5,292 Nlp jobs in the United States

About the job Machine Learning / NLP Research Scientist

Machine Learning / NLP Research Scientist - (REMOTE)

(multiple opportiunities at various levels)

Our client is at the forefront of applying machine learning research to transform the way medical conversations are understood and utilized. We are in search of research scientists who are proficient in machine learning and natural language processing to join our innovative team. The ideal candidate will possess a deep understanding of foundation models, a keen interest in healthcare applications, and the ability to think critically and solve complex problems. Our work is deeply rooted in research, with every member of our team contributing to the development of real-world applications that significantly benefit healthcare professionals.

**What You'll Do**

- Push the boundaries of medical NLP research, focusing on conversation summarization, evidence extraction, outcome prediction, and developing new evaluation techniques and experimental approaches.

- Engage with the broader research community by disseminating original research findings and insights.

- Tackle significant challenges, set benchmarks, innovate state-of-the-art methodologies, and integrate them into practical applications.

- Utilize feedback from healthcare professionals to drive continuous improvement and innovation in our solutions.

- Approach ambiguous challenges and uncertain results with a results-driven mindset.

**What You'll Bring**

- A solid research foundation, evidenced by publications and an advanced degree (MS or PhD) in Electrical Engineering, Computer Sciences, Mathematics, or a related field.

- Contributions to leading AI conferences (e.g., *CL, NeurIPS, ICML, ICLR) through high-impact publications.

- Demonstrated real-world impact via open source contributions and the deployment of technologies.

- Proficient programming skills and experience in developing, prototyping, and implementing machine learning solutions in a production environment.

- Familiarity with deep learning frameworks (e.g., PyTorch, Jax, TensorFlow), experience with multi-GPU training, and a strong capability in statistical analysis of both observational and experimental data.

• Lead the design, development, and deployment of state-of-the-art NLP models and systems (e.g., language translation, sentiment analysis, text generation, question answering).
• Architect and implement scalable machine learning pipelines for training, evaluating, and deploying NLP models.
• Optimize model performance for efficiency, accuracy, and speed using techniques like model compression and quantization.
• Collaborate with product managers and researchers to define project requirements and technical roadmaps.
• Mentor and guide junior ML engineers and data scientists, fostering technical growth and knowledge sharing.
• Conduct rigorous experimentation and stay abreast of the latest advancements in NLP and deep learning research.
• Develop and maintain robust MLOps practices for continuous integration, deployment, and monitoring of NLP models.
• Contribute to the development of proprietary AI technologies and intellectual property.
• Ensure code quality, scalability, and maintainability of ML systems.
• Effectively communicate complex technical concepts to both technical and non-technical stakeholders.
• Champion best practices in machine learning engineering and data science.

• Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
• 6+ years of hands-on experience in machine learning engineering, with a strong specialization in NLP.
• Proven experience leading ML projects and teams.
• Expertise in deep learning frameworks such as PyTorch or TensorFlow.
• Strong proficiency in Python and experience with relevant libraries (e.g., Hugging Face Transformers, spaCy, NLTK).
• Experience with large-scale data processing and distributed computing frameworks (e.g., Spark, Dask).
• Solid understanding of cloud platforms (AWS, GCP, Azure) and MLOps tools.
• Experience with containerization technologies (Docker, Kubernetes).
• Excellent problem-solving skills, a proactive attitude, and the ability to work autonomously in a remote setting.
• Exceptional communication and interpersonal skills.

• Design and develop state-of-the-art multimodal AI solutions for understanding and generating content across video, image, audio/speech .
• Create innovative technologies to improve automated content generation for multiple modalities.
• Contribute to the development of new AI-driven products and tools that push the boundaries of multimodal machine learning.

• MS degree with 2+ years of experience or a PhD in Computer Science, Machine Learning, or a related field.
• Strong background in machine learning technologies, such as Large Language Models, Diffusion Model, Computer Vision, Video Processing, Audio/Speech Processing.
• Proficiency in programming languages such as Python .
• Familiarity with databases and data storage solutions like MongoDB, Redis, and SQL .
• A strong passion for emerging technologies, with demonstrated analytical and problem-solving abilities.
• Excellent communication, teamwork, and project management skills.

• A proven research record, including publications in top machine learning/AI transactions/conference.

• Work on impactful, cutting-edge technologies that reach tens of millions of users.
• Collaborate with a team of passionate AI researchers and engineers.
• Opportunity to pioneer innovative AI products in a fast-growing domain. If you're passionate about shaping the future of multimodal machine learning and generative AI, we'd love to hear from you!

• Health, dental, and vision care for you and your family (100% coverage for employee)
• Top-tier 401(K) plan with company matching
• Paid time off and paid holidays
• FSA, HSA and commuter benefits programs
• Team activity budget

Responsibilities

About the team PDPO(Privacy and Data Protection Office) is the organization to lead, supervise, and empower all TikTok's privacy work in an accountable and industry leading way. This team is the expert in the landscape of privacy risks and passionate about consulting across the company on implementing the proper safeguards and technical mitigations to ensure that our users' privacy is honored across the TikTok's products and platforms. About the role The Machine Learning Scientist will lead and collaborate with cross-functional teams to design, develop, and deploy sophisticated machine learning algorithms to enhance the performance of our business systems. - Formulate end-to-end machine learning models by utilizing ML, NLP techniques to deal with real-world signals generated from privacy products/ incidents/ review areas. - Analyze extensive, complex datasets to extract meaningful insights, identify opportunities for improvement, and facilitate data-driven decision-making. - Design and execute experiments, testing and iterating on machine learning models to optimize recommendation functions and boost user satisfaction. - Communicate final recommendations and drive decision making. You will utilize data-driven techniques in building solutions to help measure, validate, identify, and envision TikTok's privacy evolution. You will design and scope out projects, build operationalized analytics tools and platforms, and most importantly, use data and AI models to find insights, diagnose problems and tell compelling stories. Besides the technical side, you will also get the opportunity to work closely with various XFN teams, including but not limited to engineering, legal, audit, security, public, government relations, and products. You will be expected to build deep domain knowledge and build a strong domain expertise in privacy.

Qualifications

Minimum Qualifications: - Requires a Bachelor's degree in Finance, Mathematics, Statistics, Operations Research or other related field and two years of experience in the job offered or in a machine learning-related role. - Solid background in NLP and analytics, personalization/recommendation and hands-on experience and solid understanding of machine learning and deep learning methods. - Experience performing data extraction, cleaning, analysis and presentation for medium to large datasets - Experience with at least one programming language (i.e. Python, R, Java, or C++) - Experience writing SQL queries - Experience with scientific computing and analysis packages such as NumPy, SciPy, Pandas, Scikit-learn, dplyr, or ggplot2 Preferred Qualifications: - Experience with statistics methods such as forecasting, time series, hypothesis testing, classification, clustering or regression analysis - Experience with data visualization libraries such as Matplotlib, Pyplot, ggplot2 - Experience with machine learning libraries and deep learning toolkits such as PyTorch, Caffe2, TensorFlow, Keras or Theano. - Experience with Large Language Model is a plus.

Job Information

(For Pay Transparency)Compensation Description (Annually)

The base salary range for this position in the selected city is $ - $ annually.

Compensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.

Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).

The Company reserves the right to modify or change these benefits programs at any time, with or without notice.

For Los Angeles County (unincorporated) Candidates:

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:

1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;

2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and

3. Exercising sound judgment.

About TikTok

TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Why Join Us

Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect - and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.

We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.

Diversity & Inclusion

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

TikTok Accommodation

TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at

• Conduct state-of-the-art research in machine learning, deep learning, and natural language processing.
• Design, develop, and implement novel AI algorithms and models for various applications.
• Develop and deploy robust NLP models for tasks such as text classification, sentiment analysis, named entity recognition, and question answering.
• Collaborate with cross-functional teams, including software engineers and product managers, to integrate AI solutions into products and services.
• Analyze large datasets, identify patterns, and extract meaningful insights to drive AI model development.
• Stay abreast of the latest advancements in AI research and identify opportunities for innovation and application.
• Publish research findings in top-tier AI conferences and journals.
• Mentor junior researchers and contribute to the overall intellectual property and technical strategy of the AI group.
• Evaluate and benchmark AI models and algorithms for performance, scalability, and accuracy.
• Contribute to the development of AI infrastructure and tools.