e.g. git) in a collaborative environment
• Demonstrated research and development best practices in a team setting
Apply Here
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