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Nlp Transformers Jobs (NOW HIRING)

Apex Informatics

AI ML Engineer

... NLP (transformers, gpt, etc) in a production setting using large amounts of data • 2-3 years of experience applying LLMs (RAG, vector db, embeddings) to solve real world problems • Experience ...

6sense

Sr. Data Scientist

San Francisco, CA · On-site

Responsibilities : • Design, build, and deploy scalable machine learning and AI solutions in production environments. • Develop NLP and transformer-based systems for enterprise-scale applications ...

6sense

Sr. Data Scientist

San Francisco, CA · Remote

$162K - $238K/yr

Develop NLP and transformer-based systems for enterprise-scale applications. * Build Agentic AI workflows leveraging frameworks such as LangGraph and LangChain. * Own the end-to-end ML lifecycle ...

Roberts Recruiting

Senior NLP Engineer

Boston, MA · On-site

$113K - $156K/yr

We are in the processing of transforming healthcare. In particular, we are transforming the way ... Our natural language processing (NLP) and machine learning (ML) platform replaces outdated manual ...

Roberts Recruiting

NLP Tools Engineer

Boston, MA

We are in the processing of transforming healthcare. In particular, we are transforming the way ... Our natural language processing (NLP) and machine learning (ML) platform replaces outdated manual ...

Roberts Recruiting

Team Lead NLP Tools

Boston, MA · On-site

We are in the processing of transforming healthcare. In particular, we are transforming the way ... Our natural language processing (NLP) and machine learning (ML) platform replaces outdated manual ...

6sense

Sr. Data Scientist

San Francisco, CA · On-site

$162K - $238K/yr

Develop NLP and transformer-based systems for enterprise-scale applications. * Build Agentic AI workflows leveraging frameworks such as LangGraph and LangChain. * Own the end-to-end ML lifecycle ...

Nutanix

NLP Architect

San Jose, CA · On-site

$240K - $480K/yr

Strong understanding of Transformers (GPT, Llama, etc.) and embeddings * Proficiency in Python and ML frameworks (PyTorch, TensorFlow) * Experience with NLP libraries (Hugging Face, spaCy, NLTK)

Machinify

Staff Data Scientist | NLP

$180K - $230K/yr

Design and train NLP models for tasks like classification, entity extraction, retrieval ... Hands-on experience fine-tuning transformer models (LoRA/QLoRA, instruction tuning, preference ...

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Nlp Transformers information

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$37.5K

$122.7K

$196.5K

How much do nlp transformers jobs pay per year?

As of Jun 9, 2026, the average yearly pay for nlp transformers in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What are NLP Transformers?

NLP Transformers are a type of deep learning model designed to process and understand natural language data. Introduced in the paper 'Attention is All You Need', transformers use attention mechanisms to capture relationships between words in a sentence, regardless of their position. This architecture has become the foundation for many advanced language models, such as BERT and GPT. Transformers have significantly improved performance in tasks like translation, summarization, and question answering within natural language processing.

What are the key skills and qualifications needed to thrive as an NLP Transformers Engineer, and why are they important?

To thrive as an NLP Transformers Engineer, you need a strong background in machine learning, natural language processing, and proficiency in programming languages like Python, often supported by a degree in computer science or a related field. Familiarity with frameworks such as TensorFlow, PyTorch, and libraries like Hugging Face Transformers, as well as knowledge of cloud platforms, is essential. Strong problem-solving skills, collaboration, and effective communication set exceptional candidates apart in this role. These skills and qualities are crucial for developing, optimizing, and deploying cutting-edge NLP solutions that drive business value.

What are the typical collaboration dynamics for NLP Transformers specialists within a development team?

NLP Transformers specialists often work closely with data scientists, machine learning engineers, and software developers to design, implement, and optimize transformer-based models for natural language processing tasks. Collaboration usually involves regular meetings to discuss project goals, data preprocessing strategies, model architecture, and evaluation metrics. Specialists may also coordinate with product managers or domain experts to ensure that models align with user needs and business objectives. Open communication and code reviews are common practices to maintain high-quality solutions and foster continuous learning within the team.
Data Scientist (AI/ML Engineer)

Data Scientist (AI/ML Engineer)

Apex Informatics

Tampa, FL • On-site

Contractor

Posted 22 days ago

Job description

Data Scientist (AI/ML Engineer)
Required Skills:
• 5+ years of experience in Python using common data science libraries such as scikit-learn and Databricks
• 3+ years of experience applying NLP (transformers, gpt, etc) in a production setting using large amounts of data
• 2-3 years of experience applying LLMs (RAG, vector db, embeddings) to solve real world problems
• Experience applying data science techniques in a commercial enterprise, including supervised, unsupervised learning, NLP, time-series forecasting and other statistical analyses
• Experience building APIs for the models
• Strong written & verbal communication skills; including the ability to present detailed analyses to a broad audience
• Organized self-starter, with drive and commitment; able to work with little supervision
• Strong analytical, quantitative, problem-solving, and critical thinking skills
• Nice-to-Have:
• Experience using vision and speech models in GenAI
• Experience with Voice based BOT implementation.

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