Interested in this Research Engineer role at Logic, Inc.?
Apply Now →Skills & Technologies
About This Role
Innovation R\&D Team Lead/Consultant \| Mid\-Level \| Full time
Job No. R00327706 \| San Francisco, CA
*Are you a hands\-on innovator with a passion for discovering how AI can solve real\-world problems*?
We Are
The *Accenture Digital Experiences R\&D Group* works to advance the frontiers of human\-machine interaction and human\-centered computing. Our applied research explores ways that emerging technologies, such as Artificial Intelligence, ubiquitous computing, affective computing, neuro\-sensing, and Augmented Reality can address important business problems and transform how people interact with technology across various facets of their lives. We divide our time across contributing directly to current client work, and to R\&D to support future client offerings.
Some recent projects and new initiatives we are focused on:
- Enhancing human\-AI collaboration and teaming by measuring human\-AI interaction behaviors, understanding AI adoption barriers, and designing personalized interventions to improve quality of AI adoption for knowledge work.
- Combining agentic AI, affective computing, and applied neuroscience to provide creators with insight about how test customers are engaging with their products and content
- Creating novel AI\-driven tools for collaborative creation and review of large document creation (e.g., for large proposals and regulatory processes)
- Connecting physical AI, spatial AI, and affective computing for frictionless Human\-AI experiences
You Are
Accenture Labs seeks a well\-rounded candidate who is an intellectually curious AI research engineer with strong technical skills to join our applied R\&D group in San Francisco. We are looking for someone who is both deeply curious about the business impact of technology and eager to explore those possibilities hands\-on. They thrive on rapidly learning new tools and concepts to bring groundbreaking ideas to life. They will prototype, investigate, and communicate ideas that sit at the frontier, while staying grounded in real enterprise problems and client realities.
The Work
Execute R\&D Agenda and Further Business Priorities:
- Create rapid prototypes to test and illustrate Labs’ business hypotheses about how AI can and emerging tech transform knowledge work, decision\-making, and human\-machine collaboration in enterprise contexts, working across design through development and testing.
- Support senior researchers in scoping, defining, executing, and communicating research initiatives.
- Support development of internal and external thought leadership, targeted for various audiences and in a variety of formats (blogs, white papers, videos, research conferences, etc.).
- Help generate unique intellectual property (e.g., patents, tools)
- Participate in client workshops and client\-facing projects, applying our expertise to real\-world client needs. Note that as an R\&D group within a consulting company, the role involves a mix of future\-facing exploration of emerging technologies and application of our capabilities within current client projects.
Be an Engineering Expert in one or more technical areas of expertise:
- AI development: working with the latest AI models, Agentic frameworks, and tools to test the technology’s maturity and build new prototypes with AI stacks.
- Developing technical prototypes embodied in digital and hardware (robotic systems, AR/XR headsets, biosensing wearables, etc...) that explore, test, and communicate the ways that emerging technologies can transform various activities and realms of experience.
- A technical contributor across the organization in your area of expertise, both internally for Accenture and during client engagements
- Apply technical skills in a client\-delivery team
Researchers in our lab have:
- A passion for rethinking how people interact with machines across a range of real\-world complex challenges that matter to Accenture’s clients and for devising creative approaches to address those challenges with emerging technologies
- A track record of technical innovation, prototyping systems that demonstrate the potential of new tools to transform the way we work and live
- Enthusiasm for applying their skills to both current client\-facing work, and future\-looking prototypes.
- Commitment to understanding the diverse and inclusive perspectives that shape the complex relationships between people and technologies.
Additionally, researchers at this level demonstrate *potential to grow*, to become researchers who can:
- Define and execute research projects within our group’s overall agenda.
- Shape and build on ideas developed with business stakeholders and managers to produce high quality documents and presentations.
- Manage and execute projects that combine prototype development, qualitative and quantitative research, and thought leadership.
- Collaborate with an interdisciplinary ecosystem of researchers, engineers, consultants, academic partners, and business stakeholders.
- Participate in their research community by building relationships publishing about their work and building relationships with external researchers.
- Experience synthesizing insights across a range of disciplines, including hardware, software, social and behavioral science, and economics.
Travel may be required for this role. The amount of travel will vary from 0 to 100% depending on business need and client requirements.
Here's what you need
- Bachelor's degree or equivalent (minimum 12 years) work experience in Human\-Computer/Human\-AI/Human\-Robot Interaction, Computer Science, Artificial Intelligence, Computational Design, Cognitive Science, EE, User Experience Research, or a related field. (If Associate’s Degree, must have minimum 6 years work experience)
- Minimum of 2 years of experience conducting advanced R\&D engineering related to AI, HCI, HRI, or Computational Design.
- 3 years of experience creating rapid prototypes that apply and test new ideas related to the interaction of emerging technologies and people’s experiences.
Bonus points if you have
- MS with experience in Human\-Computer/Human\-AI/Human\-Robot Interaction, Computer Science, Artificial Intelligence, Computational Design, Cognitive Science, EE, User Experience Research, or related field.
- Familiarity with building applications with hardware such as biosensing wearables, robotic systems, AR/XR devices, eye\-tracking and the like
- Proficiency in software development principles and common programming languages (such as Python, JavaScript), deep learning frameworks (such as TensorFlow or PyTorch) and experience in system programming (e.g., ROS2, Shell scripting, etc.) is highly desirable
- Understanding MLLM and VLM architectures, prompt engineering techniques, and Agentic processing stacks
- Expertise with user\-centered design practices and user experience research methodologies such as usability testing, interviews, focus groups, etc.
- Experience with data annotation or human\-in\-the\-loop systems
- Familiarity with cloud computing environments (e.g., AWS, GCP, Azure)
- Experience with code validation, testing, and debugging
Professional Skills Requirements
- Proven ability to create a project plan and execute against it
- Proven ability to work energetically within a high\-performance team
- Proven ability to work creatively and analytically in a problem\-solving environment
- Excellent communication (written and oral) and interpersonal skills
- Ability to embed in client\-delivery teams as needed, and willingness to travel to do that if needed.
Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below.
We anticipate this job posting will be posted until 06/30/2026\.
Accenture offers a market competitive suite of benefits including medical, dental, vision, life, and long\-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off. See more information on our benefits here:
U.S. Employee Benefits \| Accenture
Role Location Hourly Salary Range
California $30\.67 to $94\.23
Cleveland $28\.41 to $75\.38
Colorado $30\.67 to $81\.39
District of Columbia $32\.69 to $86\.68
Illinois $28\.41 to $81\.39
Maryland $30\.67 to $81\.39
Massachusetts $30\.67 to $86\.68
Minnesota $30\.67 to $81\.39
New York $28\.41 to $94\.23
New Jersey $32\.69 to $94\.23
Washington $32\.69 to $86\.68
San Francisco, CA
Requesting an Accommodation
Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.
If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at 1 (877\) 889\-9009 or send us an email or speak with your recruiter.
Equal Employment Opportunity Statement
We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.
Accenture is an EEO and Affirmative Action Employer of Veterans/Individuals with Disabilities.
Accenture is committed to providing veteran employment opportunities to our service men and women.
Other Employment Statements
Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.
Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.
Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Further, at Accenture a criminal conviction history is not an absolute bar to employment.
The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.
California requires additional notifications for applicants and employees. If you are a California resident, live in or plan to work from Los Angeles County upon being hired for this position, please for additional important information.
Please read Accenture’s Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process.
We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other.
We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work.
At Accenture, we see well\-being holistically, supporting our people’s physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We’re proud to be consistently recognized as one of the World’s Best Workplaces™.
Join Accenture to work at the heart of change. Visit us at www.accenture.com.
Salary Context
This $62K-$195K range is in the lower quartile for Research Engineer roles in our dataset (median: $185K across 51 roles with salary data).
View full Research Engineer salary data →Role Details
About This Role
Research Engineers bridge the gap between research and production. They implement papers, build experiment infrastructure, optimize training pipelines, and make research prototypes production-ready. They're the engineers who make research work at scale.
The role sits at a unique intersection. You need to understand the math well enough to implement novel architectures correctly, and you need the engineering chops to make them run efficiently on distributed systems. When a research scientist has a breakthrough idea, you're the person who turns it from a notebook prototype into a training pipeline that runs on 256 GPUs.
Across the 3,824 AI roles we're tracking, Research Engineer positions make up 2% of the market. At Logic, Inc., this role fits into their broader AI and engineering organization.
Research Engineer roles are growing as AI labs recognize that research velocity depends on engineering quality. The role is less competitive than Research Scientist (no PhD required), but the bar for engineering skill is very high. These roles are concentrated at major labs and well-funded startups.
What the Work Looks Like
A typical week involves: implementing a new attention mechanism from a recent paper, profiling and optimizing a training pipeline that's bottlenecked on data loading, building evaluation infrastructure for a new benchmark, debugging distributed training issues across a GPU cluster, and pair-programming with a research scientist on their latest experiment. The work is deeply technical.
Research Engineer roles are growing as AI labs recognize that research velocity depends on engineering quality. The role is less competitive than Research Scientist (no PhD required), but the bar for engineering skill is very high. These roles are concentrated at major labs and well-funded startups.
Skills Required
Strong software engineering fundamentals plus ML knowledge. Python, C++, and CUDA experience are common requirements. You'll need to read papers and turn ideas into working code. Distributed systems experience (especially distributed training) is highly valued. Performance optimization skills separate great candidates from good ones.
Experience with large-scale training infrastructure (FSDP, DeepSpeed, Megatron), GPU programming (CUDA, Triton), and the internals of ML frameworks (PyTorch internals, custom autograd functions) is what makes candidates stand out. The best research engineers can debug issues that span the full stack from GPU memory management to numerical precision to algorithmic correctness.
Strong postings mention the team's recent research, the infrastructure scale, and the specific technical challenges. They often list the research areas you'd support. Look for roles that emphasize both implementation quality and research understanding.
Compensation Benchmarks
Research Engineer roles pay a median of $260,000 based on 401 positions with disclosed compensation. Mid-level AI roles across all categories have a median of $160,000. This role's midpoint ($128K) sits 50% below the category median. Disclosed range: $62K to $195K.
Across all AI roles, the market median is $200,000. Top-quartile compensation starts at $253,000. The 90th percentile reaches $307,500. For comparison, the highest-paying categories include AI Engineering Manager ($293,500) and AI Safety ($274,200). By seniority level: Entry: $97,380; Mid: $160,000; Senior: $227,400; Director: $243,000; VP: $250,000.
Logic, Inc. AI Hiring
Logic, Inc. has 5 open AI roles right now. They're hiring across AI/ML Engineer, Research Engineer. Positions span Walnut Creek, CA, US, San Francisco, CA, US, Irving, TX, US. Compensation range: $160K - $338K.
Location Context
AI roles in San Francisco pay a median of $253,000 across 1,990 tracked positions. That's 26% above the national median.
Career Path
Common paths into Research Engineer roles include Software Engineer, ML Engineer, Research Intern.
From here, career progression typically leads toward Senior Research Engineer, Research Scientist, ML Architect.
This is one of the best entry points into AI research without a PhD. Build a strong engineering portfolio with ML projects, contribute to open-source ML frameworks, and demonstrate that you can implement complex ideas correctly and efficiently. The transition to Research Scientist is possible with published first-author work, which some research engineer roles support.
What to Expect in Interviews
Technical screens test both engineering skill and research understanding. Expect coding rounds with performance-critical implementations (GPU optimization, efficient data loading). Be prepared to discuss papers relevant to the team's research area and explain how you'd implement key ideas. System design questions focus on training infrastructure: distributed training, experiment tracking, and compute resource management.
When evaluating opportunities: Strong postings mention the team's recent research, the infrastructure scale, and the specific technical challenges. They often list the research areas you'd support. Look for roles that emphasize both implementation quality and research understanding.
AI Hiring Overview
The AI job market has 3,824 open positions tracked in our dataset. By seniority: 119 entry-level, 1,813 mid-level, 1,472 senior, and 420 leadership roles (Director, VP, C-Level). Remote roles make up 16% of the market (613 positions). The remaining 3,187 roles require on-site or hybrid attendance.
The market median for AI roles is $200,000. Top-quartile compensation starts at $253,000. The 90th percentile reaches $307,500. Highest-paying categories: AI Engineering Manager ($293,500 median, 31 roles); AI Safety ($274,200 median, 51 roles); Research Engineer ($260,000 median, 401 roles).
Research Engineer roles are growing as AI labs recognize that research velocity depends on engineering quality. The role is less competitive than Research Scientist (no PhD required), but the bar for engineering skill is very high. These roles are concentrated at major labs and well-funded startups.
The AI Job Market Today
The AI job market spans 3,824 open positions across 15 role categories. The largest categories by volume: AI/ML Engineer (2,702), Data Scientist (281), AI Software Engineer (258). These three account for the majority of open positions, though smaller categories often have higher per-role compensation because of specialized skill requirements.
The seniority mix tells a story about where AI teams are in their maturity. Entry-level roles (119) are outnumbered by mid-level (1,813) and senior (1,472) positions, reflecting that most companies are past the 'build a team from scratch' phase and need experienced engineers who can ship production systems. Leadership roles (Director, VP, C-Level) total 420 positions, representing the bottleneck between technical execution and organizational strategy.
Remote work availability sits at 16% of all AI roles (613 positions), with 3,187 requiring on-site or hybrid attendance. The remote share has stabilized after the post-pandemic correction. Senior and specialized roles (Research Scientist, ML Architect) are more likely to be remote-eligible than entry-level positions, partly because experienced hires have more negotiating power and partly because these roles require less hands-on mentorship.
AI compensation is structured in clear tiers. The market median sits at $200,000. Top-quartile roles start at $253,000, and the 90th percentile reaches $307,500. These figures include base salary with disclosed compensation. Total compensation (including equity, bonuses, and sign-on) runs 20-40% higher at companies that offer those components.
Category matters for compensation. AI Engineering Manager roles lead at $293,500 median, while Prompt Engineer roles sit at $142,800. The spread between highest and lowest-paying categories reflects the premium on specialized technical skills versus broader analytical roles.
The most in-demand skills across all AI postings: Python (1,968 postings), Aws (1,203 postings), Azure (882 postings), Rag (877 postings), Gcp (735 postings), Prompt Engineering (587 postings), Pytorch (586 postings), Claude (554 postings). Python dominates, appearing in the vast majority of role descriptions regardless of category. Cloud platform experience (AWS, GCP, Azure) is the second most common requirement. The newer entrants to the top skills list (RAG, vector databases, LLM APIs) reflect the shift from traditional ML toward generative AI applications.
Frequently Asked Questions
Get Weekly AI Career Intelligence
Salary data, skills demand, and market signals from 16,000+ AI job postings. Every Monday.