NLP

NLP Engineer Jobs

46 jobs found

Today

Machine Learning Engineer

UST Portland, OR

Portland, OR

Today

$82k - $123k/yr Full time Agent Orchestration Agentic Ai Agentic Ai Orchestration

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Job Description

UST is seeking a Machine Learning Engineer (ML Engineer II) to build and optimize multi-agent systems for real-world performance. This onsite role in Oregon focuses on taking agent workloads from application design through inference runtime behavior and down to accelerator hardware and middleware layers.

What you’ll do

Develop a multi-agent workload at the application level, then profile and optimize its execution all the way through the inference runtime, OMIX/middleware, compute runtime, Linux GPU driver, and accelerator hardware.
Improve key performance metrics including latency, throughput, tokens/sec, memory footprint, and accelerator utilization.
Select and tune models and inference engines based on agent workload characteristics, hardware capabilities, and performance requirements.

What you bring

Hands-on development experience with multi-agent workloads.
Experience with agent frameworks such as LangGraph/LangChain, AutoGen, and CrewAI.
Strong understanding of LLMs, SLMs, and multimodal models, including Transformer architecture, attention, tokenization, context windows, and KV cache concepts.
Hands-on experience selecting, evaluating, and deploying models for different agentic workload requirements.
Knowledge of model formats and optimization workflows, including ONNX, OpenVINO IR, safe tensors, and quantization (FP16, BF16, INT8, INT4).
Experience with inference engines and runtimes such as OpenVINO, ONNX Runtime, vLLM, llama.cpp, or TGI.
Understanding of prefill vs. decode, batching, continuous batching, speculative decoding, KV-cache management, and memory optimization.
Solid grasp of CPU/GPU execution, device placement, and heterogeneous inference.
Ability to benchmark and compare models, inference engines, and runtime configurations, then identify performance bottlenecks.
Knowledge of GPU memory, kernel execution, synchronization, device selection, and host/device data movement.
Familiarity with middleware and accelerator compute runtimes such as OMIX/OneAPI/SYCL, Level Zero, or OpenCL.
Python strength, plus working knowledge of C/C++.
Experience with Git/GitHub, Linux shell, and debugging tools.
Practical use of GitHub Copilot for development, debugging, and code generation.
Docker and container fundamentals.
Ability to benchmark and profile AI workloads.
Understanding of latency, throughput, tokens/sec, GPU utilization, memory bandwidth, and CPU/GPU bottlenecks, including identifying whether a performance issue comes from the agent, model, inference engine, runtime, or driver.

Core technologies

LangGraph, LangChain, AutoGen, CrewAI
Python, C/C++, Git, GitHub, GitHub Copilot
Docker
ONNX, Open VINO IR, safe tensors
FP16, BF16, INT8, INT4
Open VINO, ONNX Runtime, vLLM, llama.cpp, TGI
OMIX, OneAPI, SYCL, Level Zero, OpenCL

Role location

Oregon (onsite)

Compensation

$82,000 - $123,000 USD per year

Benefits

Full-time employees accrue a minimum of 10 days of paid vacation per year.
6 days of paid sick leave each year (pro-rated for new hires throughout the year).
10 paid holidays.
Eligible for paid bereavement leave and jury duty.
401(k) Retirement Plan with employer matching.
Medical, dental, and vision insurance for employees and dependents residing in the US.
Company-paid Employee Only benefits: basic life insurance, accidental death and disability insurance, and short- and long-term disability benefits.
Regular employees may purchase additional voluntary short-term disability benefits.
Eligible to participate in a Health Savings Account (HSA).
Eligible to participate in a Flexible Spending Account (FSA) for healthcare, dependent child care, and/or commuting expenses.

Additional skills

Agentic AI
Python
Linux
MCP3
RAG
Kubernetes

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Today

Lead AI Engineer

Tavant Technologies, Inc. Santa Clara, CA 🇺🇸 Remote

Santa Clara, CA

Today

$130k - $160k/yr Full time Manager Ai Engineer Ai Ml

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Job Description

Tavant Technologies, Inc. is hiring an AI Engineer (remote in Santa Clara, CA) to design, build, and deploy advanced AI solutions that strengthen product performance and services. This role emphasizes collaboration with data and cross-functional partners, continuous learning, and clear communication as you help bring new intelligence capabilities into real projects.

Responsibilities

Design, develop, and deploy AI models and algorithms to address complex business problems.
Partner with data engineers and stakeholders to gather and preprocess data for model training.
Test and validate AI models to support performance and reliability.
Stay current with the latest AI trends and technologies to continuously improve offerings.
Document processes and maintain clear communication with team members and management.
Work on AI-driven initiatives by designing and deploying models that improve operational efficiency.
Conduct research and track emerging AI and machine learning trends to contribute to innovative solutions.
Collaborate with stakeholders to gather requirements and define project scopes for AI integration.

Requirements

Strong programming skills in Python, Typescript, and Amazon Build Tool (ABT).
Knowledge of deep learning techniques and natural language processing (NLP).
Experience with cloud platforms such as AWS and containerization tools including Docker and Kubernetes.
Excellent problem-solving and analytical skills, with strong attention to detail.
Strong written and verbal communication skills for effective collaboration.
Proficiency in programming languages such as Python or Java, with experience using AI frameworks and libraries.
Ability to explain complex concepts to non-technical stakeholders.
Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field, with a foundation in machine learning and statistical analysis.
Proven experience in a similar AI engineering role or relevant projects.

Team & Culture

You will join a team of data scientists, engineers, and domain experts focused on advancing AI capabilities. The environment supports knowledge sharing and continuous learning, including regular brainstorming sessions to improve the team’s effectiveness and productivity.

Salary & Location

USD 130,000 - 160,000 per yearly

Santa Clara, CA (remote)

Technologies

Python, Typescript, Amazon Build Tool (ABT), Deep learning, Natural language processing (NLP), AWS, Docker, Kubernetes, Java

Benefits

401(k)
Dental insurance
Health insurance
Paid time off
Relocation assistance
Vision insurance

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1d ago

AI Engineer

Standard Template Labs New York, NY

New York, NY

1d ago

$160k - $230k/yr Full time Ai Engineer Ai Ml Artificial Intelligence

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Job Description

Standard Template Labs is seeking an AI Engineer in New York, NY (onsite) to design and deliver machine learning capabilities that power the intelligence layer of its ITSM platform. The work spans natural language understanding, knowledge extraction, workflow automation, and predictive insights derived from IT infrastructure data.

Role Overview

In this position, you will research, prototype, and productionize machine learning solutions tailored to ITSM use cases. Responsibilities include model development and optimization as well as building scalable training and inference pipelines that connect directly to the core platform. The role also involves hands-on experimentation with LLMs, embeddings, and retrieval-augmented generation (RAG) to support IT knowledge retrieval and workflow automation.

Key Responsibilities

Research, prototype, and productionize machine learning models for ITSM use cases such as ticket triage, incident prediction, workflow recommendations, and CMDB inference.
Build scalable training and inference pipelines that integrate into the core platform.
Experiment with LLMs, embeddings, and retrieval-augmented generation (RAG) for IT knowledge and workflow automation.
Collaborate with engineers and product managers to define AI-first platform features that differentiate the product.
Evaluate model performance, optimize for reliability, scalability, and cost-efficiency, and ensure dependable AI system behavior.
Stay current with advancements in machine learning, LLMs, and AI infrastructure, applying them pragmatically to the platform.

Required Qualifications

Bachelor’s or Master’s in Computer Science, AI/ML, or a related field; a PhD is a plus.
Strong software engineering fundamentals, with Python preferred, and experience using ML frameworks such as PyTorch or TensorFlow.
Experience with one or more areas: natural language processing (NLP), large language models (LLMs), information retrieval, graph ML, or time-series forecasting.
Understanding of modern MLOps practices, including model versioning, deployment, monitoring, and lifecycle management.
Ability to work in a fast-paced startup environment with end-to-end ownership.
Bonus: experience applying AI in enterprise software or ITSM contexts.

Technologies

Python
PyTorch
TensorFlow
Natural language processing (NLP)
Large language models (LLMs)
Information retrieval
Graph ML
Time-series forecasting
MLOps
Embeddings
Retrieval-augmented generation (RAG)

Compensation and Location

Location: New York, NY (onsite)
Salary: USD 160,000 to 230,000 per year

Benefits and Working Model

Competitive compensation, equity, and benefits package
On-site work from the Flatiron District, Manhattan office, with the founding team in a supportive, collaborative setting
Team works on-site five days a week, and the location is easy to reach with plenty of public transportation options

What You Can Build

Foundational product features for an AI-first enterprise platform
Ownership of critical systems designed to scale to millions of users
A culture focused on craftsmanship, autonomy, and technical excellence

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2d ago

Machine Learning Engineer

Twilio Remote 📍 Ireland Remote

Remote

2d ago

Full time AI Ai Ml Artificial Intelligence

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Job Description

Twilio is hiring a Machine Learning Engineer on the Conversation Intelligence team to build AI-powered capabilities that extract meaning from voice and messaging data at scale.

Responsibilities

Design and develop machine learning solutions with a focus on accuracy, performance, security, and scalability
Build and maintain end-to-end AI/ML pipelines, covering data ingestion, feature engineering, model development, validation, and deployment (with guidance from senior engineers on complex architecture decisions)
Instrument AI/ML services using metrics, logging, and telemetry to track model performance and operational health against defined SLOs
Join on-call rotations and support progressive rollouts using standard mitigation strategies to keep production inference services healthy
Collaborate during planning, design, and code review to contribute to product and technical discussions, and improve code quality through detailed review feedback

Requirements

Bachelor’s degree in Computer Science, Mathematics, Statistics, or a related quantitative field, or equivalent practical experience
2+ years of experience in machine learning engineering or applied ML, including:
- Proficiency in Python
- At least one ML framework: PyTorch, TensorFlow, or JAX
- Familiarity with NLP libraries such as Hugging Face Transformers, NLTK, or SpaCy
Experience developing, testing, and deploying small-to-medium scoped ML services or features in a collaborative engineering environment, including:
- Model versioning
- Experiment tracking
- Cloud infrastructure experience with AWS, GCP, or Azure
Proficiency in Python (preferred) or a similar object-oriented language
Experience using Large (or Small) Language Models within software systems
Excellent written and verbal communication skills, including the ability to explain complex technical concepts to technical and non-technical audiences

Desired

Hands-on experience with conversational AI, or LLM fine-tuning and prompt engineering in a production context
Exposure to agentic AI frameworks such as LangGraph, AutoGen, or CrewAI
Familiarity with MLOps/LLMOps practices and tooling for maintaining models in production, including testing, versioning, model registry, retraining, and monitoring

Technologies

Python
PyTorch
TensorFlow
JAX
Hugging Face Transformers
NLTK
SpaCy
AWS
GCP
Azure

Benefits

Competitive pay
Generous time off
Ample parental and wellness leave
Healthcare
Retirement savings program

Location

Remote (remote) from Ireland

Travel

Occasional travel may be required for project or team in-person meetings

Recruitment fraud alert: Twilio will never request payment, gift cards, cryptocurrency, or banking information during recruiting. Offers are not made without a formal interview process, and interviews are not conducted exclusively through text-based messaging apps. Verify you are communicating with an official @twilio.com email address.

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3d ago

Lead AI Engineer

Main Sail LLC Remote 🌍 Remote

Remote

3d ago

$85 - $95/hr Full time Backend Developer Manager Agent Orchestration

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Job Description

Main Sail LLC is hiring a Lead AI Engineer to design and deliver agentic AI and conversational experiences across the Google, AWS, and Microsoft ecosystems. In this remote role, you will focus on context engineering and agent design while helping ensure secure API-based access to data, strong model performance, and governance-aligned behavior.

You will lead AI architecture and implementation efforts, mentor other engineers through design and development, and help turn proof of concept work into production-ready solutions.

Key Responsibilities

Develop applications that interact with web services, APIs, and other software applications.
Mentor and lead AI design and development efforts as needed.
Perform peer reviews to confirm AI design and development standards are followed and to establish additional standards when necessary.
Design the overall structure of Agentic AI solutions, including feature definition, user flow, API development, and integration with other systems.
Implement and tune Natural Language Processing techniques to improve AI assistant understanding and response accuracy.
Train, deploy, and monitor AI models by creating and using Dashboards.
Create custom indexes, manage data sources, and tune intent matches to improve accuracy and result relevance.
Design conversational flows that deliver a seamless, intuitive experience with human-like, engaging agent interactions.
Analyze agent interaction data to find patterns, trends, and opportunities for improvement.
Prepare reports using agent performance metrics.
Identify and resolve agent performance issues through debugging and system updates.
Ensure the AI agent and conversational assistant comply with data privacy laws and maintain high security standards when handling sensitive user data.
Work with cross-functional teams including business analysts, UX designers, project managers, and business customers and business SMEs.
Collaborate with the Automation Center of Excellence (CoE) team, adhering to established standards, organization processes, and alignment to target architectures and technology roadmaps.
Ensure AI systems operate safely, transparently, and within boundaries aligned to governance policies and practices.
Plan, initiate, and spearhead proof of concept (POC) initiatives using emerging technologies.
Produce technical writing using tools such as Word, PowerPoint, Visio, SharePoint, and Excel to create presentations and white papers.

Required Qualifications

Bachelor’s degree in computer science, Information systems, or a related discipline, or equivalent and extensive related project experience.
6 years of IT experience, including at least 4 years of combined AI Conversational Agents and/or Generative AI implementation experience.
2 years of AI Engineer experience developing Google conversational agents, including CX Agent Studio and Dialogflow CX Web and Voice Virtual Assistants.
2 years developing Enterprise Looker Dashboards to monitor AI Agent performance.
2 years of AI Engineer experience in AWS, using services such as AWS Bedrock, AWS Transcribe, AWS Comprehend, Lamda, and Step Functions.

Education & Experience

Bachelor’s degree in computer science, Information systems, or related discipline; Master’s preferred.
Six years of hands-on IT design and implementation experience, with knowledge in at least two technical disciplines: application development, network design, middleware, servers and storage, database management, operations, AI and machine learning fundamentals.
Experience in natural language processing (NLP) and large language model (LLM) integration.
Agentic AI Developer Experience using Microsoft Foundry is preferred.
Experience developing and maintaining SharePoint online solutions using MS Power Platform is preferred.
Google and AWS certifications relevant to this role are preferred.

Tools & Technologies

Google: Google CX Agent Studio, Google Conversational Agents, Google Dialogflow CX, Google CCAI Services
Analytics: Looker Dashboards
AWS: AWS Bedrock, AWS Transcribe, AWS Comprehend, Lamda, Step Functions
Microsoft: Microsoft Foundry, Azure AI Search, Azure AI Language Service, Microsoft Power Platform, Microsoft CoPilot Studio, Office 365, SharePoint
Languages & Platforms: C#, .NET, JavaScript, Python
Writing/Collaboration: Word, PowerPoint, Visio, Excel
AI/NLP: NLP, LLM, Natural Language Processing, Artificial intelligence and machine learning fundamentals

Compensation & Location

Location: Remote (remote)
Pay: USD 85 - 95 per hourly

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7d ago

Machine Learning Engineer, GAI Search Platform

ServiceNow Mountain View, CA

Mountain View, CA

7d ago

$140k - $217k/yr Full time Agentic Ai AI Ai Ml

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Job Description

ServiceNow is seeking Machine Learning Engineers for the GenAI Search Platform team to improve search-based question answering using traditional ML and LLM-enabled approaches.

Responsibilities

Lead development of an enterprise search platform with LLM-enabled generative AI features in a fast-paced environment
Enable product teams to prototype and ship new features for customers at scale
Evaluate and iterate on ranking improvements using a systematic approach
Enforce quality, security, privacy, and scalability guarantees for search and summarization
Build systematic evaluation metrics and methodology for search models
Use LLMs to tackle enterprise evaluation challenges, including security and privacy concerns
Collaborate across ranking, product, design, infrastructure, and data science teams to advance agentic search capabilities
Partner with product, UX, customer success, and engineering teams to identify and deliver well-structured solutions

Requirements

3+ years of engineering experience
First-hand experience with search platforms such as:
- traditional information retrieval
- search ranking and relevance
- recommendation systems
- question answering systems
Background in one or more areas: text processing, information retrieval, natural language understanding, or machine learning
Interest in helping product and ranking teams move faster and scale solutions with strong focus on customer impact and success

Technologies

LLMs (large language models)
Natural language understanding
Retrieval augmented generation (RAG)

Location

Mountain View, CA (onsite)

Salary

USD 139,700 - 216,500 per year

Benefits

Health plans, including flexible spending accounts
401(k) plan with company match
ESPP
Matching donations
Flexible time away plan
Family leave programs
Base pay of $139,700 - $216,500, plus equity (when applicable), variable/incentive compensation and benefits

Nice to Have

Experience with, or interest in learning, large language models, RAG, and agents
Experience with Python, including contributing to mature Python libraries or platform code, such as open-source repositories
Experience with Golang (not required)

Work Persona Information

Work personas (flexible, remote, or required in office) are assigned based on the nature of the work and assigned work location
To determine eligibility, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service

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10d ago

Principal Machine Learning Engineer

FactSet Research Systems Connecticut 🇺🇸 Remote

Connecticut

10d ago

$177k - $217k/yr Full time Manager Ai Ml Artificial Intelligence

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Job Description

Connecticut (remote) Principal Machine Learning Engineer role focused on advancing AI-driven solutions. You will lead technical efforts that apply machine learning to text data classification and natural language processing, collaborating with product teams to connect model capabilities to strategic business goals. This is a remote position in the United States, with exclusions for certain states.

Compensation: USD 177,000 - 217,000 per year.

Responsibilities

Spearhead innovative projects focused on developing and implementing advanced AI-driven solutions.
Build and evaluate diverse machine learning models, with emphasis on optimizing techniques for text data classification and NLP.
Collaborate on AI initiatives that transform data insights and enhance domain-specific applications by integrating multiple machine learning approaches to achieve improved outcomes.
Act as a key technical leader and provide thought leadership on best practices in the field.
Work cross-functionally with product teams to align AI capabilities with strategic business goals.
Stay current with emerging technologies and trends to improve the effectiveness of AI solutions over time.

Requirements

Master’s degree in Computer Science, Mathematics, Statistics, or a related technical field.
6 years of related technical experience.
3 years experience with:
- Node.js
- MongoDB
- RabbitMQ
- A caching technology such as Redis or Memcached
- Git
- Restful Web Design
- Working with times series data
- Python
- Elasticsearch
- scikit-learn
- Numpy
- Spacy
3 years experience applying ML techniques (SVM, logistic regression, Decision Trees, Random Forest, XGBoost, deep learning such as RNN/LSTM) on text data for domain-specific text classifications.
3 years experience with NLP processing in mining data, including cleaning, pre-processing, and transformation.
3 years experience combining multiple ML approaches like active/supervised/semi-supervised learning to achieve better results.
3 years experience developing tagged data sets.

Technology Stack

Node.js, MongoDB, RabbitMQ, Redis, Memcached
Git, Restful Web Design
Python, Elasticsearch
scikit-learn, Numpy, Spacy
SVM, logistic regression, Decision Trees, Random Forest, XGBoost
RNN, LSTM
active/supervised/semi-supervised learning

Location

Remote Position: This position may be performed remotely in the United States.
Remote work is not permitted in: Alaska, Arkansas, Delaware, Hawaii, Louisiana, Montana, New Mexico, North Dakota, South Dakota, and West Virginia.
FactSet Research Systems Inc., 45 Glover Avenue, 7th Floor, Norwalk, CT 06850.