research engineer

University of New Mexico

<div><h2 class="jobSectionHeader"><b>Research Engineer 3</b></h2>
<div><div><div><div><b>Requisition ID</b></div> <div>req34769</div>
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<div><div><b>Working Title</b></div> <div>Research Engineer 3</div>
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<div><div><b>Position Grade</b></div> <div>15</div>
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<div><div><b>Position Summary</b></div>
<div><p><b>
Due to federal export control regulations, this position is limited to U.S. citizens and lawful permanent residents.</b></p>
<p>The COSMIAC Research Center is a nationally recognized research organization within the University of New Mexico School of Engineering that delivers applied engineering solutions for government and industry partners in areas including space systems, radiation effects, satellite communications, hypersonics, positioning, navigation and timing, and advanced computing. COSMIAC manages a substantial portfolio of externally sponsored research and operates a 30,000-square-foot research facility in Albuquerque with laboratories, high-bay and cleanroom space, satellite ground stations, and a dedicated radiation effects laboratory supporting both terrestrial and orbital testing. The center maintains long-standing partnerships with Sandia National Laboratories, the Air Force Research Laboratory, U.S. Space Command, and leading aerospace and defense companies, and provides an integrated research and technology transition environment that connects academic research with real-world mission needs.</p>
<p>The Research Engineer 3 is a senior, principal-investigator-level position responsible for providing technical leadership and strategic direction for complex, externally funded research programs within COSMIAC. This role emphasizes leading multidisciplinary teams of professional research staff, faculty, and students; establishing technical vision; leading proposal development and grant capture; managing funded programs; and maintaining strong sponsor relationships.
</p><p>As New Mexico&rsquo;s flagship R1 research university, UNM offers a collaborative and well-supported research environment with extensive federal partnerships and the institutional capacity to sustain long-term, high-impact research programs. Located in Albuquerque, the university benefits from close proximity to national laboratories and military installations, along with a growing science and technology workforce. The region offers a lower cost of living, short commute times, abundant outdoor recreation, and a rich cultural environment&mdash;providing an attractive balance of professional opportunity and quality of life.</p>
<p>Under general supervision, plans and conducts advanced engineering research in space systems requiring judgment in the independent evaluation, selection, and substantial adaptation and modification of standard techniques, procedures, and criteria. Devises new approaches to problems encountered in areas including, but not limited to: space-based communications and networking, electronics design for harsh environments, spacecraft subsystem development, control systems, radiation effects research, and mechanical systems for space applications. Provides technical leadership and serves as principal investigator on research projects of significant complexity and scope.</p>
<p><b>Note</b>: While applications received by the best consideration date will be given priority, we will continue to accept applications until the positions are filled. If this posting is still visible, the department is actively accepting applications and continues to seek candidates to fill multiple vacancies. Please note that all positions are term, and are based on funding availability. Additional funding is expected but not guaranteed.
</p><p><b>Duties and Responsibilities</b></p>
<ul><li>Plans and conducts advanced engineering research requiring judgment in the independent evaluation, selection, and substantial adaptation and modification of standard engineering and scientific techniques for space systems applications including communications, electronics, controls, radiation hardening, and space systems engineering.</li><li>
Applies an analytical approach to the solution of a wide variety of problems in space systems development, or applies specialized techniques or ingenuity in selecting and evaluating approaches to unforeseen or novel problems in areas such as satellite networking, radiation-tolerant electronics design, spacecraft attitude control, or space-qualified mechanical systems.</li><li>
Demonstrates and applies thorough understanding of advanced engineering methods, research protocols, assessment instruments, and data interpretation for space systems research and development.</li><li>
Independently performs most research assignments with instructions as to the general results expected; receives guidance on unusual or complex problems; exercises substantial technical judgment in adapting methodologies to specific research challenges.</li><li>
Designs, performs, and/or oversees complex engineering experiments, tests, and data collection campaigns to ensure data integrity, quality control, and protocol compliance for space systems characterization, qualification, and flight acceptance.</li><li>
Coordinates activities of engineering functions across multiple technical disciplines and encourages interchange of information, ideas, and techniques among communication systems, electronics, controls, mechanical, and test engineering domains.</li><li>
Reviews and evaluates results and conclusions of research projects, providing critical technical assessment and recommendations for future work directions.</li><li>
Writes or leads the development of grant proposals for government sponsors including AFRL, SDA, DARPA, NASA, and other agencies; serves as principal investigator on projects of complexities consistent with above criteria, managing technical execution, budget, and schedule.</li><li>
Provides technical leadership and mentorship to junior engineers, graduate students, and undergraduate researchers, fostering professional development and technical skill growth.</li><li>
Develops innovative solutions and novel approaches to space systems challenges, including new communication architectures, radiation mitigation strategies, advanced control algorithms, or innovative mechanical designs.</li><li>
Interfaces with government sponsors, industry partners, and academic collaborators, translating mission needs into technical requirements and research approaches.</li><li>
Presents technical findings at conferences, publishes research results in peer-reviewed journals, and contributes to the advancement of space systems technology through patents and technical reports.</li><li>
Maintains currency of knowledge with respect to relevant state-of-the-art technology, equipment, and systems in space communications, electronics, radiation effects, control systems, and mechanical engineering for space applications.</li><li>
Manages technical aspects of research programs including work breakdown, milestone planning, risk management, and subcontractor coordination.</li><li>
Develops and maintains laboratory capabilities, including procurement and configuration of specialized test equipment and systems for space systems research.</li><li>
Performs miscellaneous job-related duties as assigned.</li></ul>
<p>
See the Position Description for additional information.</p></div><br>
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<div><div><b>Conditions of Employment</b></div>
<ul><li>Professional Engineer (PE) may be required, depending upon field of expertise.</li><li>
Successful candidate must submit to post-offer, pre-employment physical examination and medical history check.</li></ul>
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<div><div><b>Minimum Qualifications</b></div>
<div><p>
Bachelor's degree in a directly related field; at least 3 years of experience directly related to the duties and responsibilities specified.</p><p>
Completed degree(s) from an accredited institution that are above the minimum education requirement may be substituted for experience on a year for year basis.</p></div></div><br>
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<div><b>Preferred Qualifications</b></div>
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Preferred Qualifications</b></p><ul><li>
Strong technical writing skills with experience producing reports, proposals, or presentations for research sponsors.</li><li>
Experience working with Space systems</li></ul></div>
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<div><div><b>Additional Requirements</b></div> <div>Due to the nature of COSMIAC's research activities, candidates must be eligible to obtain a DoD security clearance</div>
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<div><div><b>Campus</b></div> <div>Main - Albuquerque, NM</div>
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<div><div><b>Department</b></div> <div>COSMIAC (282A)</div>
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<div><div><b>Employment Type</b></div> <div>Staff</div>
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<div><div><b>Staff Type</b></div> <div>Term - Full-Time</div>
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<div><div><b>Term End Date</b></div> <div>06/30/2026</div>
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<div><div><b>Status</b></div> <div>Exempt</div>
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<div><div><b>Pay</b></div> <div>Monthly: $5,844.80 - $8,366.80</div>
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<div><div><b>Benefits Eligible</b></div> <div>This is a benefits eligible position. The University of New Mexico provides a comprehensive package of benefits including medical, dental, vision, and life insurance. In addition, UNM offers educational benefits through the tuition remission and dependent education programs. See the Benefits home page for a more information.</div>
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<div><div><b>ERB Statement</b></div> <div>As a condition of employment, eligible employees working greater than .25 FTE as determined by the New Mexico Education Retirement Act must make mandatory retirement contributions. For more information, review the Benefits Eligibility at a Glance grid.</div>
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<div><div><b>Background Check Required</b></div> <div>Yes</div>
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<div><div><b>For Best Consideration Date</b></div> <div>4/3/2026</div>
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<div><div><b>Eligible for Remote Work</b></div>
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<div></div><div><div><b>Eligible for Remote Work Statement</b></div>
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<div></div><div><div><b>Application Instructions</b></div>
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<p>Only applications submitted through the official UNMJobs site will be accepted. If you are viewing this job advertisement on a 3rd party site, please visit UNMJobs to submit an application.</p>
Please include resume, cover letter, and contact information for 3 professional references.</div><br>
</div><br>
<div><div><p><b>Positions posted with a Staff Type of </b><b><i>Regular</i></b><b> or </b><b><i>Term</i></b><b> are eligible for the Veteran Preference Program. See the </b><b>Veteran Preference Program webpage </b><b>for additional details.
</b></p><p>The University of New Mexico is committed to hiring and retaining a diverse workforce. We are an Equal Opportunity Employer, making decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, veteran status, disability, or any other protected class.</p>
<p>
The University of New Mexico requires all regular staff positions successfully pass a pre-employment background check. This may include, but is not limited to, a criminal history background check, New Mexico Department of Health fingerprint screening, New Mexico Children, Youth, and Families Department fingerprint screening, verification of education credentials, and/or verification of prior employment. For more information about background checks, visit https://policy.unm.edu/university-policies/3000/3280.html. Refer to https://policy.unm.edu/university-policies/3000/3200.html for a definition of Regular Staff.</p></div></div></div></div></div><div></div>

Research Engineer 3

Adobe

The Opportunity
<br><br>
The Research Engineering & Design Lab within Adobe Research is looking for a Research Engineer with a passion for the unique challenges involved in the development of high-performance ML models, with a particular focus on optimizing the resource consumption of large-scale generative models, including for cloud and on-device deployment. 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.
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What you'll Do
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At Adobe Research, you will work closely with both scientists and engineers to ensure that new technologies being developed for generative AI models, image processing, audio, video, animation, 3D and vector graphics will run efficiently in-cloud and on a variety of platforms. You'll help adapt models and algorithms to the limitations of different systems and devices. You will have the opportunity to:
<br>Play a key collaborative role in ambitious research projects
<br>Be valued as a specialist in your domain of expertise
<br>Build innovative tool that enables users to explore their creative potential
<br>Contribute to existing Adobe tools as well as completely new applications
<br>Impact products that are used by tens of millions of people
<br>Learn from your peers and grow into new opportunities
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What you need to succeed
<br>Passion for model optimization/compression and high-performance computing
<br>Solid deep learning skills, including practical experience in computer vision/natural language processing
<br>Knowledgeable about the current state of the art in ML efficiency
<br>Experience in improving the efficiency of mid- to large-scale ML models
<br>Software engineering expertise
<br>Proficiency with Python and ML libraries like PyTorch, TensorFlow, JAX, or similar
<br>Strong communication and collaboration skills
<br>Ph.D. /Master's degree in Computer Science or a related field, or 3 years of industry experience
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Additional Desirable Qualifications
<br>Knowledge of state-of-the-art machine learning methods for large scale multimodal models
<br>Experience on diffusion model optimization, neural network pruning/knowledge distillation/quantization/architecture search, sub-quadratic attention optimization, efficient architecture design and on-device ML
<br>Experience with sparse mixture of experts and related techniques
<br>Experience running ML models within a deployment environment (using TensorRT, AITemplate, CoreML, WinML, TensorFlow Lite, ONNXRuntime or similar)
<br>Hands-on experience in designing ML models between different platforms (Cloud, mobile, in-browser, etc.)
<br>Knowledge of design techniques for mobile-friendly ML models
<br>Proficiency with C++
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About Adobe
<br>Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe’s industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.
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Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We’re on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours.
<br><br>
Let’s Adobe together
<br>At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture , focus on people, purpose and community , Adobe for All , comprehensive benefits programs , the stories we tell , the customers we serve, and how you can help us advance our mission of empowering everyone to create.
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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 protected characteristic. Learn more.
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Adobe aims to make our Careers website and recruiting process 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 +1 408-536-3015.
<br><br>
<b>AI Use Guidelines for Interviews:</b><br>
Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process.
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At Adobe, we empower employees to innovate with AI — and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it’s restricted during live interviews. See how we think about AI in the hiring experience .
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<b>Expected Pay Range:</b> 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.
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In Washington, the pay range for this position is $146,300 - $211,850
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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).
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In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.
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<b>State-Specific Notices:</b><br>
<b>California :</b><br>
Fair Chance Ordinances
<br>Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.
<br><br>
<b>Colorado:</b><br>
Application Window Notice
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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.
<br><br>
<b>Massachusetts:</b><br>
Massachusetts Legal Notice
<br>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.

Research Engineer

California Institute of Technology

<div><div><p>Caltech is a world-renowned science and engineering institute that marshals some of the world's brightest minds and most innovative tools to address fundamental scientific questions. We thrive on finding and cultivating talented people who are passionate about what they do. Join us and be a part of the diverse Caltech community.</p><p></p><h4 class="jobSectionHeader"><b>
Job Summary</b></h4><p>
The Research Engineer will be responsible for the development of a thermal laser epitaxy system, leading the design, integration, and optimization of advanced laser-based deposition equipment for materials growth and thin-film research. The role involves developing and refining thermal and optical subsystems, conducting experimental validation, and translating research requirements into reliable instrumentation. In addition to system development, the Research Engineer will oversee laboratory infrastructure, including equipment maintenance, safety compliance, and coordination of facility upgrades to support ongoing experimental work. This position combines hands-on engineering, experimental research support, and operational management of laboratory resources.</p><h4 class="jobSectionHeader"><b>
Essential Job Duties</b></h4><ul><li>
Design and Development of a Thermal Laser Epitaxy System: Lead the design, development, and optimization of a thermal laser epitaxy system for advanced materials growth, including integration of laser, thermal management, vacuum, motion control, and diagnostic subsystems.</li><li>
System Integration and Testing: Assemble, integrate, and commission hardware and software components of the epitaxy platform; conduct performance testing, calibration, and troubleshooting to ensure reliable and repeatable operation.</li><li>
Experimental Support and Process Development: Collaborate with research scientists to develop and refine epitaxial growth processes, design experiments, and analyze system performance to improve thin-film deposition quality and throughput.</li><li>
Instrumentation and Controls Engineering: Develop and maintain system control architecture, including sensors, data acquisition systems, and automation software to support precise control of temperature, laser parameters, and deposition conditions.</li><li>
Maintenance and Reliability Management: Establish preventive maintenance procedures, perform diagnostics and repairs on critical laboratory equipment, and coordinate service and upgrades to minimize downtime.</li><li>
Laboratory Infrastructure Management: Oversee laboratory infrastructure, including vacuum systems, gas delivery systems, cooling systems, power distribution, and safety equipment to ensure proper functionality and compliance with institutional standards.</li><li>
Safety and Compliance: Ensure adherence to laser safety, electrical safety, chemical handling, and laboratory operational protocols; maintain documentation and coordinate with the laboratory safety officer for training as required.</li><li>
Procurement and Vendor Coordination: Identify equipment needs, evaluate technical specifications, manage procurement processes, and coordinate with vendors and service providers for installation, maintenance, and upgrades.</li><li>
Documentation and Reporting: Prepare technical documentation including system designs, operating procedures, maintenance logs, and experimental reports to support reproducibility and knowledge transfer.</li><li>
Collaboration and Project Coordination: Work closely with an interdisciplinary team of researchers to support experimental campaigns, plan facility improvements, and ensure effective operation of laboratory resources.</li></ul><h4 class="jobSectionHeader"><b>
Basic Qualifications</b></h4><ul><li>
Education: Ph.D. in Mechanical Engineering, Electrical Engineering, Materials Science, Applied Physics, or a closely related engineering or scientific field.</li><li>
Experience: Several years of hands-on experience in research engineering, scientific instrumentation development, or advanced laboratory environments.</li><li>
Engineering Knowledge: Strong understanding of thermal systems, optics/laser systems, vacuum technology, and precision instrumentation commonly used in materials growth or thin-film deposition.</li><li>
System Integration: Experience integrating complex hardware systems, including sensors, motion control, vacuum components, and data acquisition systems.</li><li>
Experimental Skills: Demonstrated ability to design, execute, and analyze laboratory experiments involving advanced materials processing or characterization.</li><li>
Troubleshooting: Strong diagnostic and problem-solving skills for complex electromechanical and optical systems.</li><li>
Technical Documentation: Ability to prepare clear technical documentation including system designs, standard operating procedures, and maintenance records.</li><li>
Laboratory Operations: Experience supporting laboratory infrastructure, including equipment maintenance, calibration, and facility operations.</li><li>
Collaboration and Communication: Ability to work effectively with multidisciplinary research teams and communicate technical information clearly.</li><li>
Safety Awareness: Knowledge of laboratory safety practices, particularly related to lasers, vacuum systems, electrical systems, and hazardous materials.</li></ul><h4 class="jobSectionHeader"><b>
Preferred Qualifications</b></h4><ul><li>
Physical Vapor Deposition (PVD) Experience: Direct experience with PVD growth techniques such as laser-based deposition, molecular beam epitaxy (MBE), pulsed laser deposition (PLD), electron-beam evaporation, or thermal laser epitaxy/evaporation (TLE).</li><li>
Laser Systems Expertise: Experience designing, integrating, or operating high-power or pulsed laser systems used in research instrumentation.</li><li>
Vacuum and Thin-Film Systems: Advanced knowledge of ultra-high vacuum (UHV) systems, thin-film growth equipment, and associated diagnostics.</li><li>
Automation and Controls: Experience with laboratory automation, control systems, or programming environments (e.g., LabVIEW, Python, MATLAB, or similar tools).</li><li>
Instrumentation Design: Experience designing custom experimental apparatus, including mechanical components, optical layouts, and thermal management solutions.</li><li>
Facility or Laboratory Management: Experience managing shared laboratory facilities, coordinating equipment usage, and overseeing infrastructure improvements.</li><li>
Project Management: Demonstrated ability to manage technical projects, coordinate with vendors, and oversee equipment procurement and installation.</li><li>
Safety Certification or Leadership: Experience serving as a laboratory safety officer or managing compliance for laser or research laboratories.</li><li>
Publication or Research Record: Evidence of contributions to scientific research through technical reports, patents, or peer-reviewed publications related to materials processing or instrumentation.</li></ul><h4 class="jobSectionHeader"><b>
Required Documents</b></h4><ul><li>
CV</li></ul>
</div><div><div><div><div><h2 class="jobSectionHeader"><b>Hiring Range</b></h2>
<p>
$38.50 to $54.25 per hour<br>
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The salary of the finalist(s) selected for this role will be set based on a variety of factors, including but not limited to, internal equity, experience, education, specialty and training.
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As one of the largest employers in Pasadena, CA, Caltech is committed to providing comprehensive benefits to eligible employees and their eligible dependents. Our benefits package includes competitive compensation, health, dental, and vision insurance, retirement savings plans, generous paid time off (vacation, holidays, sick time, parental leave, bereavement, etc.), tuition reimbursement, and more. Non-benefit eligible employees will have access to some benefits such as onsite counseling and sick time. Learn more about our benefits and staff perks.</p><br>
<h2 class="jobSectionHeader"><b>
EEO Statement</b></h2>
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We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, or national origin, disability status, protected veteran status, or any other characteristic protected by law.<br>
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Caltech is a VEVRAA Federal Contractor.</p>
<p>
To read more Equal Employment Opportunity (EEO) go to eeoc_self_print_poster.pdf.</p>
</div>
</div></div></div><div><div><div><div><h2 class="jobSectionHeader"><b>Disability Accommodations</b></h2><p>
Caltech complies with the Fair Employment and Housing Act (FEHA) and the Americans with Disabilities Act (ADA). We consider reasonable accommodation measures that may be necessary for eligible applicants and employees to perform the essential functions of a position.</p><p>
If you would like to request an accommodation to complete this application, interview, or otherwise participate in the employee selection process, please contact Caltech Recruiting at employment@caltech.edu.</p><p>
Additionally, if you do not meet the basic qualifications of a role but believe you can perform the essential functions of the job with reasonable accommodation, please reach out to Caltech Recruiting at employment@caltech.edu.</p></div></div></div></div></div><p></p>

Hiring Talent

<p>A fast paced startup Company is hiring an AI Research Engineer.</p><p><b>Job Type:</b> Full-time, onsite</p><p><b>Shift Timings:</b> 3 pm to 12 am</p><p><b>Location:</b> Shahrah-e-Faisal, Karachi</p><p><b>Industry:</b> AI / Fintech</p><p><b>Responsibilities</b></p><p>&middot; Research and evaluate techniques for improving LLM reasoning, accuracy, and efficiency &mdash; including prompting strategies, fine-tuning, distillation, and model selection</p><p>&middot; Design and run rigorous experiments with proper baselines, ablations, and statistical analysis to measure the impact of each technique</p><p>&middot; Build evaluation frameworks and benchmarks to systematically measure model quality across Yara's key tasks</p><p>&middot; Improve retrieval-augmented generation pipelines &mdash; embedding models, chunking strategies, re-ranking, query decomposition, and context window optimization</p><p>&middot; Explore fine-tuning approaches (LoRA, RLHF, DPO) to adapt foundation models for domain-specific performance</p><p>&middot; Study and reduce failure modes &mdash; hallucination, instruction drift, reasoning errors, and inconsistent structured output generation</p><p>&middot; Stay current with the research landscape (papers, open-source releases, model updates) and identify techniques with high applicability to Yara's use cases</p><p>&middot; Prototype emerging approaches (chain-of-thought, self-consistency, tool-use planning, multi-agent coordination) and measure real-world impact</p><p>&middot; Translate research findings into production-ready improvements and document results for the engineering team</p><p><b>Requirements:</b></p><p>&middot; 4-5 years in ML/AI research or applied AI engineering</p><p>&middot; Strong understanding of LLM architectures, training dynamics, and inference optimization</p><p>&middot; Hands-on experience with fine-tuning (LoRA, RLHF, DPO) and systematic model evaluation</p><p>&middot; Proficient in Python and ML frameworks (PyTorch,HuggingFace Transformers)</p><p>&middot; Experience designing experiments with proper controls, ablations, and reproducibility</p><p>&middot; Familiarity with RAG systems, embedding models, and retrieval pipelines</p><p>&middot; Strong written communication &mdash; ability to produce clear internal research reports and technical documentation</p><p>Interested candidates may apply.</p><p>Application Question(s):</p><ul><li>Are you willing to work onsite from 3 pm to 12 am ?</li></ul><p>Education:</p><ul><li>Bachelor's (Preferred)</li></ul><p>Experience:</p><ul><li>ML/AI research: 4 years (Preferred)</li><li>ML frameworks: 4 years (Preferred)</li><li>fine tuning and systematic model evaluation: 4 years (Preferred)</li><li>RAG system: 2 years (Preferred)</li></ul><p>Work Location: In person</p>

AI Research Engineer

Research Engineer, FAIR AI & Society

Zyphra

<div>
 <strong>
  Zyphra
 </strong>
 is an artificial intelligence company based in San Francisco, California.
 <br/>
 <br/>
 <strong>
  The Role:
  <br/>
  <br/>
 </strong>
 As a
 <strong>
  Research Engineer - Brain Computer Interface Models
 </strong>
 , you will be a core contributor to Zyphra&rsquo;s BCI work, building the next generation of open-source EEG and brain&ndash;computer interface models. You will be involved across the full model lifecycle, from data collection and preprocessing to designing novel architectures and training methodologies.
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 <strong>
  You&rsquo;ll Work Across:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Large-scale EEG model training runs and evaluation
  </li>
  <li>
   Architecture and training methodology ablations and innovations
  </li>
  <li>
   Dataset collection and preprocessing for EEG and other BCI modalities
  </li>
  <li>
   Performance optimization of the training stack
  </li>
  <li>
   Integration of models into real-world BCI applications
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What We're Looking For / Requirements:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Organized, methodical researcher who can take ownership of a project component, communicate their process clearly, and deliver a working module
  </li>
  <li>
   Excellent communication and collaboration skills, with clean and concise coding practices
  </li>
  <li>
   Strong implementation and prototyping skills, with comfort working across both research and engineering at scale
  </li>
  <li>
   Ability to learn new domains quickly, orient oneself in the academic literature, and implement new ideas, creatively borrowing concepts from other modalities and applying them to EEG domain
  </li>
  <li>
   Interest in neural data such as EEG, MEG, fMRI as well as building foundation models in a much less explored space
  </li>
  <li>
   Proficiency with PyTorch and Python
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   <br/>
  </li>
 </ul>
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  Qualifications / Additional Skills:
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 </strong>
 <ul>
  <li>
   Experience with VAEs, GANs, diffusion models, and contrastive learning
  </li>
  <li>
   Familiarity with signal processing (especially for EEG) and time-series analysis
  </li>
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   Experience training on large-scale (multi-node) GPU clusters
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   Experience contributing to large existing codebases and ramping up quickly
  </li>
  <li>
   Previously published machine learning research in well-respected venues
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   <br/>
  </li>
 </ul>
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  Why Work at Zyphra:
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 </strong>
 <ul>
  <li>
   Our research methodology is grounded in methodical, step-by-step approaches to ambitious goals. Both deep research and engineering excellence are equally valued
  </li>
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   We strongly value new and crazy ideas and are very willing to bet big on new ideas
  </li>
  <li>
   We move as quickly as we can; we aim to minimize the bar to impact as low as possible
  </li>
  <li>
   We all enjoy what we do and love discussing AI
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Benefits and Perks:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Comprehensive medical, dental, vision, and FSA plans
  </li>
  <li>
   Competitive compensation and 401(k) plan
  </li>
  <li>
   Relocation and immigration support on a case-by-case basis
  </li>
  <li>
   In-office snacks and meals provided
  </li>
  <li>
   Unlimited PTO and company holidays
  </li>
  <li>
   In-person team in San Francisco with a collaborative, high-energy environment
   <br/>
   <br/>
  </li>
 </ul>
</div>


Research Engineer - Brain Computer Interface Models

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Research Engineer - Brain Computer Interface Models