Explore AI roles · Updated daily

Search curated engineering roles across AI infrastructure, agents, machine learning, and product teams.

Keyboard friendly Save and share roles

Lensa is a career site that helps job seekers find great jobs in the US. We are not a staffing firm or agency. Lensa ...

Ai Engineer Machine Learning Ai

$12k* · Senior Fully remote

View details

Craon srl è una società operante nel settore dell’Information e Communications Technology nata nel 1998 per iniziativ...

Data Science Ai

Fully remote

View details

You will work closely with data, product, and engineering teams to develop scalable AI systems and integrate models i...

Contract Ai Ai Engineer Machine Learning

Fully remote

View details

We’re looking for a Senior Data Scientist with strong hands-on experience in fine-tuning Large Language Models (LLMs)...

Fulltime Remote Ai Deep Learning

$54k* · Senior Fully remote

View details

Location: San Francisco, CA Work Model: In-office 5 days a weekAbout UsAt Effective AI, we're building the future of ...

Machine Learning Ai

$401k* · Senior Fully remote

View details

We are looking for a Data Scientist II to help design, build, and deploy machine learning and generative AI solutions...

Remote Ai Machine Learning Data Science

$116k - $198k · Senior Fully remote

View details

No Relocation Assistance Offered Job Number #171679 - New York, New York, United States Who We Are Colgate-Palmolive ...

Machine Learning Data Science Ai

$105k - $150k · Senior Fully remote

View details

The Company Cypress Creek Renewables is powering a sustainable future, one project at a time. We develop, finance, ow...

Parttime Fulltime Internship Machine Learning

$52k* · Senior Fully remote

View details

AI is hot. Maar bij Veneta doen we er ook écht iets mee. Geen hype. Wél oplossingen die direct impact maken op hoe we...

Fulltime Ai Ai Engineer Data Science

Fully remote

View details

INTERIM OPDRACHT 4 UUR GELEDEN AI/ML Engineer ( Azure Platform Modernization ) This role will be pivotal in designing...

Fulltime Ai Ai Engineer Machine Learning

Fully remote

View details

About CONXAI CONXAI has built a no-code, agentic AI platform for the Architecture, Engineering and Construction (AEC)...

Fulltime Ai Machine Learning Mlops

Fully remote

View details

The Machine Learning Engineer will have deep expertise in healthcare and pharmacy data. The focus of the role is on d...

Machine Learning Ai

$185k* · Senior Fully remote

View details

The Aerospace Corporation is the trusted partner to the nation’s space programs, solving the hardest problems and pro...

Fulltime Ai Machine Learning Data Science

$110k - $165k · Senior Fully remote

View details

We are looking for an AI Engineer specialized in Google Cloud Platform (GCP) to join the Google Tech Hub at BIP. The ...

Fulltime Remote Ai Ai Engineer

Fully remote

View details

Want to build AI that people actually use? Not demos. Not research papers. Real tools that help teams ask better ques...

Ai Engineer Ai

$12k* · Senior Fully remote

View details

Gen AI / Machine Learning Engineer (NLP Focus) 📍 Location: Washington, DC (Onsite) 🛂 Work Authorization: Must be auth...

Contract Ai Machine Learning Nlp

Fully remote

View details

Your Role: Join * Technologies as a Senior AI Engineer where you will design, implement, and productionize advanced A...

Remote Ai Ai Engineer Machine Learning

$151k - $160k · Senior Fully remote

View details

Machine Learning Engineer We are seeking a highly skilled Machine Learning Engineer to design, develop, and deploy sc...

Docker Api Machine Learning Aws

$1500k - $3000k · Senior Fully remote

View details

About the job We, Pernod Ricard - a world leading company in the Wine & Spirits industry -, are looking for an AI/Mac...

Remote Ai Machine Learning Data Science

Fully remote

View details

About Elevate Elevate is a full-service consulting firm that inspires high-performing organizations to find their lim...

Fulltime Remote Machine Learning Ai

$401k* · Senior Fully remote

View details

Selected role

Entry level AI/ML Engineer: SVL

Lensa San Jose, CA

$12k Senior Full-time

Lensa is a career site that helps job seekers find great jobs in the US. We are not a staffing firm or agency. Lensa does not hire directly for these jobs, but promotes jobs on LinkedIn on behalf of its direct clients, recruitment ad agencies, and marketing partners. Lensa partners with DirectEmployers to promote this job for IBM. Clicking "Apply Now" or "Read more" on Lensa redirects you to the job board/employer site. Any information collected there is subject to their terms and privacy notice.IntroductionIBM Automation and AI group is seeking an entry level AI/ML Engineer specializing in machine learning and Large Language Models (LLMs) to join our AI/ML Center of Excellence team at the IBM Silicon Valley Lab location. In this role, you will collaborate with cross-functional product teams to implement cutting-edge AI/ML capabilities across IBM's Automation product portfolio. You will lead efforts in data collection for LLM training and evaluation, integrate LLM technologies into existing and new products, and establish best practices for AI/ML feature implementation by product teams.Your Role And ResponsibilitiesData Collection and Management for LLM Evaluation and Training
Design and implement robust data collection pipelines for diverse LLM training datasets leveraging the IBM AI Model & Data Catalog.
Develop data quality assessment frameworks to ensure training data meets IBM's high standards
Create annotation guidelines and workflows for specialized domain-specific datasets
Implement data governance protocols that ensure compliance with privacy regulations and ethical AI principles following the IBM Data & Model Governance process and tooling.
Establish evaluation datasets and benchmarks to measure LLM performance across various use cases leveraging [1] FM-Eval and Unitxt.

LLM Integration and Implementation
Architect solutions to integrate LLMs with IBM's existing and emerging products and ecosystem
Develop APIs and interfaces that enable seamless interaction between LLMs and other software components
Optimize LLM deployment for various computing environments (cloud, edge, on-premises)
Implement techniques for model compression, quantization, and optimization to improve inference efficiency and minimize resource requirements
Design and implement prompt engineering frameworks for consistent LLM behavior across products

AI/ML Best Practices and Innovation
Establish technical standards and best practices for AI/ML feature implementation
Create reusable components and design patterns for common LLM use cases
Develop monitoring systems to track model performance, drift, and potential biases
Research and implement techniques for responsible AI, including explainability and fairness
Collaborate with product teams to identify opportunities for AI-driven innovation

ReferencesVisible linkshttps://github.ibm.com/IBM-Research-AI/fm-eval

Required Technical And Professional Expertise
Bachelor's or master's degree or higher in Computer Science, Machine Learning, AI, or related technical field
Less than one year of experience in machine learning engineering or data science roles
Demonstrated knowledge of NLP and large language models (e.g., transformer architectures) including model evaluation and algorithm design.
Strong programming skills in Python and familiarity with ML frameworks (PyTorch, TensorFlow, or JAX)
Experience with data processing pipelines and working with large datasets
Knowledge of MLOps practices and tools for model deployment and monitoring
Ability to work independently and collaborate effectively across diverse teams.
Strong communication skills to explain complex AI concepts to diverse audiences
Problem-solving mindset with ability to navigate technical and business constraints

Preferred Technical And Professional Experience
Experience with fine-tuning and prompt engineering for LLMs
Deep understanding of transformer architectures and attention mechanisms
Proficiency in vector databases and embedding technologies
Knowledge of model serving frameworks (TensorRT, ONNX, TorchServe)
Familiarity with cloud platforms (IBM Cloud, AWS, Azure, GCP)
Commitment to continuous learning in the rapidly evolving field of AI

IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.If you have questions about this posting, please contact [email protected]

Show less

Seniority level

Entry level

Employment type

Full-time

Job function

Engineering and Information Technology

Industries

Internet Publishing

Showing 1161–1180 of 2,395 AI roles

1 … 57 58 60 61 120

Find your next AI role

Entry level AI/ML Engineer: SVL

Data scientist

AI Engineer

Senior Data Scientist [cd287]

Founding ML Engineer

Data Scientist II

Machine Learning Engineer

ML Engineering Intern

Senior AI Engineer

AI/ML Engineer ( Azure Platform Modernization )

Lead MLOps Engineer (Multimodal Agentic AI Systems))

Machine Learning Engineer

Applied Machine Learning Engineer

GCP Senior AI Engineer

AI Engineer

Gen AI / Machine Learning Engineer

Senior AI Engineer

Machine Learning Engineer

Machine Learning Engineer

ML Engineer