Our Company Changing the world through digital experiences is what Adobe's all about. We give everyone-from emerging artists to global brands-everything they need to design and deliver exceptional digital experiences! We're passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.
We're on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!
The Opportunity
The ResearchEngineering & Design Lab within Adobe Research is looking for a ResearchEngineer passionate about the unique challenges involved in evaluating and improving Large Language Model (LLM) and Vision Language Model (VLM), and helping design and build next-generation multimodal intelligence systems. Join our efforts to turn cutting-edge research into new products and features in Adobe's web, desktop, and mobile applications, and expand what's possible in tools for creative expression.
What You'll Do
At Adobe Research, you will work closely with both research scientists and engineers at the intersection of computer vision, natural language processing, and generative modeling. You will help create the best media creation and editing user experience using the latest technologies. You will have the opportunity to:
Play a key collaborative role in ambitious research projects.
Be valued as a specialist in your domain of expertise.
Contribute to research that can be applied to Adobe product development.
Help integrate novel research work into Adobe's product.
Lead and collaborate on research projects across different Adobe divisions
Your responsibilities will include:
Large dataset collection and data quality improvements utilizing state-of-the-art VLMs.
Develop pipelines and evaluation tools to measure model performance on multimodal tasks.
Help define metrics and evaluation rubrics for generative models.
Use VLM-based evaluators to judge content generation and editing results, including realism, faithfulness to prompts, spatial consistency, semantic correctness, and safety.
Iteratively refine and improve VLM judges for specific tasks (e.g., generative model evaluation, multimodal reasoning, editing correctness).
Work closely with research scientists, engineers, and product teams to support model development.
What You Need to Succeed
M.S. degree in Machine Learning, AI, Computer Science, or related field (or equivalent practical experience).
Strong programming skills in Python and experience with common ML frameworks.
Solid deep learning skills, including practical experience in computer vision and natural language processing.
Strong communication and collaboration skills.
Experience working with large datasets.
Familiarity with modern VLMs and LLMs.
Additional Desirable Qualifications
3+ years of working experience in the related field.
Experience with multimodal model evaluation, data annotation pipelines, or generative model assessment.
Knowledge of prompt engineering and model fine-tuning.
Knowledge of state-of-the-art machine learning methods for large-scale diffusion and language models.
Proficiency with web development.
Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $120,700 -- $238,600 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process. In California, the pay range for this position is $164,800 - $238,600
At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).
In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.
State-Specific Notices:
California:
Fair Chance Ordinances
Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.
Colorado:
Application Window Notice
If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.
Massachusetts:
Massachusetts Legal Notice
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more.
Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call **************.
$164.8k-238.6k yearly Auto-Apply 35d ago
Looking for a job?
Let Zippia find it for you.
Principal ML Engineer for AI-Driven Cyber Defense
Cisco Systems 4.8
San Jose, CA jobs
A leading technology company in San Jose is seeking a candidate for a role focused on designing and building AI-driven workflows for security operations. Candidates should have a strong background in security operations, extensive Python development experience, and familiarity with security data tools. You'll collaborate closely with various teams to enhance detection and response strategies. The position offers competitive compensation ranging from $291,500 to $369,100, alongside a rich suite of benefits.
#J-18808-Ljbffr
$291.5k-369.1k yearly 2d ago
Senior Principal Engineer Software - Embedded & Real Time (California & Oklahoma)
Northrop Grumman Corp. (Au 4.7
San Diego, CA jobs
At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history.
Northrop Grumman Aeronautics Systems is looking to add Senior Principal Embedded & Real Time Software Engineer to join our team of qualified, diverse individuals within our Software organization. This position can be filled in California in the following locations: Palmdale, San Diego, El Segundo, or in Oklahoma City, Oklahoma.
In this role you will design, develop, integrate and test software (SW) for our end-user customers and businesses. You will be responsible for the design, architecture, development, and administration of embedded and real time systems. You will work with multi-disciplinary teams, such as Systems Engineering, Cloud & Application, Test Automation, DevSecOps and Systems Test, in an Agile SW development environment. You will analyze system capabilities to resolve problems on program intent, output requirements, input data acquisition, programming techniques and controls.
Duties and Responsibilities include, but are not limited to:
Work in a fast-paced environment with high expectations, significantly diverse assignments, and collaborative team settings across all levels
Participate in the full SW development life cycle including requirements, design, implementation, qualification, and delivery of SW products to our customer
Operate in an embedded technology development environment working with real time operating systems for use in flight and mission critical systems
Work in Agile Scrum teams to develop SW products for multiple SW baselines
Basic Qualifications:
Bachelor's Degree in a STEM (Science, Technology, Engineering or Mathematics) discipline and 8 years of related engineering experience; OR a Master's degree in a STEM discipline and 6 years of related engineering experience; OR a PhD in a STEM discipline and 4 years of related engineering experience.
Experience with the full SW Development Life Cycle (SDLC)
Experience with the following programming and scripting languages: C, C++, and Python
Experience with developing multi-threaded SW used for one of the following real-time applications: flight critical SW, Safety critical SW, medical SW, or mission critical SW
Experience with two of the following tools: Jira, Crucible, Bitbucket, Subversion, Bamboo, Jenkins, Sonarqube, Fortify, or Coverity
Experience with Agile SW development, embedded system programming, SWintegration and testing
Familiarity with at least two of the data interfaces: 1553, 1394, 422, 429, Serial, CAN, Discrete & Analog I/O, Ethernet/IP, or Fibre Channel
Recent experience and proficiency in software architecture, design, implementation, integration, and debugging C++ SW running on Real-Time Operating systems such as: VxWorks, Integrity, AND/OR Real Time Embedded Linux.
Active in-Scope, DoD Top Secret clearance.
Ability to obtain and maintain initial Special Program Access (SAP/PAR). This SAP/PAR must be obtained prior to commencement of employment and must be obtained within a reasonable amount of time as determined by the company to meet its business needs. (Of note: SAP/PAR will be upgraded once selected candidate is in role. Therefore, candidate must also be able to obtain and maintain upgraded SAP/PAR.)
Preferred Qualifications:
Current applicable SAP access
Basic understanding of PowerPC or ARM assembly
Able to read assembly and use CPU documentation to understand behaviors
Can identify moderate execution defects by only reading code
Understanding of how their embedded SW component will fit into a larger SW system / architecture
Able to document, capture, and present software architectural components in modeling or diagramming tools
familiarity with OS partitions and isolation architectures
High level understanding of architectural requirements for airworthiness certifications
Primary Level Salary Range: $142,200.00 - $213,400.00
The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions.
Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business.
The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates.
Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit *********************************** U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.
#J-18808-Ljbffr
$142.2k-213.4k yearly 2d ago
Staff ML Engineer - AI-Powered Observability Platform
Cisco Systems 4.8
San Jose, CA jobs
A global technology company is looking for a seasoned software engineer to enhance AI capabilities within their observability platform. Candidates should have a strong background in AI/ML systems, cloud computing, and robust technical leadership. This role is pivotal in driving innovation in data analysis and delivering scalable solutions. The ideal candidate will thrive in an agile environment and provide mentorship to junior engineers. Enjoy competitive salaries and benefits while contributing to impactful technology solutions.
#J-18808-Ljbffr
$151k-191k yearly est. 2d ago
Senior ASIC Emulation Engineer - SoC Prototyping
Meta 4.8
Sunnyvale, CA jobs
A leading technology company in Sunnyvale is seeking engineers to build ASIC/System on Chip (SoC) solutions for data center applications. The role involves emulation and prototyping, with responsibilities including delivering high-quality models and collaborating with various teams. The ideal candidate should have a bachelor's degree and over 6 years of experience in EDA tools and emulation technologies. Competitive compensation package includes annual salary ranging from $142,000 to $203,000.
#J-18808-Ljbffr
$142k-203k yearly 1d ago
Senior ML Engineer - GenAI & RAG Platforms
Cisco Systems 4.8
Palo Alto, CA jobs
A global technology leader is seeking an experienced engineer to implement GenAI services and APIs enhancing Splunk products. Candidates should have over 5 years of backend systems experience, excel in Python or TypeScript, and possess knowledge of LLM APIs. This role offers competitive pay and a variety of benefits including medical insurance, retirement plans, and generous paid time off, with a salary range of $181,000 to $235,000 annually based in Palo Alto, California.
#J-18808-Ljbffr
$181k-235k yearly 5d ago
Senior ML Engineer - GenAI & RAG Platforms
Cisco Systems 4.8
Santa Clara, CA jobs
A global technology leader seeks an experienced engineer to develop AI-driven services and APIs for its hybrid, multi-cloud environment. Ideal candidates will have 5+ years in backend or distributed systems and proficiency in modern programming languages like Python or TypeScript. Responsibilities include implementing features for GenAI services and collaborating on product development. Competitive salary range of $181,000 to $235,000 and robust benefits are offered.
#J-18808-Ljbffr
$181k-235k yearly 5d ago
RTL Design Engineer, Multimedia and Machine Learning Accelerators
Google Inc. 4.8
Mountain View, CA jobs
corporate_fare Google place Mountain View, CA, USA
Apply
Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.
8 years of experience designing RTL digital logic using SystemVerilog for FPGA/Application-Specific Integrated Circuits (ASICs) or equivalent practical experience.
Experience with a scripting language such as Perl or Python.
Experience in area, power and performance.
Preferred qualifications
Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture.
Experience implementing Graphics Processing Unit (GPU), Multimedia Intellectual Property (IP)(Camera, Display or COdec) or Machine Learning IP.
Experience with ASIC design methodologies for clock domain checks and reset checks.
Proficiency in scripting languages, C/C++ programming and software design skills.
About the job
Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.
Google's mission is to organize the world's information and make it universally accessible and useful. Our team combines the best of Google AI, Software, and Hardware to create radically helpful experiences. We research, design, and develop new technologies and hardware to make computing faster, seamless, and more powerful. We aim to make people's lives better through technology.
The US base salary range for this full-time position is $156,000-$229,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .
Responsibilities
Perform Verilog/SystemVerilog Register-Transfer Level (RTL) coding, function/performance simulation debug and Lint/Clock Domain Crossing (CDC)/Formal Verification (FV)/Unified Power Format (UPF) checks.
Perform RTL verification using industry standard methodologies; participate in test planning and coverage analysis.
Develop RTL implementations that meet engaged power, performance and area goals.
Participate in synthesis, timing/power closure and Field-programmable Gate Array (FPGA)/silicon bring-up.
Create tools/scripts to automate tasks and track progress, while working with multi-disciplined and multi-site teams in RTL design, verification, or architecture/micro-architecture planning.
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
#J-18808-Ljbffr
$136k-185k yearly est. 3d ago
Senior Principal Engineer Software - Embedded and Real Time (Multiple Locations)
Northrop Grumman Corp. (Au 4.7
San Diego, CA jobs
At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history.
Please note that this opportunity is contingent on program funding. Start dates are determined after funding confirmation.
Northrop Grumman Aeronautics Systems has an opening for an Senior Principal Engineer Software - Embedded & Real Time to join our team of qualified, diverse individuals within our Software organization. This position can be located in Melbourne FL, El Segundo CA, or San Diego CA.
In this role you will design, develop, integrate and test software for our end-user customers and businesses. Specifically, you will be responsible for the design, architecture, development, and administration of embedded and real time systems. You will work with multi-disciplinary teams, such as with Systems Engineering, Test Automation, DevSecOps and Systems Test, in an Agile software development environment. You will analyze system capabilities to resolve problems on program intent, output requirements, input data acquisition, programming techniques and controls.
Essential Functions:
Work in a fast-paced environment with high expectations, significantly diverse assignments, and collaborative team settings across all levels
Participate in the full software development life cycle including requirements, design, implementation, qualification, and delivery of software products to our customers
Operate in an embedded technology development environment working with real time operating systems for use in flight and safety critical systems
Work in Agile Scrum teams to develop software products for multiple software baselines
Basic Qualifications:
Bachelor's degree in a STEM discipline (Science, Technology, Engineering or Math) with 8 years of related experience; OR Masters degree in a STEM discipline with 6 years of experience; OR PhD with 4 years of related experience
Demonstrated Professional Experience developing software and scripts in C, Object Oriented C++ AND/OR Python for Safety-Critical applications/Systems within the last 2 years.
Demonstrated Professional Experience Architecting, Designing, Modeling, Implementing, Maintaining, Integrating, Debugging, Verifying and Qualifying Safety-Critical Embedded Real Time Software written in OO C++ running on Real-Time Operating Systems such as: VxWorks, Integrity, AND/OR Real Time Embedded Linux within the last 1 years.
Demonstrated Professional Experience with Static & Dynamic Code Analysis Tools and Fuzzing Tools such as: Coverity, SonarQube, AND/OR Fortify within the last 1 years.
Active Secret DoD Security Clearance
Ability to obtain and maintain Special Access Program (PAR)
Preferred Qualifications:
Ability to collaborate with systems engineers, hardware designers and integration/test engineers to develop and maintain complex software systems
Recent Demonstrated Professional Experience with DOORs AND/OR Software Requirement Specification Testing using Simulators, automated scripting languages such as Python, MATLAB, JavaScript, AND/OR Bash.
Primary Level Salary Range: $118,600.00 - $178,000.00
The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions.
Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business.
Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit *********************************** U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.
#J-18808-Ljbffr
$118.6k-178k yearly 3d ago
RTL Design Engineer, University Graduate, PhD, Machine Learning
Google Inc. 4.8
Sunnyvale, CA jobs
Copy link
Google Sunnyvale, CA, USAMidExperience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.
PhD degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience.
Academic, educational, internship, or project experience with RTL coding, Verilog, or SystemVerilog.
Preferred qualifications:
Experience with scripting language (e.g., Python or Perl).
Experience applying engineering best practices (e.g. code review, testing, refactoring).
Experience interacting with software, architecture, and other cross-functional teams.
Knowledge of processor design or accelerators.
Knowledge of high-performance and low power design techniques.
Knowledge of processor design, accelerators, or memory hierarchies.
About the job
In this role, you'll work to shape the future of AI/ML hardware acceleration. You will have an opportunity to drive cutting-edge TPU (Tensor Processing Unit) technology that powers Google's most demanding AI/ML applications. You'll be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's TPU. You'll contribute to the innovation behind products loved by millions worldwide, and leverage your design and verification expertise to verify complex digital designs, with a specific focus on TPU architecture and its integration within AI/ML-driven systems.
As an RTL Design Engineer, you will be part of a team developing ASICs to accelerate computation in data centers. You will have dynamic, multi-faceted responsibilities in areas such as project definition, design, and implementation. You will participate in the design, architecture, documentation, and implementation of the next generation of data center accelerators.
The AI and Infrastructure team is redefining what's possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.
We're the driving force behind Google's groundbreaking innovations, empowering the development of our AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.
The US base salary range for this full-time position is $132,000-$189,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
Responsibilities
Understand the overall application of the chip, proposing and developing improvements in overall design.
Design and document one or more blocks of an ASIC, including functionality and timing.
Work closely with software teams on functionality, interfaces, and documentation.
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.
#J-18808-Ljbffr
$136k-185k yearly est. 3d ago
Senior NLP & Language AI Engineer
Cisco Systems 4.8
San Jose, CA jobs
A leading tech firm is seeking a recent graduate or final-year PhD/Master's student for a role focused on advancing NLP research within their Language AI features. Responsibilities include conducting rigorous research, collaborating with product managers, and innovating in AI solutions. Ideal candidates will have a strong background in machine learning and natural language processing, and experience with Python. This position is located in San Jose, California, and offers a competitive salary package.
#J-18808-Ljbffr
$138k-175k yearly est. 4d ago
Senior ML Engineer, Real-Time Observability & AI
Cisco Systems 4.8
San Francisco, CA jobs
A leading technology firm in California is seeking an experienced software engineer to join its team. You will be responsible for building scalable cloud-based systems and applying the latest developments in AI technologies. The ideal candidate will possess a master's degree and extensive software engineering experience, preferably in AI/ML domains. Collaboration and technical leadership are key aspects of this role, promising impactful contributions towards advancing cloud solutions.
#J-18808-Ljbffr
$138k-175k yearly est. 2d ago
Senior ML Engineer - GenAI & RAG Platforms
Cisco Systems 4.8
Sunnyvale, CA jobs
A leading technology company is seeking a skilled professional to implement GenAI services and APIs that enhance chat assistants and automation workflows. Candidates should have extensive experience in backend or distributed systems and be proficient in modern programming languages. Excellent collaboration skills with product management is crucial for delivering impactful GenAI experiences. The position offers competitive salary with benefits in the Sunnyvale area.
#J-18808-Ljbffr
$138k-175k yearly est. 5d ago
Senior Silicon PD Engineer, TPU - ML Accelerator
Google Inc. 4.8
Mountain View, CA jobs
A global technology company in Mountain View is seeking a Senior Silicon Physical Design Engineer to lead physical design methodologies. This role requires 5+ years of advanced design experience, particularly in SoC cycles and low power designs. The ideal candidate holds a Bachelor's or Master's in Electrical Engineering and is skilled in System Verilog and TCL scripting. You'll drive innovations that power the next generation of hardware across Google's data centers.
#J-18808-Ljbffr
$160k-209k yearly est. 3d ago
Senior Demo Engineer - AI Agentforce Demos
Salesforce, Inc. 4.8
San Francisco, CA jobs
A leading technology firm is seeking a Demo Engineer to craft polished demos that showcase the capabilities of AI agents. In this role, you will collaborate with technical marketers and product teams, translating product narratives into engaging presentations. The ideal candidate will have a strong background in software engineering and technical problem-solving, along with the ability to deliver impressive demos under tight timelines. This position offers competitive compensation and comprehensive benefits.
#J-18808-Ljbffr
$133k-177k yearly est. 2d ago
Generative AI ML Engineer for Platform & Deployment
Cisco Systems 4.8
San Jose, CA jobs
A leading technology company in San Jose is seeking a skilled engineer to develop applications based on generative AI models such as GPT-4. This role involves collaborating with cross-functional teams to optimize performance and ensure reliability, as well as engaging in cutting-edge AI developments. The ideal candidate will have a Bachelor's or Master's degree in a relevant field and deep knowledge of machine learning methodologies. Competitive compensation, benefits, and opportunities for growth will be offered.
#J-18808-Ljbffr
$133k-167k yearly est. 3d ago
PhD ML Engineer - Generative AI & NLP Expert
Cisco Systems 4.8
San Jose, CA jobs
A leading technology company in San Jose is looking for a recent graduate or PhD candidate for an AI/ML development role. The position requires backend development skills in Go or Python and understanding of LLM infrastructure. Candidates should be ready to collaborate with cross-functional teams, optimizing models for real-world deployment. This role offers competitive salary ranges based on location, benefiting from Cisco's extensive employee perks and growth opportunities.
#J-18808-Ljbffr
$133k-167k yearly est. 2d ago
Generative AI ML Engineer for Platform & Deployment
Cisco Systems 4.8
San Francisco, CA jobs
A leading technology company in San Francisco is seeking a professional to develop AI/ML solutions. You will work closely with various teams to implement and optimize applications based on large language models. The ideal candidate has a Bachelor's or Master's degree in a relevant field and a strong understanding of machine learning algorithms. Join us to contribute to innovative projects and collaborate in a dynamic environment.
#J-18808-Ljbffr
$134k-168k yearly est. 3d ago
PhD ML Engineer - Generative AI & NLP Expert
Cisco Systems 4.8
San Francisco, CA jobs
A leading technology firm in San Francisco is looking for an innovative engineer to develop generative AI applications. This role requires a PhD in a relevant field and backend development experience, preferably in Go or Python. You will work with cutting-edge technologies and collaborate with world-class teams to create and implement AI solutions. Cisco offers a competitive salary and a collaborative work environment that fosters growth and innovation.
#J-18808-Ljbffr
$134k-168k yearly est. 2d ago
Senior Applied ML Research Engineer - Video AI
Adobe 4.8
Research engineer job at Adobe
Our Company Changing the world through digital experiences is what Adobe's all about. We give everyone-from emerging artists to global brands-everything they need to design and deliver exceptional digital experiences! We're passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.
We're on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!
The Opportunity
Adobe is the market leader in software products and services for the creative & marketing ecosystem with Creative Cloud, Document Cloud, Express, Firefly, and Experience Cloud. We've made industry-leading progress in GenAI, recently launching Firefly Services (APIs), Firefly Custom Models, and AI-powered features within flagship products like Photoshop, Express, and Adobe GenStudio.
We're looking for an exceptional Applied ML ResearchEngineer to advance our video AI capabilities-including video understanding, intelligent reframing, content analysis, and multimodal processing. You'll research, design, and deploy GenAI features that empower enterprise creators and marketers to transform creative intent into exceptional video content at scale.
As an Applied ResearchEngineer, you'll bridge cutting-edge research and real-world applications, shaping the Intelligence Layer that powers GenAI features for enterprises worldwide. You'll join a highly collaborative team working with internal product groups and strategic partners to solve complex AI challenges and deliver tangible results.
What you'll do
Research, train, and deploy state-of-the-art ML models for video understanding, video reframing, temporal analysis, and audio-visual processing
Build multimodal AI systems that combine vision, language, and audio to enable intelligent video editing and content creation workflows
Develop video-specific AI features such as automated scene detection, object tracking, style transfer, and content-aware cropping/reframing
Leverage LLMs and vision-language models to analyze complex video data and extract actionable insights
Build and optimize agentic AI workflows that enable dynamic user interaction with video AI systems
Develop scalable evaluation frameworks to assess accuracy, robustness, and usability of video AI models
Partner with product, UX, and business development teams to translate video AI innovations into enterprise-grade features
Collaborate with Adobe Research to explore emerging video AI technologies and transform research into interactive prototypes
What you need to succeed
B.S. or higher in Computer Science, Engineering, Mathematics, or related field
3+ years of hands-on experience building and deploying ML models inproduction
Strong expertise in video understanding, computer vision, or multimodal AI (video + language/audio)
Demonstrated experience training, finetuning, and optimizing large-scale models (LLMs, vision transformers, video models)
Proficiency in Python and deep knowledge of ML frameworks (PyTorch, TensorFlow, etc.)
Track record of delivering impactful, production-grade AI solutions
Excellent problem-solving skills and ability to thrive in a fast-paced, collaborative environment
Passion for pushing the boundaries of what's possible with video AI
Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $151,800 -- $265,350 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process. In California, the pay range for this position is $183,300 - $265,350
At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).
In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.
State-Specific Notices:
California:
Fair Chance Ordinances
Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.
Colorado:
Application Window Notice
If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.
Massachusetts:
Massachusetts Legal Notice
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more.
Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call **************.