CrawlJobs Logo

Machine Learning Researcher (NLP)

boeing.com Logo

Boeing

Location Icon

Location:
South Korea , Seoul

Category Icon

Job Type Icon

Contract Type:
Not provided

Salary Icon

Salary:

Not provided
Save Job
Save Icon
Job offer has expired

Job Description:

At Boeing, we innovate and collaborate to make the world a better place. We’re committed to fostering an environment for every teammate that’s welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. Boeing Korea Engineering and Technology Center (BKETC) is seeking a highly skilled and motivated Natural Language Processing (NLP) Machine Learning Researcher to join our cutting-edge research team. As an NLP Machine Learning Researcher, you will play a pivotal role in advancing the field of NLP through innovative research, algorithm development, and the application of machine learning techniques focused on autonomy, aircraft manufacturing, factory digitalization, etc. Your work will have a direct impact on developing state-of-the-art NLP models and systems that address real-world challenges and push the boundaries of language understanding and generation.

Job Responsibility:

  • Conduct groundbreaking research in the field of Natural Language Processing with a focus on machine learning techniques, including but not limited to neural networks, deep learning, transformers, and other advanced models
  • Develop novel algorithms and methodologies for tasks such as text classification, sentiment analysis, named entity recognition, machine translation, text generation, dialogue systems, and more
  • Implement and experiment with state-of-the-art NLP models and techniques, adapting them to specific problem domains and datasets, including autonomous flight, aircraft manufacturing, factory digitalization and etc.
  • Develops ML/DL models operating on our MLOps system that comply with aviation safety requirements
  • Stay current with the latest advancements in NLP and machine learning by actively participating in conferences, workshops, and relevant academic publications
  • Collaborate with cross-functional teams to define research objectives, scope, and methodologies, and contribute to project planning and execution

Requirements:

  • Extensive experience in designing and implementing NLP models using machine learning techniques, including neural networks and deep learning architectures
  • Proficiency in programming languages such as Python, and experience with machine learning libraries (TensorFlow, PyTorch, etc.)
  • In-depth knowledge of NLP fundamentals, including but not limited to word embeddings, attention mechanisms, sequence-to-sequence models, and transformers
  • Strong analytical and problem-solving skills, with the ability to formulate research questions, design experiments, and interpret results
  • Experience with large-scale data processing, distributed computing, and cloud platforms is a plus
  • Excellent communication skills, both written and verbal, with the ability to explain complex technical concepts to both technical and non-technical audiences
  • Proficient in English to effectively collaborate with an international team
  • Master’s degree with at least three years of work experience or Ph.D. degree in Engineering, Computer Science, Math, or Statistics
  • Ph.D. degree with at least two years of work experience in Engineering, Computer Science, Math, or Statistics

Nice to have:

  • Good to have at least an intermediate level of knowledge in server engineering, like resource management on multi-GPUs over multiple servers
  • Good to have at least an intermediate level of knowledge in aviation and commercial flight operations
  • Nice to have field experience in developing and executing manufacturing projects using machine learning techniques to optimize manufacturing processes, reduce downtime, and improve quality
  • Nice to have a winning experience in machine learning or data science competition challenges
  • Nice to have publication records in top-tier machine learning or computer vision conferences
What we offer:
  • Competitive base pay and incentive programs
  • Industry-leading tuition assistance program pays your institution directly
  • Resources and opportunities to grow your career
  • Up to $10,000 match when you support your favorite nonprofit organizations

Additional Information:

Job Posted:
January 06, 2026

Expiration:
January 09, 2026

Employment Type:
Fulltime
Work Type:
On-site work
Job Link Share:

Looking for more opportunities? Search for other job offers that match your skills and interests.

Briefcase Icon

Similar Jobs for Machine Learning Researcher (NLP)

Senior Machine Learning Scientist

Intercom’s Machine Learning team is responsible for defining new ML features, re...
Location
Location
Ireland , Dublin
Salary
Salary:
Not provided
intercom.com Logo
Intercom
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Broad applied machine learning knowledge
  • 3-5 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
Job Responsibility
Job Responsibility
  • Identify areas where ML can create value for our customers
  • Identify the right ML framing of product problems
  • Working with teammates and Product and 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
What we offer
What we offer
  • Competitive salary and equity in a fast-growing start-up
  • We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen
  • Regular compensation reviews - we reward great work!
  • Pension scheme & match up to 4%
  • Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents
  • Flexible paid time off policy
  • Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones
  • If you’re cycling, we’ve got you covered on the Cycle-to-Work Scheme. With secure bike storage too
  • MacBooks are our standard, but we’re happy to get you whatever equipment helps you get your job done
  • Relocation support for those moving to our offices
Read More
Arrow Right

Machine Learning Engineer

At Corsearch, we are dedicated to creating a world where consumers can trust the...
Location
Location
France; United Kingdom , Paris; London
Salary
Salary:
Not provided
corsearch.com Logo
Corsearch
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Proven experience as a Machine Learning Engineer with at least 3 years of professional experience
  • Strong proficiency in machine learning frameworks such as CatBoost, TensorFlow, PyTorch, or Keras
  • Experience with image processing, feature extraction, and text preprocessing techniques
  • Solid understanding of algorithms for tasks such as object detection, image classification, text extraction, and sentiment analysis
  • Hands-on experience with large datasets and data pipelines for training and deploying ML models
  • Strong analytical and problem-solving skills, with the ability to translate business challenges into technical solutions
  • Full professional English proficiency
Job Responsibility
Job Responsibility
  • Develop and optimize machine learning models with a focus on computer vision (e.g., image recognition, object detection) and NLP (e.g., text classification, sentiment analysis, entity recognition)
  • Train and fine-tune deep learning models (e.g., CNNs, RNNs, Transformers) for tasks such as reverse image search, image-text matching, and online content analysis
  • Collaborate with cross-functional teams to improve product and system performance
  • Research and implement state-of-the-art algorithms and techniques to improve the accuracy and performance of AI solutions
  • Build scalable data pipelines for the ingestion and processing of image and text data for model training and evaluation
  • Continuously monitor the performance of models in production, identify bottlenecks, and propose optimizations
  • Fulltime
Read More
Arrow Right

Staff Machine Learning Scientist

Intercom’s Machine Learning team is responsible for defining new ML features, re...
Location
Location
Ireland , Dublin
Salary
Salary:
Not provided
intercom.com Logo
Intercom
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 5-8 years applied ML experience
  • Previous background in a senior/staff role (data science, software development or academic)
  • Significant, demonstrated impact that your work has had on the product and/or the teams
  • Strong programming skills
  • Experience as the primary technical leader for a team
  • 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
Job Responsibility
Job Responsibility
  • Play an active role in hiring, mentoring and career development of other engineers
  • Raise the bar for technical standards, performance, reliability, and operational excellence
  • Identify areas where ML can create value for our customers
  • Identify the right ML framing of product problems - Working with teammates and Product and 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 we offer
What we offer
  • Competitive salary and equity in a fast-growing start-up
  • We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen
  • Regular compensation reviews - we reward great work!
  • Pension scheme & match up to 4%
  • Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents
  • Flexible paid time off policy
  • Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones
  • If you’re cycling, we’ve got you covered on the Cycle-to-Work Scheme. With secure bike storage too
  • MacBooks are our standard, but we’re happy to get you whatever equipment helps you get your job done
  • Relocation support for those moving to our offices
  • Fulltime
Read More
Arrow Right

Staff Machine Learning Scientist

Intercom’s Machine Learning team is responsible for defining new ML features, re...
Location
Location
United Kingdom , London
Salary
Salary:
Not provided
intercom.com Logo
Intercom
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 5-8 years applied ML experience
  • Previous background in a senior/staff role (data science, software development or academic)
  • Significant, demonstrated impact that your work has had on the product and/or the teams
  • Strong programming skills
  • Experience as the primary technical leader for a team
  • 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
Job Responsibility
Job Responsibility
  • Play an active role in hiring, mentoring and career development of other engineers
  • Raise the bar for technical standards, performance, reliability, and operational excellence
  • Identify areas where ML can create value for our customers
  • Identify the right ML framing of product problems - Working with teammates and Product and 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 we offer
What we offer
  • Competitive salary and equity in a fast-growing start-up
  • We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen
  • Regular compensation reviews - we reward great work!
  • Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents
  • Open vacation policy and flexible holidays so you can take time off when you need it
  • Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones
  • If you’re cycling, we’ve got you covered on the Cycle-to-Work Scheme. With secure bike storage too
  • MacBooks are our standard, but we’re happy to get you whatever equipment helps you get your job done
  • Fulltime
Read More
Arrow Right

Senior Machine Learning Scientist

Intercom’s Machine Learning team is responsible for defining new ML features, re...
Location
Location
United Kingdom , London
Salary
Salary:
Not provided
intercom.com Logo
Intercom
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Broad applied machine learning knowledge
  • 3-5 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
Job Responsibility
Job Responsibility
  • Identify areas where ML can create value for our customers
  • Identify the right ML framing of product problems
  • Working with teammates and Product and 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
What we offer
What we offer
  • Competitive salary and equity in a fast-growing start-up
  • We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen
  • Regular compensation reviews - we reward great work!
  • Pension scheme & match up to 4%
  • Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents
  • Flexible paid time off policy
  • Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones
  • If you’re cycling, we’ve got you covered on the Cycle-to-Work Scheme. With secure bike storage too
  • MacBooks are our standard, but we’re happy to get you whatever equipment helps you get your job done
  • Relocation support for those moving to our offices
Read More
Arrow Right

Senior Machine Learning Engineer

At Cresta, we are dedicated to building state-of-the-art Machine Learning system...
Location
Location
United States; Canada
Salary
Salary:
Not provided
cresta.com Logo
Cresta
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Master’s or Ph.D. in Computer Science, Machine Learning, AI, or a related field
  • 5+ years of hands-on experience building and deploying ML models in production
  • Strong knowledge of ML frameworks and NLP libraries (e.g., PyTorch, TensorFlow, Hugging Face, spaCy, NLTK)
  • Solid experience with modern ML techniques including transformer architectures, embeddings, retrieval systems, and large-scale model training
  • Experience designing and deploying Retrieval-Augmented Generation pipelines for enterprise use cases
  • Familiarity with evaluation and benchmarking frameworks for ML/LLM models
  • Strong passion for AI-driven innovation, with a proven ability to deliver impactful, production-grade solutions
Job Responsibility
Job Responsibility
  • Build and optimize agentic AI workflows that enable users to dynamically interact with and refine outputs from ML systems
  • Research and implement advanced ML and NLP techniques, including transformer-based models, embeddings, and retrieval-augmented generation
  • Develop evaluation frameworks to assess accuracy, robustness, and usability of ML/LLM models in production environments
  • Design, train, and deploy machine learning models for tasks such as classification, entity identification, information extraction, retrieval, topic discovery, and structured insight generation
  • Architect and optimize RAG pipelines for grounding LLMs with enterprise data to ensure accuracy and reliability
  • Collaborate with engineers, UX designers, and product managers to integrate AI-driven capabilities into Cresta’s platform
  • Optimize ML pipelines and data processing systems to operate efficiently at scale
What we offer
What we offer
  • We offer Cresta employees a variety of medical, dental, and vision plans, designed to fit you and your family’s needs
  • Paid parental leave to support you and your family
  • Monthly Health & Wellness allowance
  • Work from home office stipend to help you succeed in a remote environment
  • Lunch reimbursement for in-office employees
  • PTO: 3 weeks in Canada
  • Compensation for this position includes a base salary, equity, and a variety of benefits
  • Fulltime
Read More
Arrow Right

Senior Machine Learning Scientist

Intercom’s Machine Learning team is responsible for defining new ML features, re...
Location
Location
Germany , Berlin
Salary
Salary:
Not provided
intercom.com Logo
Intercom
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Broad applied machine learning knowledge
  • 3-5 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
Job Responsibility
Job Responsibility
  • Identify areas where ML can create value for our customers
  • Identify the right ML framing of product problems
  • Working with teammates and Product and 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
What we offer
What we offer
  • Competitive salary, annual bonus and equity
  • Regular compensation reviews - we reward great work!
  • Generous paid time off above statutory minimum
  • Generous family leave (maternity, paternity), to let you spend valuable time with your loved ones
  • Hybrid working
  • MacBooks are our standard, but we also offer Windows for certain roles when needed
  • Fun events for Intercomrades, friends, and family!
Read More
Arrow Right

Machine Learning Engineer

The Personalization (PZN) team makes deciding what to play next on Spotify easie...
Location
Location
United States , New York or Boston
Salary
Salary:
138250.00 - 197500.00 USD / Year
spotify.com Logo
Spotify
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • An experienced ML practitioner motivated to work on complex real-world problems in a fast-paced and collaborative environment
  • Strong background in machine learning, natural language processing, and generative AI, with experience in applying theory to develop real-world applications
  • Hands-on expertise with implementing end-to-end production ML systems at scale. Experience with production LLM scale based systems is a plus
  • Experience with incorporating human feedback to improve LLM based systems using technicals like DPO, KTO, and reinforcement fine-tuning
  • Experience with designing end-to-end tech specs and modular architectures for ML frameworks in complex problem spaces in collaboration with product teams
  • Experience with large scale, distributed data processing frameworks/tools like Apache Beam, Apache Spark, and cloud platforms like GCP or AWS
Job Responsibility
Job Responsibility
  • Design, build, evaluate, and ship LLM based solutions that tell stories about our content and our users
  • Collaborate with cross functional teams spanning user research, design, data science, product management, and engineering to build new product features that advance our mission to connect artists and fans in personalized and useful ways
  • Prototype new approaches and productionize solutions at scale for our hundreds of millions of active users
  • Promote and role-model best practices of ML systems development, testing, evaluation, etc., both inside the team as well as throughout the organization
  • Be part of an active group of machine learning practitioners
What we offer
What we offer
  • health insurance
  • six month paid parental leave
  • 401(k) retirement plan
  • monthly meal allowance
  • 23 paid days off
  • 13 paid flexible holidays
  • paid sick leave
  • Extensive learning opportunities, through our dedicated team, GreenHouse
  • Flexible share incentives letting you choose how you share in our success
  • Global parental leave, six months off - for all new parents
  • Fulltime
Read More
Arrow Right