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Full Time Nlp Engineer Jobs (NOW HIRING)

Exactsciences

Lead AI Platform Engineer

Madison, WI

$151K - $256K/yr

Lead the execution of ML, NLP, LLM deliverables in support of the AI strategies. * Collaborate ... on a full-time basis and may differ by hiring location. In addition, this position is bonus ...

Exact Sciences

Lead AI Platform Engineer

Madison, WI · On-site

$151K - $256K/yr

Lead the execution of ML, NLP, LLM deliverables in support of the AI strategies. * Collaborate ... on a full-time basis and may differ by hiring location. In addition, this position is bonus ...

Exactsciences

Lead AI Platform Engineer

San Diego, CA

$151K - $256K/yr

Lead the execution of ML, NLP, LLM deliverables in support of the AI strategies. * Collaborate ... on a full-time basis and may differ by hiring location. In addition, this position is bonus ...

Innowhyte Inc

Requirements Proficiency in Python and NLP frameworks (Hugging Face, spaCy, PyTorch, TensorFlow ... Employment Type: FULL_TIME

Care.coach

Lead Machine Learning Engineer

Millbrae, CA

$119K - $156K/yr

Audio signal processing, ASR, NLP, and NLG/dialog for conversational automation * Computer vision ... Full-time regularW2 employment with benefits. (no C2C; no 1099; no visa sponsorship) Compensation:

OPPO US Research Center

AI Engineer

Palo Alto, CA · On-site

Master's degree in CS, AI, ML, CV, NLP, or a related field; or Bachelor's degree with 2+ years of ... The US base salary range for this full-time position is $100,000-$200,000 + bonus + long term ...

SOCOTEC

Applied AI Engineer

Manhattan, NY · On-site

Design and implement machine learning models tailored to natural language processing (NLP) and ... Additional Information For more information, please visit www.socotec.us Job Type: Full-Time, ...

Air

Senior Machine Learning Engineer

Pittsburgh, PA

$118K - $156K/yr

This role is a full-time position located out of our office in Pittsburgh, PA. This role may ... Inform and implement the design and development of NLP applications to enhance the intelligence and ...

Socotec

Applied AI Engineer

Manhattan, NY

Design and implement machine learning models tailored to natural language processing (NLP) and ... Additional Information For more information, please visit www.socotec.us Job Type: Full-Time, ...

National Debt Relief, LLC.

Engineer, Applied AI

$129K - $149K/yr

Exposure to GenAI use cases including document understanding (OCR/NLP), summarization, or ... Available for full-time position. Compensation Information Our salary ranges are determined by role ...

Socotec

Applied AI Engineer

Manhattan, NY

Design and implement machine learning models tailored to natural language processing (NLP) and ... Additional Information For more information, please visit www.socotec.us Job Type: Full-Time, ...

OPPO US Research Center

AI Engineer

Palo Alto, CA · On-site

Requirements Minimum Qualifications: • Master's degree in CS, AI, ML, CV, NLP, or a related field ... The US base salary range for this full-time position is $100,000-$200,000 + bonus + long term ...

OPPO US Research Center

AI Engineer

Palo Alto, CA · On-site

Requirements Minimum Qualifications: • Master's degree in CS, AI, ML, CV, NLP, or a related field ... The US base salary range for this full-time position is $100,000-$200,000 + bonus + long term ...

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Full Time Nlp Engineer information

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$59.5K

$111.6K

$203K

How much do full time nlp engineer jobs pay per year?

As of Jul 19, 2026, the average yearly pay for full time nlp engineer in the United States is $111,632.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,500.00 and $132,500.00 per year, depending on experience, location, and employer.

What are some common challenges Full Time NLP Engineers face when deploying language models in production environments?

Full Time NLP Engineers often encounter challenges such as ensuring model scalability, managing latency for real-time applications, and maintaining data privacy. Additionally, handling diverse and noisy real-world data can require constant model updates and monitoring for bias or drift. Collaborating closely with data engineers, product managers, and DevOps teams is essential to streamline deployment, monitor system health, and address issues as they arise.

What is a Full Time NLP Engineer?

A Full Time NLP (Natural Language Processing) Engineer is a technology professional who designs, builds, and maintains systems that allow computers to understand, interpret, and generate human language. This role typically involves working with large datasets, developing machine learning models, and applying linguistic algorithms to solve problems such as text classification, sentiment analysis, language translation, and chatbot development. NLP Engineers collaborate with data scientists, software engineers, and product teams to integrate language technologies into various applications. Being employed full time means they are dedicated to this role as their primary occupation, usually working a standard workweek for a single company or organization.

What are the key skills and qualifications needed to thrive as a Full Time NLP Engineer, and why are they important?

To thrive as a Full Time NLP Engineer, you need expertise in natural language processing, machine learning, programming (Python), and a degree in computer science or a related field. Familiarity with tools and frameworks like TensorFlow, PyTorch, NLTK, spaCy, and experience with cloud platforms are commonly required, along with relevant certifications. Strong analytical thinking, problem-solving abilities, and effective communication skills distinguish top performers in this role. These skills and qualities are crucial for building robust NLP solutions, collaborating cross-functionally, and staying current in a rapidly evolving field.

What is the difference between Full Time Nlp Engineer vs Data Scientist?

AspectFull Time Nlp EngineerData Scientist
Required CredentialsBachelor's or Master's in Computer Science, NLP, or related fields; experience with NLP toolsBachelor's or Master's in Data Science, Statistics, or related fields; programming skills
Work EnvironmentTech companies, research labs, AI startups focusing on NLP projectsVarious industries including finance, healthcare, marketing, analyzing data sets
Employer & Industry UsagePrimarily in AI, NLP, and machine learning teamsAcross industries for data analysis, predictive modeling, and insights

Full Time Nlp Engineers focus specifically on developing NLP models and algorithms, while Data Scientists work broadly with data analysis and modeling across various domains. Both roles require programming skills and a strong understanding of data, but Nlp Engineers specialize in language processing tasks.

More about Full Time Nlp Engineer jobs
What cities are hiring for Full Time Nlp Engineer jobs? Cities with the most Full Time Nlp Engineer job openings:
What are the most commonly searched types of Nlp Engineer jobs? The most popular types of Nlp Engineer jobs are:
What states have the most Full Time Nlp Engineer jobs? States with the most job openings for Full Time Nlp Engineer jobs include:
What job categories do people searching Full Time Nlp Engineer jobs look for? The top searched job categories for Full Time Nlp Engineer jobs are:
Full Time Nlp Engineer jobs near you
Infographic showing various Full Time Nlp Engineer job openings in the United States as of July 2026, with employment types broken down into 95% Full Time, 2% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $111,632 per year, or $53.7 per hour.

Senior Software Engineer, Information Security

Commure Athelas

Mountain View, CA • On-site

$160K - $190K/yr

Full-time

Posted 15 days ago

Job description

At Commure, we're building the AI Operating System for healthcare, the foundation that defines how care is delivered, documented, and financed. Our platform spans the full care journey: Ambient AI and Dictation eliminating documentation burden at the point of care, intelligent Agents automating patient and revenue workflows, and autonomous RCM processing billions in claims, all on a single AI-native platform integrated with 60+ EHRs.
Healthcare carries a $1 trillion administrative burden and we're at the center of transforming it. Today, 500,000+ clinicians across 500+ healthcare organizations nationwide trust Commure to handle $25B+ in annual claims and support over 200 million patient interactions. Our latest $70M raise at a $7B valuation reflects the confidence the market has placed in this mission. We've also been named to the Fortune Future 50 list and the 2026 AI Breakthrough Awards for "Overall NLP Company of the Year."
Our team works directly alongside clinicians, not through layers of process, which means the gap between what you build and its impact on patient care is immediate. We move fast, deploy daily, and take full ownership from early thinking to production. If you're energized by hard problems, high stakes, and a team that holds itself to a high bar, you'll find your people here.
The future of healthcare is being built right now. Come deliver this transformation.
About the Role
We're hiring a Senior Software Engineer to architect scalable detection frameworks, integrate threat intelligence into automated security pipelines, and build AI-driven security operations at scale. You'll translate complex security requirements into production-grade software that protects our enterprise and cloud infrastructure - and you'll partner with red team, threat intel, and SOC engineers to move from signal to outcome.
Full Time position requires working 3 days a week in our Mountain View office (Hybrid)
What You'll Do
  • Design high-fidelity detections and correlation logic in Splunk Enterprise Security and AWS OpenSearch - tuning for coverage and signal-to-noise.
  • Build AI-powered detection tooling that ingests threat intel and recommends new use cases using ML and NLP techniques.
  • Write production Python, Java, and Bash to automate workflows, build internal tooling, and integrate with cloud and third-party APIs.
  • Engineer ETL pipelines for log ingestion, normalization, and routing across AWS, multi-cloud, and on-prem environments.
  • Translate red team findings, threat hunts, and pentest results into durable detection improvements and control enhancements.
  • Drive detection standards and reusable patterns across endpoint, network, identity, and cloud domains.
  • Mentor engineers and analysts on detection methodology, secure software practices, and architecture.

What You Have
  • Bachelor's degree in Computer Science, Cybersecurity, or a closely related technical field (Master's a plus).
  • 6+ years in software and/or security engineering, with 2+ years building detections on enterprise SIEMs (Splunk, OpenSearch, Securonix, or equivalent).
  • 2+ years hands-on experience developing security automation or AI/ML-based security applications in Python, Java, or similar.
  • Strong command of AWS (SageMaker, OpenSearch, Lambda, IAM), EDR platforms (CrowdStrike, Carbon Black), and modern identity tooling.
  • Fluency with MITRE ATT&CK, NIST CSF, Zero Trust, and CIS Controls; comfort integrating STIX/TAXII and MISP feeds.
  • Track record supporting compliance audits (SOC 2, FedRAMP, ISO 27001, HIPAA, or SOX) from a hands-on engineering seat.

Nice to Have
  • Splunk Certified Architect or Developer; CISSP, CEH, or GIAC GCED.
  • Experience applying ML to anomaly detection, behavioral analytics, or security NLP.
  • Background in healthcare, financial services, or other regulated industries.
  • Enterprise vulnerability management experience - authenticated scanning, CVSS prioritization, automated reporting.

Please be aware that all official communication from us will come exclusively from email addresses ending in @commure.com. Any emails from other domains are not affiliated with our organization.
Employees will act in accordance with the organization's information security policies, to include but not limited to protecting assets from unauthorized access, disclosure, modification, destruction or interference nor execute particular security processes or activities. Employees will report to the information security office any confirmed or potential events or other risks to the organization. Employees will be required to attest to these requirements upon hire and on an annual basis.

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