Explore exciting opportunities in the rapidly growing fields of AI and ML engineering. These roles involve designing, developing, and deploying artificial intelligence and machine learning models to solve complex problems. Professionals in this area work with large datasets, implement algorithms, and build intelligent systems that can learn and adapt. The demand for AI/ML Engineers is high across various industries, including technology, finance, healthcare, and automotive.12,073 AI Ml Engineer jobs in the United States
AI/ML Engineer - Natural Language Processing
78205 San Antonio, Texas
$140000 Annually
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Our client is at the forefront of innovation in AI and Emerging Technologies and is looking for a talented AI/ML Engineer specializing in Natural Language Processing (NLP) to join their pioneering team in San Antonio, Texas, US . This role involves developing and deploying sophisticated NLP models that power groundbreaking applications. You will be instrumental in leveraging cutting-edge AI techniques to solve complex problems and create intelligent solutions that transform industries.
Responsibilities:
Responsibilities:
- Design, develop, train, and deploy state-of-the-art NLP models for tasks such as text classification, sentiment analysis, named entity recognition, machine translation, and question answering.
- Implement and fine-tune transformer-based architectures (e.g., BERT, GPT, RoBERTa) and other deep learning models for various NLP applications.
- Process and prepare large volumes of text data, including cleaning, tokenization, and feature engineering.
- Collaborate with data scientists, software engineers, and domain experts to integrate NLP capabilities into existing and new products.
- Evaluate model performance using appropriate metrics and conduct rigorous testing to ensure accuracy and robustness.
- Stay current with the latest research papers, techniques, and tools in NLP and machine learning.
- Optimize models for performance, scalability, and deployment in production environments.
- Develop and maintain robust pipelines for data ingestion, model training, and deployment.
- Contribute to the architectural design of AI/ML systems.
- Write clean, well-documented, and efficient code in Python.
- Present research findings and model performance to technical and non-technical stakeholders.
- Contribute to the team's knowledge base and foster a collaborative learning environment.
- Master's or Ph.D. degree in Computer Science, Artificial Intelligence, Machine Learning, Computational Linguistics, or a related quantitative field.
- Minimum of 4 years of hands-on experience in developing and deploying NLP models in a production environment.
- Strong programming skills in Python and familiarity with relevant libraries such as TensorFlow, PyTorch, scikit-learn, NLTK, SpaCy, and Hugging Face Transformers.
- Solid understanding of machine learning algorithms, deep learning architectures, and NLP concepts.
- Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices is a plus.
- Proven ability to work with large text datasets and perform data wrangling.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and teamwork abilities.
- Experience with distributed computing frameworks (e.g., Spark) is beneficial.
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AI/ML Engineer - Natural Language Processing
63101 St. Louis, Missouri
$170000 Annually
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Our client, a cutting-edge technology firm at the forefront of AI innovation, is seeking a talented AI/ML Engineer specializing in Natural Language Processing (NLP) to join their fully remote, world-class research and development team. This role is pivotal in developing advanced AI solutions that understand, interpret, and generate human language. You will be responsible for designing, building, and deploying state-of-the-art NLP models and algorithms for applications such as sentiment analysis, text summarization, machine translation, and conversational AI. The ideal candidate will possess a strong foundation in machine learning, deep learning, and statistical modeling, with a proven track record in NLP research and development. Key responsibilities include researching and implementing novel NLP techniques, preprocessing and analyzing large text datasets, fine-tuning pre-trained language models (e.g., BERT, GPT), and evaluating model performance. You will collaborate closely with data scientists, software engineers, and product managers to integrate AI capabilities into new and existing products. This is a remote-first position, allowing you to work alongside a globally distributed team of experts. Essential qualifications include a Master's or Ph.D. in Computer Science, Artificial Intelligence, Computational Linguistics, or a related field. A minimum of 5 years of experience in AI/ML engineering with a specialization in NLP is required. Proficiency in programming languages such as Python, and experience with machine learning frameworks like TensorFlow, PyTorch, and libraries like spaCy, NLTK, or Hugging Face Transformers are essential. Familiarity with cloud platforms (AWS, Azure, GCP) and MLOps practices is highly beneficial. If you are passionate about pushing the boundaries of artificial intelligence and shaping the future of human-computer interaction, we encourage you to apply.
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AI/ML Engineer - Natural Language Processing
37201 Nashville, Tennessee
$110000 Annually
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Our client is looking for a skilled AI/ML Engineer specializing in Natural Language Processing (NLP) to join their innovative research and development team in Nashville, Tennessee . This is an exceptional opportunity to work on cutting-edge AI technologies and contribute to the development of intelligent systems. You will be responsible for designing, building, and deploying machine learning models for NLP tasks, including text classification, sentiment analysis, named entity recognition, and question answering. The ideal candidate will have a strong academic background in Computer Science or a related field, extensive experience with ML frameworks like TensorFlow or PyTorch, and a deep understanding of NLP techniques and algorithms. Experience with large language models (LLMs) and transformer architectures is highly desirable. You will collaborate with data scientists, software engineers, and domain experts to create advanced AI solutions. This role requires a passion for AI and a commitment to pushing the boundaries of what's possible. Responsibilities:
- Develop and implement state-of-the-art NLP models.
- Process and analyze large datasets for NLP tasks.
- Train, evaluate, and fine-tune machine learning models.
- Integrate ML models into production systems.
- Research and apply new NLP techniques and algorithms.
- Collaborate with teams to define AI/ML project requirements.
- Optimize model performance and scalability.
- Contribute to the development of AI product roadmaps.
- Master's or Ph.D. in Computer Science, AI, Machine Learning, or a related field.
- 5+ years of experience in AI/ML development, with a specialization in NLP.
- Proficiency in Python and ML libraries (TensorFlow, PyTorch, Scikit-learn).
- Strong understanding of NLP concepts, algorithms, and tools (NLTK, SpaCy).
- Experience with LLMs and transformer architectures.
- Familiarity with cloud platforms (AWS, Azure, GCP).
- Excellent programming and software engineering skills.
- Strong analytical and problem-solving abilities.
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2
AI/ML Engineer - Natural Language Processing
43215 Columbus, Ohio
$135000 Annually
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Our client, a cutting-edge artificial intelligence research and development firm, is searching for an exceptional AI/ML Engineer specializing in Natural Language Processing (NLP) to join their team remotely, with core operations in Columbus, Ohio, US . This role is at the forefront of developing advanced NLP models and applications that drive intelligent solutions. You will be responsible for designing, implementing, and deploying machine learning models for tasks such as text classification, sentiment analysis, named entity recognition, machine translation, and question answering. Key responsibilities include: researching and implementing state-of-the-art NLP algorithms and techniques, developing and training deep learning models using frameworks like TensorFlow or PyTorch, pre-processing and analyzing large text datasets, evaluating model performance and iterating for improvement, and collaborating with software engineers to integrate AI solutions into production environments. The ideal candidate will have a Master's or Ph.D. in Computer Science, Artificial Intelligence, or a related quantitative field, with a strong focus on NLP. A minimum of 5 years of hands-on experience in developing and deploying NLP models is required. Proficiency with programming languages such as Python, and expertise in libraries like NLTK, spaCy, Hugging Face Transformers, and scikit-learn are essential. Experience with cloud platforms (AWS, Azure, GCP) and big data technologies is a plus. Strong analytical skills, excellent problem-solving abilities, and a passion for innovation in AI are crucial. Join a team that is shaping the future of artificial intelligence.
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3
Senior AI/ML Engineer - Natural Language Processing
94102 San Francisco, California
$140000 Annually
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Our client is at the forefront of AI innovation and is seeking a highly skilled Senior AI/ML Engineer specializing in Natural Language Processing (NLP) to join their pioneering team. This role is entirely remote, offering you the opportunity to contribute to groundbreaking AI research and development from anywhere in the US. You will be instrumental in designing, building, and deploying advanced NLP models and solutions that solve complex real-world problems. The ideal candidate possesses a strong academic background, hands-on experience with cutting-edge NLP techniques, and a passion for pushing the boundaries of artificial intelligence.
Responsibilities:
Qualifications:
Responsibilities:
- Design, develop, and implement state-of-the-art NLP models and algorithms for tasks such as text classification, sentiment analysis, named entity recognition, machine translation, and question answering.
- Build and optimize large-scale NLP pipelines for data preprocessing, feature engineering, and model training.
- Experiment with and apply various deep learning architectures, including transformers, LSTMs, and CNNs, for NLP tasks.
- Deploy and scale NLP models into production environments using cloud platforms (e.g., AWS, Azure, GCP).
- Collaborate with product managers, data scientists, and software engineers to integrate NLP capabilities into product offerings.
- Conduct research on emerging NLP techniques and technologies, evaluating their potential applications.
- Develop metrics and methodologies for evaluating NLP model performance and quality.
- Write clean, efficient, and well-documented code in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, Hugging Face).
- Stay current with the latest advancements in AI, machine learning, and NLP research.
- Mentor junior engineers and contribute to the team's technical growth.
- Present findings and results to technical and non-technical audiences.
- Contribute to the company's intellectual property through publications and patents.
Qualifications:
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Computational Linguistics, or a related quantitative field.
- Minimum of 5 years of experience in AI/ML engineering, with a strong focus on Natural Language Processing.
- Proven experience in developing and deploying production-ready NLP models.
- Proficiency in Python and machine learning frameworks like TensorFlow, PyTorch, Keras, and scikit-learn.
- Deep understanding of NLP concepts, algorithms, and libraries (e.g., NLTK, spaCy, Hugging Face Transformers).
- Experience with cloud platforms (AWS, Azure, GCP) for ML model development and deployment.
- Familiarity with big data technologies (e.g., Spark, Hadoop) is a plus.
- Strong analytical, problem-solving, and critical thinking skills.
- Excellent communication and collaboration abilities.
- Ability to work independently and manage complex projects in a remote setting.
- Publications in top-tier AI/ML conferences (e.g., NeurIPS, ICML, ACL) are highly desirable.
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4
Senior AI/ML Engineer - Natural Language Processing
37205 Nashville, Tennessee
$130000 Annually
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Our client is looking for a highly innovative Senior AI/ML Engineer specializing in Natural Language Processing (NLP) to join their advanced R&D team in Nashville, Tennessee, US . This role is pivotal in developing and deploying state-of-the-art NLP models and solutions that drive our client's core technologies. Responsibilities include designing, implementing, and evaluating machine learning algorithms for text analysis, sentiment analysis, topic modeling, and natural language generation. You will work with large datasets, build robust data pipelines, and deploy models into production environments using cloud platforms (AWS, Azure, GCP). The ideal candidate will have a Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field, with a strong focus on NLP. Proven experience (5+ years) in developing and deploying production-ready ML models, particularly in NLP, is required. Proficiency in Python and ML frameworks like TensorFlow, PyTorch, and scikit-learn is essential. Experience with NLP libraries such as NLTK, spaCy, and Hugging Face Transformers is a strong plus. You should have a solid understanding of deep learning architectures for NLP, including RNNs, LSTMs, and Transformers. This position offers a Hybrid work arrangement, combining collaborative in-office work with the flexibility of remote days. Excellent problem-solving skills, strong communication abilities, and a passion for pushing the boundaries of AI are necessary. Join a team that is shaping the future of AI applications.
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5
Senior AI/ML Engineer, Natural Language Processing
21201 Baltimore, Maryland
$130000 Annually
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Job Description
Our client is at the forefront of AI innovation and is seeking a talented Senior AI/ML Engineer specializing in Natural Language Processing (NLP). This hybrid role requires a strategic blend of remote flexibility for deep research and coding, combined with periodic on-site collaboration in our Baltimore innovation hub to foster teamwork and knowledge sharing. You will be responsible for designing, developing, and deploying advanced NLP models and solutions to solve complex business problems. Your work will involve leveraging state-of-the-art techniques in machine learning, deep learning, and computational linguistics to build intelligent systems capable of understanding, interpreting, and generating human language. Key responsibilities include data preprocessing, feature engineering, model training, evaluation, and deployment of NLP pipelines. You will work with large datasets, explore various NLP architectures (e.g., Transformers, LSTMs, RNNs), and contribute to the entire machine learning lifecycle. A strong foundation in Python programming and experience with major ML frameworks like TensorFlow, PyTorch, and scikit-learn are essential. Experience with cloud platforms (AWS, Azure, GCP) and big data technologies (Spark, Hadoop) is highly desirable. The ideal candidate possesses a PhD or Master's degree in Computer Science, Artificial Intelligence, or a related quantitative field, along with a proven track record of delivering impactful NLP solutions. You should be a proactive problem-solver, a strong communicator, and passionate about pushing the boundaries of AI research and application. This is a unique opportunity to work on challenging projects that will shape the future of human-computer interaction.
Responsibilities:
Responsibilities:
- Design, develop, and implement advanced NLP models and algorithms.
- Process, clean, and prepare large text datasets for model training.
- Build and optimize deep learning models using frameworks like TensorFlow, PyTorch, or Keras.
- Conduct research on state-of-the-art NLP techniques and evaluate their applicability.
- Deploy NLP models into production environments, ensuring scalability and performance.
- Collaborate with data scientists, software engineers, and product managers to integrate AI solutions.
- Develop and maintain robust ML pipelines and MLOps practices.
- Evaluate model performance using appropriate metrics and conduct A/B testing.
- Stay current with the latest advancements in AI, ML, and NLP research.
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Computational Linguistics, or a related field.
- 5+ years of hands-on experience in developing and deploying NLP solutions.
- Expertise in Python and common ML libraries (e.g., TensorFlow, PyTorch, scikit-learn, NLTK, spaCy).
- Strong understanding of machine learning algorithms, deep learning architectures (CNNs, RNNs, Transformers), and NLP techniques (e.g., sentiment analysis, NER, topic modeling).
- Experience with cloud platforms (AWS, Azure, GCP) and big data technologies.
- Proficiency in data wrangling and feature engineering for text data.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and teamwork abilities.
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6
Remote AI/ML Engineer, Natural Language Processing
19102 Philadelphia, Pennsylvania
$135000 Annually
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Our client is seeking a highly skilled and innovative Remote AI/ML Engineer specializing in Natural Language Processing (NLP) to contribute to cutting-edge projects. This role is for an individual passionate about leveraging advanced machine learning techniques to build intelligent systems that understand and process human language. You will be instrumental in designing, developing, and deploying NLP models for applications such as sentiment analysis, text summarization, machine translation, and conversational AI. The ideal candidate possesses a strong foundation in machine learning, deep expertise in NLP libraries and frameworks, and a proven ability to translate complex problems into scalable AI solutions. Collaboration with research and engineering teams in a remote setting will be key to success.
Key Responsibilities:
Key Responsibilities:
- Design, develop, and implement NLP models and algorithms using Python and relevant libraries (e.g., TensorFlow, PyTorch, Hugging Face Transformers, spaCy, NLTK).
- Build and maintain data pipelines for NLP tasks, including data preprocessing, feature engineering, and model training.
- Evaluate and optimize the performance of NLP models using appropriate metrics.
- Conduct research on state-of-the-art NLP techniques and apply them to solve business problems.
- Collaborate with product managers and other engineers to define NLP project requirements and roadmaps.
- Deploy NLP models into production environments, ensuring scalability and efficiency.
- Stay current with the latest advancements in AI, ML, and NLP research.
- Contribute to the development of internal AI tools and platforms.
- Troubleshoot and debug NLP models and pipelines.
- Document research findings, methodologies, and model implementations.
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Computational Linguistics, or a related quantitative field.
- Minimum of 5 years of experience in AI/ML development, with a significant focus on NLP.
- Strong programming skills in Python.
- Extensive experience with machine learning frameworks such as TensorFlow, PyTorch, Keras.
- Deep understanding of NLP concepts, techniques, and libraries (e.g., transformers, attention mechanisms, word embeddings, sequence models).
- Experience with cloud platforms (AWS, GCP, Azure) and MLOps practices.
- Familiarity with big data technologies (e.g., Spark) is a plus.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and collaboration skills, suitable for a remote team environment.
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7
Senior AI/ML Engineer - Natural Language Processing
94105 San Francisco, California
$165000 Annually
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Our client is a leader in developing intelligent software solutions and is seeking a Senior AI/ML Engineer with expertise in Natural Language Processing (NLP) to join their growing team in San Francisco, California, US . This is a remote-optional position. You will play a key role in designing, building, and deploying advanced NLP models for various applications, including sentiment analysis, text summarization, machine translation, and conversational AI. The ideal candidate will possess a Master's or Ph.D. in Computer Science, Artificial Intelligence, Computational Linguistics, or a related field, with a minimum of 5 years of professional experience in AI/ML engineering, including a strong focus on NLP. You should have hands-on experience with Python, NLP libraries (e.g., spaCy, NLTK, Hugging Face Transformers), and deep learning frameworks such as TensorFlow or PyTorch. Experience with cloud platforms (AWS, GCP, Azure) and MLOps practices is highly beneficial. Responsibilities include developing and fine-tuning large language models (LLMs), implementing efficient text processing pipelines, conducting research on state-of-the-art NLP techniques, evaluating model performance, and collaborating with product teams to integrate NLP capabilities into our client's offerings. You will also contribute to the development of scalable AI infrastructure and mentor junior engineers. The ability to translate complex business problems into effective AI solutions, coupled with strong programming and communication skills, is essential for success in this challenging and rewarding role.
Key Responsibilities:
Key Responsibilities:
- Develop and deploy NLP models and algorithms.
- Build and fine-tune large language models (LLMs).
- Implement text processing and analysis pipelines.
- Conduct research on advanced NLP techniques.
- Collaborate with product management on AI features.
- Evaluate and optimize model performance.
- Contribute to AI infrastructure and MLOps.
- Mentor junior AI/ML engineers.
- Master's or Ph.D. in Computer Science or related field.
- 5+ years of experience in AI/ML engineering.
- Strong expertise in Natural Language Processing (NLP).
- Proficiency in Python and NLP libraries (spaCy, Hugging Face).
- Experience with deep learning frameworks (TensorFlow, PyTorch).
- Familiarity with cloud platforms and MLOps.
- Excellent problem-solving and communication skills.
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8
Senior AI/ML Engineer - Natural Language Processing
10001 New York, New York
$160000 Annually
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Our client is a cutting-edge technology firm at the forefront of AI and Emerging Technologies, seeking a highly skilled Senior AI/ML Engineer specializing in Natural Language Processing (NLP) to join their dynamic team in New York City, New York, US . This critical role will involve the design, development, and deployment of advanced NLP models and solutions that power innovative applications, from chatbots and sentiment analysis to document understanding and content generation. You will collaborate closely with data scientists, software engineers, and product managers to bring state-of-the-art NLP capabilities to life. The ideal candidate will possess a deep understanding of NLP techniques, machine learning algorithms, deep learning frameworks (e.g., TensorFlow, PyTorch), and proficiency in programming languages like Python. A proven track record of building and deploying production-ready NLP systems is essential, along with excellent problem-solving, analytical, and communication skills. We are looking for a forward-thinking engineer who is passionate about leveraging AI to solve complex language-based challenges and drive product innovation. This fully remote position offers the opportunity to work on challenging projects with significant impact, utilizing large-scale datasets and cutting-edge research. Join a team that is shaping the future of human-computer interaction through advanced AI.
Key Responsibilities:
Key Responsibilities:
- Design, develop, and implement advanced Natural Language Processing (NLP) models and algorithms.
- Build and optimize NLP pipelines for tasks such as text classification, named entity recognition, sentiment analysis, and language generation.
- Collaborate with cross-functional teams to integrate NLP solutions into existing products and services.
- Conduct research on state-of-the-art NLP techniques and apply them to solve business problems.
- Develop and maintain efficient data preprocessing and feature engineering workflows for text data.
- Ensure the scalability, performance, and accuracy of deployed NLP models.
- Contribute to the development of MLOps practices for NLP model lifecycle management.
- Stay abreast of the latest advancements in NLP, deep learning, and artificial intelligence.
- Master's or Ph.D. in Computer Science, Computational Linguistics, AI, or a related quantitative field.
- Minimum of 7 years of experience in AI/ML, with a specialization in NLP.
- Proven experience developing and deploying NLP models in production environments.
- Expertise in NLP libraries and frameworks (e.g., spaCy, NLTK, Hugging Face Transformers).
- Strong proficiency in Python and deep learning frameworks (TensorFlow, PyTorch).
- Deep understanding of language modeling, transformer architectures, and embeddings.
- Experience with cloud platforms (AWS, Azure, GCP) and their AI/ML services is a plus.
- Excellent analytical, problem-solving, and communication skills.
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