technical research scientist

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2>
Are you motivated to explore research in ambiguous spaces? Are you interested in conducting research that will improve the employee and manager experience at Amazon? Do you want to work on an interdisciplinary team of scientists that collaborate rather than compete? Join us at PXT Central Science! 
 
The People eXperience and Technology Central Science Team (PXTCS) uses economics, behavioral science, statistics, and machine learning to proactively identify mechanisms and process improvements which simultaneously improve Amazon and the lives, wellbeing, and the value of work to Amazonians. We are an interdisciplinary team that combines the talents of science and engineering to develop and deliver solutions that measurably achieve this goal. 
 
We are seeking a senior Applied Scientist with expertise in more than one or more of the following areas: machine learning, natural language processing, computational linguistics, algorithmic fairness, statistical inference, causal modeling, reinforcement learning, Bayesian methods, predictive analytics, decision theory, recommender systems, deep learning, time series modeling. In this role, you will lead and support research efforts within all aspects of the employee lifecycle: from candidate identification to recruiting, to onboarding and talent management, to leadership and development, to finally retention and brand advocacy upon exit. 
 
The ideal candidate should have strong problem-solving skills, excellent business acumen, the ability to work independently and collaboratively, and have an expertise in both science and engineering. The ideal candidate is not methods-driven, but driven by the research question at hand; in other words, they will select the appropriate method for the problem, rather than searching for questions to answer with a preferred method. The candidate will need to navigate complex and ambiguous business challenges by asking the right questions, understanding what methodologies to employ, and communicating results to multiple audiences (e.g., technical peers, functional teams, business leaders). 
 
About the team 
We are a collegial and multidisciplinary team of researchers in People eXperience and Technology (PXT) that combines the talents of science and engineering to develop innovative solutions to make Amazon Earth's Best Employer. We leverage data and rigorous analysis to help Amazon attract, retain, and develop one of the world&rsquo;s largest and most talented workforces.<h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>3+ years of building machine learning models for business application experience</li><li>PhD, or Master's degree and 6+ years of applied research experience</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience with neural deep learning methods and machine learning</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.</li><li>Experience with large scale distributed systems such as Hadoop, Spark etc.</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, NY, New York - 183,800.00 - 248,700.00 USD annually 
USA, VA, Arlington - 167,100.00 - 226,100.00 USD annually 
USA, WA, Seattle - 167,100.00 - 226,100.00 USD annually</div>

Senior Applied Scientist, People eXperience & Technology Central Science (PXTCS)

Adobe

Join Adobe Firefly’s Applied Science & Machine Learning (ASML) group and help advance content generation technologies powered by artificial intelligence. This role involves working closely with a motivated team on refining and compressing large-scale AI models. Your efforts will affect millions of users.
 Job Description
 Adobe is dedicated to changing the world through digital experiences. We offer everything needed to build and deliver outstanding experiences to everyone—from emerging artists to global brands. We are passionate about enabling people to develop beautiful images, videos, and apps. We also help companies change how they connect with customers across all screens. Our mission is to hire top talent and build outstanding employee experiences with respect and equal opportunity for all. New ideas can come from anywhere in our organization, including from you.
 Adobe Firefly’s Applied Science & Machine Learning (ASML) group invites an Applied Scientist / Machine Learning Engineer passionate about post-training and distillation of large generative AI models to join the team. This role will focus on raising the quality, efficiency, and deployability of Adobe’s generative models for images and videos. The chosen candidate will collaborate with researchers and engineers to build and refine post-training pipelines such as supervised fine-tuning (SFT), preference optimization, and model distillation. These efforts will facilitate adapting large complex models into efficient production versions.
 This role influences the performance and scalability of Firefly’s generative AI systems, facilitating next-generation creative functionalities for millions of users. As an Applied Scientist at Adobe, you will join a distinguished team of applied researchers and engineers committed to developing and improving generative AI systems. You will work alongside data, modeling, and infrastructure groups to implement post-training upgrades into production systems that support Adobe products.
 Job Responsibilities
 Develop and run distillation pipelines to transfer capabilities from large teacher models into smaller, efficient student models.
 Carry out and refine post-training methods including supervised fine-tuning (SFT), preference optimization (DPO/GRPO), and reward-based learning.
 Build infrastructure and tools for teacher rollout creation, distillation data pipelines, and training workflows.
 Carry out experiments aimed at improving model quality, efficiency, and instruction alignment for generative AI models.
 Collaborate closely with research scientists to convert research ideas into scalable training pipelines and production-ready implementations.
 Evaluate models using both automated metrics and human preference signals to guide post-training improvements.
 Optimize models for deployment efficiency, including distillation, model compression, and inference performance.
 Collaborate with various groups such as data, research, and product units to incorporate post-training improvements into Adobe Firefly systems. What you need to succeed
 Expertise in machine learning algorithms and model distillation techniques
 Strong programming skills in Python or similar languages
 Experience with AI model training and optimization
 Preferred qualifications: Advanced degree or relevant experience in a related field, background in large-scale data pipelines, and knowledge of Adobe products.
 #FireflyGenAI
 
About Adobe
 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.
 
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.
 
Let’s Adobe together
 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.
 
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.
 
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.
 
AI Use Guidelines for Interviews: 
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.
 
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 .
 
Expected Pay Range: 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.

Applied Scientist 3

Divinatory Solutions

URGENT HIRING &ndash; Technical Research Analyst (Experienced) Immediate Joiners PreferredAre you passionate about research, data analytics, and technical writing? Do you have a strong grip on financial, economic, or business research? If yes, we want YOU on our team!We&rsquo;re seeking a detail-oriented and highly analytical Technical Research Analyst who can deliver impactful, data-driven insights and high-quality research reports.What You&rsquo;ll Be Doing: Conduct in-depth academic and financial research Collect, analyze, and interpret secondary data from credible sources Develop high-quality research papers, analytical reports &amp; case studies Apply quantitative &amp; qualitative research methodologiesRequired Skills &amp; Expertise: Strong command of referencing styles (APA, MLA, Chicago, Harvard) Hands-on experience with Excel, Python, Matlab, SSPSS, NVivo, AI, ML, data analytics , cyber security knowledge must Experience with research databases (Google Scholar, JSTOR, etc.) Excellent analytical thinking &amp; technical report writing skillsQualifications: Bachelor&rsquo;s degree in Computer Science, Software Engineering, AI, IT 1&ndash;3 years of relevant professional experience Prior experience in research-driven or analytical roles is highly preferred Freshers are also encouraged to applyWhy Join Us? Work on high-impact, research-focused projects Strengthen your analytical &amp; technical expertise Be part of a professional, growth-oriented environment Opportunity to work with a skilled and collaborative teamReady to Apply? Send your updated resume to: hr@divinatorysolutions.comDon&rsquo;t miss this opportunity&mdash;apply now and grow with us!Job Type: Full-timePay: Rs60,000.00 - Rs80,000.00 per monthWork Location: In person

Technical Research Analyst

Noblis

<div>Responsibilities:
<ul><li>This job posting is for upcoming opportunities.</li></ul><div></div><div> 
We are seeking a Senior Scientist / Subject Matter Expert - Technology with extensive expertise with the Deputy Assistant Secretary of War for Chemical, Biological, Radiological, and Nuclear Defense (DASW(CBRND)) within the Washington, DC area to join our team.</div><div></div><div> 
Responsibilities:</div><ul><li>
Serve as subject matter expert on CB defense physical programs including detection, protection, and decontamination technologies.</li><li>
Review and critique the S&amp;T investment portfolio, analyzing technology development programs and technical performance across the CBDP.</li><li>
Design oversight initiatives to assess technical and programmatic alignment, monitoring technology readiness assessments and technology maturation plans.</li><li>
Evaluate technology transfer and transition plans, reviewing scientific proposals and technical documents for physical defense systems.</li><li>
Support ODASD(CBD) at international conferences and technical meetings, analyzing NATO programs on CBRN issues.</li><li>
Develop technology roadmaps and capability assessments, supporting Advanced Concept/Joint Capability Technology Demonstrations and Wargames.</li><li>
Develop CB vignettes for exercises with Joint Staff and Intelligence Community, supporting CBRN future threats and readiness assessments.</li></ul>
Required Qualifications:
<div>
Bachelor's degree</div><ul><li>
Minimum of 10 years of related experience.</li><li>
Active Top Secret clearance with SCI eligibility</li><li>
US citizenship</li></ul>
Desired Qualifications:
<ul><li>Bachelor's degree in physical or life sciences (advanced degree highly preferred).</li><li>
Experience within one of the components of the Chemical and Biological Defense Program or with an interagency equivalent.</li><li>
Expertise in detection, protection, or decontamination technologies.</li><li>
Knowledge of emerging technologies in chemical and biological defense.</li><li>
Experience evaluating technical solutions and providing expert recommendations.</li></ul>
Overview:
<div>
Overview</div><div>
Noblis and our wholly owned subsidiaries, Noblis ESI and Noblis MSD, take on some of the nation&rsquo;s toughest challenges, delivering advanced solutions to our customers&rsquo; most critical missions. We bring together leading scientific, engineering, and management expertise in a culture grounded in objectivity and collaboration, ensuring our work creates lasting impact across federal missions.</div><div></div><div> 
We work with a broad range of government agencies in the defense, intelligence, and federal civilian sectors. Learn more and find opportunities at careers.noblis.org</div><div></div><div> 
Why Work at Noblis</div><div></div><div> 
At Noblis, we share a passion for excellence and innovation, and we create an environment where people can do meaningful work while maintaining the balance that keeps them energized and fulfilled. We seek out individuals with a natural curiosity and desire to collaborate and learn. We believe our people are our greatest strength, and we consistently seek exceptionally skilled, mission‑driven professionals who care deeply about doing work that enriches lives and makes our nation safer.</div><div></div><div> 
Noblis has earned numerous workplace awards for our culture, our commitment to employee well‑being, and our dedication to meaningful, impactful work. We also maintain a drug‑free workplace.</div><div></div><div> 
Remote/hybrid status is subject to change based on Noblis and/or government requirements.</div>
Commitment to Non-Discrimination:
<div>
All qualified applicants will receive consideration for employment without regard to race, color, ethnicity, sex, age, national origin, religion, physical or mental disability, pregnancy/childbirth and related medical conditions, veteran or military status, or any other characteristics protected by applicable federal, state, or local law.</div><div></div><div> 
If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact us.</div><div>
EEO is the Law | E-Verify | Right to Work</div> 
 
Total Rewards:
<div>
At Noblis we recognize and reward your contributions, provide you with growth opportunities, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, and work-life programs. Our award programs acknowledge employees for exceptional performance and superior demonstration of our service standards. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in our benefit programs. Other offerings may be provided for employees not within this category. We encourage you to learn more about our total benefits by visiting the Benefits page on our Careers site.</div><div></div><div> 
Compensation at Noblis is determined by various factors, including but not limited to, the combination of education, certifications, knowledge, skills, competencies, and experience, internal and external equity, location, clearance level, as well as contract-specific affordability, organizational requirements and applicable employment laws. The projected compensation range for this position is based on full time status. For part time or on-call staff, compensation is proportionately adjusted based on hours worked. While monetary compensation is important, it's just one component of Noblis&rsquo; total compensation package.</div> 
 
Posted Salary Range: USD $109,800.00 - USD $171,525.00 /Yr.</div>

Senior Scientist / Subject Matter Expert – Technology

Children's Hospital of Philadelphia

<div>SHIFT:
Day (United States of America)
Seeking Breakthrough Makers 
Children&rsquo;s Hospital of Philadelphia (CHOP) offers countless ways to change lives. Our diverse community of more than 20,000 Breakthrough Makers will inspire you to pursue passions, develop expertise, and drive innovation.
 
At CHOP, your experience is valued; your voice is heard; and your contributions make a difference for patients and families. Join us as we build on our promise to advance pediatric care&mdash;and your career.
 
 
CHOP does not discriminate on the basis of race, color, sex, national origin, religion, or any other legally protected categories in any employment, training, or vendor decisions or programs. CHOP recognizes the critical importance of a workforce rich in varied backgrounds and experiences and engages in ongoing efforts to achieve that through equally varied and non-discriminatory means. 
 
A Brief Overview 
This entry-level research technical role participates in a planned research projects by performing research protocols, experimental procedures and other laboratory tasks under direct supervision. May occasionally exercise minimal discretion and judgment in execution and interpretation of experiments, and of data derived.
 
 
What you will do<ul><li>
Performs routine tests / experiments under the direction of principal investigator, supervisor or other designee</li>
<li>Performs research procedures on experimental samples as directed</li>
<li>Records and checks experiments/ results for completeness and accuracy</li>
<li>Performs calculations and maintains appropriate log and lab notebooks</li>
<li>Performs tasks that require familiarity with fundamental techniques and lab equipment</li>
<li>May assist with planning specific research protocols and procedures</li>
<li>Maintains office, lab area, solutions, reagents, supplies and equipment, disposes of specimens, media and other materials (using appropriate procedures)</li>
<li>Assists in care and maintenance of lab equipment</li>
<li>May coordinate schedules of tests and procedures</li>
<li>Attends courses, seminars, and lab meetings to expand knowledge of research and laboratory techniques</li>
<li>Records results, organizes data and maintains lab notebook in an organized manner</li>
<li>Compiles and helps analyze data, prepares charts, graphs, and results of studies as directed</li>
<li>Conducts literary searches as directed</li></ul>
Education Qualifications<ul><li>
High School Diploma / GED Required
</li><li>Associate's Degree Preferred
</li><li>Bachelor's Degree Preferred
</li></ul>Experience Qualifications<ul><li>
At least one (1) year of related classroom experience or successful completion of a technical training program (eg. Wistar, WPSI) and research laboratory experience Required
</li><li>At least two (2) years of related classroom experience or successful completion of a technical training program (eg. Wistar, WPSI) and research laboratory experience Preferred
</li></ul>Skills and Abilities<ul><li>
Intermediate understanding of lab procedures, protocols, and equipment.
</li><li>Basic exposure to lab specific experiments / techniques and scientific analysis
</li><li>Excellent verbal and written communications skills
</li><li>Excellent organizational skills
</li><li>Solid critical thinking / problem-solving skills
</li><li>Solid analytical skills
</li></ul> 
To carry out its mission, CHOP is committed to supporting the health of our patients, families, workforce, and global community. As a condition of employment, CHOP employees who work in patient care buildings or who have patient facing responsibilities must receive an annual influenza vaccine. Learn more. 
EEO / VEVRAA Federal Contractor | Tobacco Statement
SALARY RANGE:
$43,900.00 - $53,440.00 Annually
Salary ranges are shown for full-time jobs. If you're working part-time, your pay will be adjusted accordingly.
-
At CHOP, we are committed to fair and transparent pay practices. Factors such as skills and experience could result in an offer above the salary range noted in this job posting. Click here for more information regarding CHOP's Compensation and Benefits.</div>

Research Tech II-Sundararaman Lab

Piper Companies

<div>
 
 Piper Companies is seeking a Data Scientist to join a highly technical Data and AI organization supporting a large-scale global payments environment.
 
 This role will focus on building advanced data science and machine learning solutions that translate complex data into actionable, revenue-driving insights. The Data Scientist will work closely with business, product, and engineering teams to design, test, and deploy models into production systems. The Data Scientist position requires strong technical depth, comfort operating in fast-paced environments, and a passion for applied research.
 
 This role is onsite or hybrid in Charlotte NC
 
 based on business needs. Must be authorized to work in the US without sponsership.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Frame complex business problems using advanced data science, statistical modeling, and machine learning techniques
 </li>
 <li>
 Design, build, and deploy scalable machine learning pipelines and production-level models
 </li>
 <li>
 Develop and test models across areas such as recommendation systems, time-series forecasting, optimization, and natural language processing
 </li>
 <li>
 Partner with cross-functional stakeholders to identify opportunities to leverage internal and external data for business impact
 </li>
 <li>
 Own critical research initiatives and application development efforts from concept through production
 </li>
 <li>
 Run large-scale experiments and A/B tests to evaluate and improve model performance
 </li>
 <li>
 Contribute to cross-team collaboration and help advance overall data science capabilities
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in a quantitative field such as Computer Science, Mathematics, Statistics, Physics, or a related discipline
 </li>
 <li>
 3 or more years of experience translating mathematical models and algorithms into production-ready code
 </li>
 <li>
 Strong programming experience in Python and Kfka and or C++
 </li>
 <li>
 Solid foundation in probability, statistics, and applied machine learning
 </li>
 <li>
 Hands-on experience with areas such as NLP, time-series analysis, and Generative AI
 </li>
 <li>
 Prior experience working in a highly technical, data-driven research or engineering environment
 </li>
 <li>
 Ability to clearly communicate complex technical concepts to both technical and non-technical audiences
 </li>
 <li>
 Must be authorized to work in the United States
 
 
 </li>
 </ul>
 
 Compensation
 
 
 
 <ul>
 <li>
 $115.000 -$135,000 annually
 </li>
 <li>
 Comprehensive benefits package including medical, dental, vision, and 401(k) options
 </li>
 <li>
 Paid time off and paid holidays
 </li>
 </ul>
</div>

Data Scientist

Lumicity

<div>
 
 
 AI Research Scientist &ndash; NLP/Computational Linguistics
 
 
 
 
 
 
 A well-funded applied AI startup is building advanced systems to distinguish human-created content from machine-generated content. The team combines frontier research with real-world deployment, turning cutting-edge ideas into production systems used at scale.
 
 
 
 
 
 They&rsquo;re hiring an
 
 AI Research Scientist
 
 to improve and scale core detection models. This is a hands-on role where you&rsquo;ll train large neural networks, design experiments, and push model performance forward, while also shipping code into production.
 
 
 
 
 
 What You&rsquo;ll Do
 
 <ul>
 <li>
 Train and fine-tune large-scale deep learning models
 </li>
 <li>
 Design experiments to improve robustness and generalization
 </li>
 <li>
 Create and leverage synthetic data at scale
 </li>
 <li>
 Contribute new ideas that materially improve model accuracy
 </li>
 <li>
 Collaborate with engineering to deploy research into production systems
 </li>
 <li>
 Share insights through technical writing or publications where appropriate
 </li>
 </ul>
 
 
 
 
 This is not a purely academic role, you&rsquo;ll be expected to code, ship, and iterate.
 
 
 
 
 
 What They&rsquo;re Looking For
 
 <ul>
 <li>
 PhD in ML/AI/NLP (or equivalent research experience at a leading AI lab)
 </li>
 <li>
 Publications at top-tier venues (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP)
 
 or
 
 meaningful contributions to deployed AI systems
 </li>
 <li>
 Strong understanding of generative models and modern LLMs
 </li>
 <li>
 Experience training models in PyTorch at scale
 </li>
 <li>
 Evidence your research has led to real-world impact
 </li>
 </ul>
 
 
 
 
 Bonus Points
 
 <ul>
 <li>
 Work in robustness, interpretability, synthetic data, or model evaluation
 </li>
 <li>
 Background in NLP, computational linguistics, vision, audio, or other adjacent ML domains
 </li>
 <li>
 Experience with distributed training or ML infrastructure
 </li>
 </ul>
 
 
 
 
 Ideal Profile
 
 <ul>
 <li>
 Early-career researcher (including strong new PhDs) who wants applied impact
 </li>
 <li>
 Industry researcher who wants more ownership and product exposure
 </li>
 <li>
 Someone motivated by AI integrity, trust, and responsible deployment
 </li>
 </ul>
 
 
 
 
 Small team. High ownership. Deep technical problems. Real-world impact.
 
</div>

Research Scientist

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