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Senior Generative Ai Jobs (NOW HIRING)

Esri

Sr. Generative AI Software Developer

Redlands, CA · On-site

$123K - $202K/yr

Overview Esri's Professional Services division is seeking an experienced Sr. Software Development ... If you are passionate about geospatial technologies, AI-driven data quality management, and ...

Esri

Sr. Generative AI Software Developer

Redlands, CA · On-site +1

$54.75 - $72.50/hr

Overview Esri's Professional Services division is seeking an experienced Sr. Software Development ... If you are passionate about geospatial technologies, AI-driven data quality management, and ...

Esri

Sr. Generative AI Software Developer

Redlands, CA · On-site

$54.75 - $72.50/hr

Job Summary : Esri's Professional Services division is seeking an experienced Sr. Software ... test, and integrate AI/ML algorithms as part of product releases and evolve data quality ...

National Debt Relief, LLC.

Senior Engineer, Applied AI

$150K - $173K/yr

As a Senior Applied AI Engineer, you will own the technical execution of GenAI initiatives - from ... Design, prototype, and deploy Generative AI solutions across NDR's client-facing and internal ...

@Orchard

Senior Azure Generative AI Engineer

Dallas, TX · On-site

$95/hr

Senior Azure Generative AI Engineer Dallas TX @Orchard LLC is seeking a Senior Azure Generative AI Engineer to design, develop, and deploy enterprise-grade Generative AI solutions using Microsoft ...

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How much do senior generative ai jobs pay per year?

As of Aug 10, 2026, the average yearly pay for senior generative ai in the United States is $80,287.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,500.00 and $103,000.00 per year, depending on experience, location, and employer.

What are the best senior generative AI career paths for senior professionals?

Senior professionals in generative AI can pursue career paths such as AI research scientist, machine learning engineer, AI product manager, or AI solutions architect. These roles typically require expertise in deep learning frameworks, programming skills, and knowledge of large language models, with opportunities in tech companies, research institutions, and startups.
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What are the most commonly searched types of Generative Ai jobs? The most popular types of Generative Ai jobs are:
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Generative AI Applied Scientist, SIML - ISE

Apple

Cupertino, CA • On-site

Full-time

Re-posted 23 days ago

Apple rating

8.0

Company rating: 8.0 out of 10

Based on 677 frontline employees who took The Breakroom Quiz

7th of 30 rated technology retailers

Job description

Generative AI Applied Scientist, SIML - ISE
Summary
Apple's System Intelligence and Machine Learning (SIML) team is seeking a senior Generative AI expert to pioneer the next generation of human-centric device interaction and multimodal scene understanding. You will be at the core of our efforts to develop multimodal LLMs that can perceive and understand complex scenes and nuanced human interactions, behaviors, and preferences. This is a unique opportunity to join a leading applied research group known for its foundational contributions to Apple Intelligence, where you will focus on the end-to-end lifecycle of generative models-from novel architecture design and large-scale training to final deployment.
Responsibilities
Design, train, and deploy large-scale multimodal LLMs, owning the entire lifecycle from initial architecture to final deployment within the constraints
Implement and demonstrate novel, human-centric user experiences by applying the capabilities of large foundation models
Create robust, scalable ML models and APIs that can be well-integrated into Apple's production pipelines and training infrastructure
Work closely with partner teams to build, iterate, and adapt innovative solutions in a dynamic, product-focused environment
Description
Description
We are looking for a senior applied scientist with strong ML and Generative modeling skills who can design, train, and deploy multimodal GenAI technology. You will need to learn quickly and implement and demonstrate new user experiences using large foundation models. You will build novel and innovative technology, forge collaborations with cross-functional partners, and adapt and iterate your solutions in a dynamic environment. You will be expected to advance human interaction and scene understanding modeling across various fronts, from a system level to a core ML algorithm level. Some of the myriad challenges include understanding user behavior and preferences from interactions with the device and the environment, retrieving useful and nuanced information based on past interactions, handling deeply interleaved streaming inputs, reasoning over varying temporal contexts, developing memory systems to enable long-term adaptation, and generating semantically rich internal representations to enable open-ended downstream tasks. You will be responsible for delivering ML models and solutions that can readily be adopted in production pipelines, such as APIs for production-ready ML models and algorithms well-integrated into our training infrastructure.
Minimum Qualifications
Minimum Qualifications
PhD or Masters Degree in Computer Science, Engineering, or a related field with a focus on machine learning; or equivalent experience
Strong research skills with first author publications in top tier ML conferences
Expert-level knowledge of SOTA in large auto-regressive transformer models, multi-modal encoders, and representation learning
Experience with multimodal large language models (LLMs)
Strong programming skills in Python, maintaining ML code bases grounded in software engineering principles
Preferred Qualifications
Preferred Qualifications
Proven track record of deploying innovative ML technologies in production
Familiarity with developing ML for resource-constrained devices
Experience working with large cross-functional and diverse teams

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976

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