technical research scientist

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
At Amazon's FinTech organization, we are building AI systems that process hundreds of millions of financial transactions, turn complex documents into actionable intelligence, and power autonomous agents that learn from every customer interaction. We are looking for an Applied Scientist to lead the development of generative AI applications that change how finance teams work, tackling problems at the intersection of large language models, multi-agent systems, and real-world financial operations. 
 
Key job responsibilities 
<ul><li>Building AI systems that finance teams trust enough to rely on without manual review, where precision isn't a nice-to-have, it's a compliance requirement.</li><li>Designing agents that learn from user corrections and get measurably better with every interaction, not just at the next model release.</li><li>Solving inference at massive scale using tiered model architectures, intelligent routing, and small language models that deliver production-grade accuracy at a fraction of frontier model cost.</li><li>Developing evaluation frameworks that catch quality regressions before customers do and gate every model change before it ships.</li></ul> 
Who Thrives Here
 
<ul><li>You're someone who cares as much about shipping as about research.</li><li>You've built models that run in production, not just in notebooks.</li><li>You're comfortable working across the full stack, from model architecture to deployment to measuring whether the customer's workflow actually changed.</li><li>You operate well in cross-functional settings where science, engineering, and business teams inform each other continuously.</li><li>You'd rather solve a hard real-world problem than optimize a benchmark.</li></ul> 
What Makes This Different
 
<ul><li>Your work ships to production and directly changes how thousands of finance professionals operate daily.</li><li>The problems are genuinely hard: financial data is messy, regulated, high-stakes, and operates at a scale where naive LLM approaches break down.</li><li>You'll work across multiple domains, from contract intelligence to cash application to financial data investigation, not a single narrow use case.</li></ul></div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience</li><li>Experience building machine learning models or developing algorithms for business application</li><li>Experience programming in Java, C++, Python or related language</li><li>3+ years of building models for business application experience</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>PhD in computer science, machine learning, engineering, or related fields</li><li>Experience in building speech recognition, machine translation and natural language processing systems (e.g., commercial speech products or government speech projects)</li><li>Experience in patents or publications at top-tier peer-reviewed conferences or journals</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, WA, Bellevue - 142,800.00 - 193,200.00 USD annually</div>

Applied Scientist, FinTelligence

General Motors (GM)

<div>Job Description
As Global Technical Specialist for Cranktrain (Pistons, rings, connecting rod, crankshaft, bearings, damper, flexplate, etc), you will develop robust strategies to enable industry leading design and manufacturing of Cranktrain systems. You will maintain technical requirements for Cranktrain components and lead cross-functional teams and suppliers. These components must push the boundaries for performance, reliability, and quality while balancing cost, manufacturability, and global commercial strategy. The position requires strong technical and interpersonal skills and experience in propulsion systems design and interface applications.
What You&rsquo;ll Do (Responsibilities):
<ul><li>Lead and coordinate benchmarking efforts at a subsystem level to support definition of best practices, including a high level of engagement in Competitive Benchmarking Design Reviews (CBDR).
</li><li>Build, develop, publish, and maintain documentation including Best Practices, SOR templates, DFMEA templates, and contribute to the Validation Cross Reference Index.
</li><li>Participate in supplier technical reviews. Assess potential suppliers and supplier facilities on technical capabilities and maintain a Technically Approved Supplier List (TASL).
</li><li>Participate in Enhanced Creativity Teams (ECT) and provide guidance to help drive supplier selection for new programs, including technical assessment of supplier designs and supplier capabilities.
</li><li>Provide technical support to program teams, including Assistant Chief Engineers, and to Development Engineers, Validation Engineers, and Applications Engineers.
</li><li>Maintain a high-level understanding of the Virtual Design, Development and Validation (VDDV) models and analysis methods.
</li><li>Participate in the warranty reduction and quality improvement process, ensuring lessons learned are collected and documented. Support Brand Quality Managers with technical expertise and problem resolution assistance.
</li><li>Support and drive interface application decisions to optimize propulsion system and vehicle performance, drive quality and manufacturing assembly processes.
</li><li>Define design-tool needs and coordinate the development of new tools, new capabilities, and the maintenance of existing tools and databases.
</li><li>Responsible for execution and closure in PRTS of Safety Tether, Quality Tether and PRD.
</li><li>Strong support of the Safety Field Investigation (SFI) process.
</li><li>Lead/Coach DFSS projects.
</li></ul>Your Skills &amp; Abilities (Required Qualifications):
<ul><li>Bachelor of Science in Engineering or equivalent.
</li><li>10+ years of engineering experience
</li><li>Strong background and knowledge of the design of propulsion systems.
</li><li>Experience working with suppliers on Cranktrain Components
</li><li>Proven ability to reach across organizational boundaries to garner support and deliver results.
</li><li>Expertise in the design of integrated, cross functional systems
</li><li>Excellent interpersonal skills to work with others.
</li><li>Demonstrated leadership skills especially the use of influence.
</li></ul>What Will Give You a Competitive Edge (Preferred Qualifications)
<ul><li>Master of Science in Engineering
</li><li>15+ years of engineering experience
</li><li>Experience with calibration impacts on Cranktrain systems
</li><li>DFSS Certification level of Black Belt or Master Black Belt
</li></ul>&amp;#xa;&amp;#xa;GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc).&amp;#xa;&amp;#xa;This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}.&amp;#xa;&amp;#xa;This job may be eligible for relocation benefits.&amp;#xa;&amp;#xa;
About GM
Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
Why Join Us
We believe we all must make a choice every day &ndash; individually and collectively &ndash; to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.
Benefits Overview
From day one, we're looking out for your well-being&ndash;at work and at home&ndash;so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources .
Non-Discrimination and Equal Employment Opportunities (U.S.)
General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.
All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.
We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire .
Accommodations
General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.</div>

Technical Specialist - Cranktrain systems

UC San Diego

<div><h3 class="jobSectionHeader">Position overview</h3>
Position title: Specialist, Project Scientist or Research Scientist
<div>Salary range: A reasonable salary range estimate for this position is $79,400 - $240,000. The posted UC academic salary scales set the minimum pay determined by rank and/or step at appointment. 
See the following tables for the salary scales for the position: 
Specialist 
Project Scientist 
Research Scientist
</div><div><h3 class="jobSectionHeader">Application Window</h3>
</div><div>Open date: June 12, 2026
</div><div>Next review date: Sunday, Jul 12, 2026 at 11:59pm (Pacific Time) 
Apply by this date to ensure full consideration by the committee.
</div><div>Final date: Saturday, Jun 12, 2027 at 11:59pm (Pacific Time) 
Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.
</div><h3 class="jobSectionHeader">Position description</h3>
<div><div>The Department of Psychiatry within the School of Medicine at UC San Diego is committed to academic excellence within the faculty, staff, and student body.
We are conducting an open search for Specialists, Project Scientists, and Research Scientists at the Assistant, Associate, or Full level in various disciplines of neuropsychiatric disorders.
At UC San Diego, Specialists and Project Scientists make significant and creative contributions to research projects, while Research Scientists are academic researchers who develop and lead independent research and creative programs, equivalent to that required for the Ladder Rank Professor series.
The responsibilities of the selected candidates will include performing studies and experiments, analyzing and preparing reports and presentations, summarizing data, teaching and mentoring postdocs and students, and making scholarly contributions.
<div>A link to full descriptions of each series is provided for your review: 
<ul><li>Specialist</li><li>Project Scientist</li><li>Research Scientist</li></ul></div>
Appointment level/rank will be based on background and experience.
</div></div>
<h3 class="jobSectionHeader">Qualifications</h3>
<div>Basic qualifications (required at time of application)
<div>Candidates must have an MD or equivalent, or a PhD or equivalent in a scientific field.
</div>
</div><h3 class="jobSectionHeader">Application Requirements</h3>
<div><div>Document requirements
<ul><li><div>Curriculum Vitae - Your most recently updated C.V.
</div></li><li><div>Cover Letter
</div></li><li><div>
Misc / Additional (Optional)
</div></li></ul>
</div><div><div>Reference requirements</div><ul><li>
3 required (contact information only)</li></ul></div>
Apply link: https://apol-recruit.ucsd.edu/JPF04552
</div>
<div>Help contact: jhorning@health.ucsd.edu
</div>
<h3 class="jobSectionHeader">About UC San Diego</h3>
<div>
<div>The University of California is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected status under state or federal law.
As a university employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.
The University of California prohibits smoking and tobacco use at all of its university-controlled properties.
The UC San Diego Annual Security &amp; Fire Safety Report is available online at: https://www.police.ucsd.edu/docs/annualclery.pdf. This report provides crime and fire statistics, as well as institutional policy statements &amp; procedures. Contact the UC San Diego Police Department at (858) 534-4361 if you want to obtain paper copies of this report.
As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct, are currently being investigated for misconduct, left a position during an investigation for alleged misconduct, or have filed an appeal with a previous employer.
 
Click for more information on Assembly Bill-810
 
Click for more information on Senate Bill-791
<ul><li>&ldquo;Misconduct&rdquo; means any violation of the policies or laws governing conduct at the applicant&rsquo;s previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment, discrimination, dishonesty, or unethical conduct, as defined by the employer.</li><li>UC Sexual Violence and Sexual Harassment Policy: [https://policy.ucop.edu/doc/4000385/SVSH]</li><li>UC Anti-Discrimination Policy for Employees, Students and Third Parties: [https://policy.ucop.edu/doc/1001004/Anti-Discrimination]</li></ul>
</div>
</div><h3 class="jobSectionHeader">Job location</h3>
<div>San Diego, CA</div></div>

Assistant, Associate or Full Specialist, Project Scientist or Research Scientist - Psychiatry

Elder Research Inc

<div>Senior Data Scientist
General Information
Requisition # 717
Locations USA-VA-Arlington
Posting Date 06/12/2026
Security Clearance Required - IRS MBI
Remote Type Hybrid
Time Type Full time
Description &amp; Requirements
Elder Research Inc., a wholly owned subsidiary of MANTECH international Corporation seeks a motivated, career and customer-oriented Data Scientist to join our team in Arlington, VA. This role is a remote role preferably in the Washington DC area.
As a Data Scientist, you will support the Internal Revenue Service&rsquo;s mission to improve tax compliance, fraud detection, and risk identification across large, complex tax and financial data environments. You will work directly with government clients, program managers, and technical teams to understand business and compliance challenges, design analytical approaches, and deliver data-driven solutions that inform enforcement, audit prioritization, and fraud prevention efforts.
In this role, you will develop, test, and deploy predictive and statistical models using structured and unstructured data to identify anomalies, non-compliance risk, and potential fraud within tax records and related datasets. You will contribute across the full data science lifecycle, from problem formulation and data exploration through model validation, deployment, and stakeholder communication.
Responsibilities include but are not limited to:
<ul><li>Prior programming experience, preferably in Python or R, including data exploration, feature engineering, model development, and writing modular, reusable, well-documented code within an iterative development process that includes peer review and collaboration</li>
<li>Demonstrated experience using Python, SQL, and Databricks for data analysis, modeling, statistical evaluation, and working with Markdown for technical documentation</li>
<li>Explore, clean, and wrangle large, complex datasets to uncover insights and identify opportunities for data science&ndash;driven solutions in support of assessments, gap analyses, and actionable recommendations for IRS stakeholders</li>
<li>Design, develop, test, validate, and implement quantitative and qualitative data science solutions and predictive risk models (including audit selection, refund review, and fraud prevention initiatives) that are modular, maintainable, adaptable to evolving government and regulatory requirements, and supported by robustness, sensitivity, and significance testing to ensure defensible and explainable results</li>
<li>Apply statistical and machine learning techniques (supervised and unsupervised) to anomaly detection, fraud identification, and non-compliance risk scoring to help prioritize cases based on compliance risk, fraud indicators, and business impact</li>
<li>Collaborate with clients, subject matter experts, and cross-functional teams to refine problem statements, requirements, and analytical approaches, while demonstrating the ability to work independently in a collaborative, fast-paced environment</li>
<li>Prepare and deliver technical and non-technical briefings, reports, and presentations to audiences with varying levels of analytical sophistication, translating business and compliance needs into technical solutions with strong interpersonal, written, and verbal communication skills</li>
</ul>
Minimum Qualifications:
<ul><li>Bachelor of Science degree in a relevant field such as statistics, computer science, economics, mathematics, analytics, data science, business, or social sciences</li>
<li>5-10+ years of experience in data science, analytics, or a related technical field</li>
<li>Experience using version control systems (e.g., Git) and collaborative development practices</li>
<li>Strong understanding of relational databases and SQL</li>
<li>Comfortable learning new tools, methodologies, and domains, including working outside your comfort zone</li>
<li>Strong analytical mindset with a willingness to tackle complex mathematical and statistical challenges</li>
<li>Willingness to travel and work on-site at client locations as required by project needs</li>
</ul>
Preferred Qualifications:
<ul><li>Advanced degree (MS or PhD) in statistics, computer science, data science, mathematics, analytics, engineering, or related fields; experience applying advanced statistical concepts including sampling considerations, bias detection, weighting techniques, handling missing or outlier data, exploratory analysis, and longitudinal forecasting; and understanding of the data analytics lifecycle (e.g., CRISP-DM)</li>
<li>Experience with PySpark, Unity Catalog, and Jobs in Databricks, with familiarity using platforms and tools such as Databricks and AWS</li>
<li>Experience with Natural Language Processing (NLP) and text analytics applied to unstructured documents or case notes, as well as graph analytics and network analysis to identify relationships, fraud rings, or interconnected entities</li>
<li>Experience with containerization and environment management (e.g., venv, conda)</li>
<li>Experience operating in secure or remote government environments, including use of bash and command-line tools</li>
</ul>
Clearance Requirements:
<ul><li>Must currently possess an IRS Public Trust clearance with Full Background Investigation</li>
</ul>
Physical Requirements:
<ul><li>Must be able to remain in a stationary position 50%</li>
<li>Needs to occasionally move about inside the office to access file cabinets, office machinery, etc.</li>
<li>Frequently communicates with co-workers, management, and customers, which may involve delivering presentations. Must be able to exchange accurate information in these situation</li>
</ul>
About Elder Research, Inc - People Centered. Data Driven
Elder Research considers all qualified applicants for employment without regard to disability or veteran status or any other status protected under any federal, state, or local law or regulation.
If you need a reasonable accommodation to apply for a position with Elder Research, please email us at careers@elderresearch.com and provide your name and contact information.</div>

Senior Data Scientist

<div><div><div>Now
</div></div><div><div><div>Job ID</div>
<div>R-548010</div>
</div><div><div>Category</div>
<div>Sales Support</div>
</div><div><div>Location</div>
<div>Boston, Massachusetts</div></div></div></div>
 <div>As a result of the combination of the BD Biosciences and Diagnostic Solutions business with Waters Corporation (NYSE: WAT), by applying to this role, you will be applying for a position with Waters. Waters is a global leader in life sciences, dedicated to accelerating the benefits of pioneering science through analytical technologies, informatics, and service. With a focus on regulated, high-volume testing environments, Waters&rsquo; innovative portfolio harnesses deep scientific expertise across biology, chemistry, and physics. Waters collaborates with analytical laboratories around the world to advance the release of effective, high-quality medicines, assure the safety of food and water, and drive better patient outcomes by detecting diseases earlier, managing routine infections, and combatting growing antibiotic resistance. Through a shared culture of relentless innovation, Waters&rsquo; passionate team of approximately 16,000 colleagues partner with customers to turn scientific challenges into breakthroughs that improve lives worldwide.
<h2 class="jobSectionHeader">We are the people who give possibilities purpose</h2>
BD is one of the largest global medical technology companies in the world. Advancing the world of health&trade; is our Purpose, and it&rsquo;s no small feat. It takes the imagination and passion of all of us&mdash;from design and engineering to the manufacturing and marketing of our billions of MedTech products per year&mdash;to look at the impossible and find transformative solutions that turn dreams into possibilities.
<h1 class="jobSectionHeader">Job Description</h1>
Role Summary
Enable science. Drive adoption. Support success.
At Waters, Technical Applications Scientists are critical to ensuring customers realize the full value of their investment through expert scientific support, training, and workflow optimization. Operating at the intersection of science and customer success, you guide users from onboarding through long-term success, turning complex technologies into impactful, real-world outcomes and discoveries.
This role goes beyond troubleshooting. It requires the ability to understand customer workflows, deliver effective training, and proactively drive utilization and satisfaction. You will partner closely with commercial, service, and marketing teams to support customer success, improve adoption, and identify opportunities for expansion.
This is a high-impact role where scientific expertise, customer engagement, and execution directly influence product utilization, customer retention, and long-term value.
Role Purpose
As part of the Waters Biosciences division, ensure successful customer onboarding, new product adoption, and long-term success by providing technical product training, workflow and assay optimization, and post-sale technical support that enables customers to achieve their desired outcomes from our technologies and products.
Key Responsibilities
 Customer Engagement &amp; Training<ul><li>
Lead customer onboarding activities to ensure a smooth transition from purchase to implementation</li><li>
Deliver high-quality scientific training tailored to customer needs and skill levels</li><li>
Educate customers on best practices to maximize instrument and application performance</li><li>
Support initial setup and validation of customer workflows</li></ul>
Post-Sale Technical Support &amp; Troubleshooting<ul><li>
Provide advanced troubleshooting and technical guidance across applications and workflows</li><li>
Partner with customers to resolve technical challenges efficiently and effectively</li><li>
Serve as a trusted scientific resource for ongoing support needs</li><li>
Escalate complex issues and coordinate with internal teams as needed</li></ul>
Workflow Optimization &amp; Adoption<ul><li>
 Drive product utilization through proactive engagement and education</li><li>
Advise on customer workflows to improve efficiency and outcomes</li><li>
Identify gaps and recommend best-practice solutions</li><li>
Support customers in achieving measurable success with instruments and reagents</li></ul>
Customer Success &amp; Retention<ul><li>
Improve customer satisfaction and retention through consistent engagement</li><li>
Reinforce the value delivered and ensure customers achieve their intended outcomes</li><li>
Build strong, long-term relationships with scientific stakeholders</li><li>
Support customer success initiatives aligned to business objectives</li></ul>
Expansion &amp; Opportunity Identification<ul><li>
Identify opportunities to expand usage within existing workflows and applications</li><li>
Uncover potential needs for additional products, reagents, or capabilities</li><li>
Partner with Account Managers and Technical Sales Specialists to support business expansion opportunities</li><li>
Contribute insights that support territory growth strategies</li></ul>
Cross-Functional Collaboration<ul><li>
Partner closely with Account Managers, TSS, Service, and Marketing teams</li><li>
Support coordinated customer engagement strategies across roles</li><li>
Provide field feedback to influence product development and training programs</li><li>
Contribute to a collaborative, team-based customer success model</li></ul>
What Success Looks Like<ul><li>
Enables customers to achieve desired scientific outcomes</li><li>
Accelerates customer onboarding and reduces time to productivity</li><li>
Reduces technical and implementation challenges</li><li>
Increases product utilization and workflow adoption</li><li>
Improves customer satisfaction, retention, and long-term loyalty</li><li>
Identifies and supports expansion opportunities within accounts</li></ul>
Qualifications &amp; Experience
Required<ul><li>
Bachelor&rsquo;s degree in life sciences or related scientific field</li><li>
Demonstrable experience with flow cytometry applications and cell sorting</li><li>
Ability to troubleshoot complex workflows and technical issues</li><li>
Proven ability to translate scientific concepts into practical application</li><li>
Strong training, presentation, and communication skills</li><li>
Willingness to travel within the assigned territory</li></ul>
Preferred<ul><li>
 Advanced degree in life sciences or related scientific field</li><li>
Experience with spectral flow cytometry and related applications</li><li>
Experience operating and troubleshooting cell sorters
</li><li>Experience supporting post-sale customer training</li><li>
Familiarity with laboratory workflow optimization and method development</li><li>
Experience working cross-functionally in commercial or support environments</li></ul>
Work Environment &amp; Travel<ul><li>
Field-based role requiring frequent remote and in-person customer interactions</li><li>
Travel aligned to customer needs</li></ul>
Why Waters
Waters plays a critical role in advancing scientific discovery and improving human health. Our teams partner with leading organizations across Pharma, Biotech, Academic, and Government sectors to solve complex challenges.
As part of Waters, you will:<ul><li>
Enable customers to achieve meaningful scientific outcomes</li><li>
Work with innovative technologies and applications</li><li>
Collaborate across scientific and commercial teams</li><li>
Directly impact customer success and long-term value creation</li></ul>
Who Thrives in This Role<ul><li>
Scientists passionate about teaching, training, and enabling others</li><li>
Customer-focused professionals who value long-term, scientific relationships</li><li>
Problem solvers who enjoy troubleshooting and optimizing workflows or assays</li><li>
Collaborative partners who work effectively across teams</li><li>
Individuals highly self-motivated to deliver best-in-class technical support to a commercial organization</li></ul>
Who This Role Is Not For<ul><li>
Individuals seeking purely transactional or non-customer-facing roles</li><li>
Those uncomfortable with travel and field-based customer engagement</li><li>
Candidates who prefer reactive vs. proactive customer support</li></ul>
Equal Opportunity
Waters is an Equal Opportunity Employer committed to building an inclusive workplace that empowers all employees to thrive.
Compensation
The expected compensation range for this role is $ 95,600.00 - $153,000.00 USD Annual. Final compensation will be determined based on experience, skills, and geographic location.
At BD, we prioritize on-site collaboration because we believe it fosters creativity, innovation, and effective problem-solving, which are essential in the fast-paced healthcare industry. For most roles, we require a minimum of 4 days of in-office presence per week to maintain our culture of excellence and ensure smooth operations, while also recognizing the importance of flexibility and work-life balance. Remote or field-based positions will have different workplace arrangements which will be indicated in the job posting.
For certain roles at BD, employment is contingent upon the Company&rsquo;s receipt of sufficient proof that you are fully vaccinated against COVID-19. In some locations, testing for COVID-19 may be available and/or required. Consistent with BD&rsquo;s Workplace Accommodations Policy, requests for accommodation will be considered pursuant to applicable law.<h1 class="jobSectionHeader">
Why Join Us?</h1>
To find purpose in the possibilities, we need people who can see the bigger picture, who understand the human story that underpins everything we do. We welcome people with the imagination and drive to help us reinvent the future of healthcare. At BD, you&rsquo;ll discover a culture in which you can learn, grow and thrive.
We believe that when people connect in person, we learn faster, collaborate more deeply, and build a stronger culture. Join us and enjoy a culture where face-to-face collaboration supports your learning, your progress, and your success.
To learn more about BD visit https://bd.com/careers.
Becton, Dickinson, and Company is an Equal Opportunity Employer. We evaluate applicants without regard to race, color, religion, age, sex, creed, national origin, ancestry, citizenship status, marital or domestic or civil union status, familial status, affectional or sexual orientation, gender identity or expression, genetics, disability, military eligibility or veteran status, and other legally protected characteristics.
Required Skills
Optional Skills
.<h1 class="jobSectionHeader">
Primary Work Location</h1>
USA CA - Milpitas 135<h1 class="jobSectionHeader">
Additional Locations</h1><h1 class="jobSectionHeader">
Work Shift</h1>
At BD, we reward, support and develop our associates through our comprehensive Total Rewards program. We are committed to attracting and retaining high quality talent by providing reward and recognition opportunities that promote a performance-based culture, as well as a competitive package of compensation and benefits programs. You can learn more on our career site under &quot;Our Commitment to You.&quot;
Our salary or hourly rate ranges reward associates fairly and competitively. We regularly review these ranges and factors, such as location, contribute to the range displayed.
Our pay is based on the role and the necessary skills and education to perform it successfully. The salary or hourly rate offered is determined by the role's specific requirements, including any applicable step rate pay system at the work location. Salary or hourly pay ranges are influenced by labor laws and Collective Bargaining Agreement (CBA) requirements applicable to the work location which may also affect the workplace arrangement of the role.
Salary Range Information
$95,600.00 - $153,000.00 USD Annual</div>

Technical Applications Scientist (TAS) - Research

Los Alamos National Laboratory

<div>
 
 What You Will Do
 
 
 
 The Sigma Division at Los Alamos National Laboratory is seeking a Research and Development Scientist to join our Welding and Joining team-a dynamic group at the forefront of advanced manufacturing and materials science.
 
 
 In this role, you will contribute to cutting-edge research and development in high energy density welding, arc welding, brazing, and solid-state joining technologies that support critical national security and scientific missions. You'll work on complex, real-world challenges ranging from weld distortion and residual stress to process optimization, leveraging both experimental and computational modeling approaches.
 
 
 We are looking for a scientist with a strong foundation in solidification metallurgy and a passion for applying scientific and engineering principles to develop innovative, practical solutions. This position offers the opportunity to lead impactful R&amp;D efforts, support production across the NNSA complex, and drive improvements in welding and joining processes.
 
 
 You will collaborate with a wide range of partners, including internal programs in weapons, alternative energy, and global security, as well as external collaborators across universities, industry, and other national laboratories. This is a highly visible role with opportunities to influence both research direction and mission outcomes.
 
 
 Sigma Division specializes in manufacturing science and metallurgical processes, supporting experimental programs at Los Alamos. The Welding &amp; Joining team works closely with other technical groups to solve complex manufacturing challenges and deliver high-quality prototype and limited production components. Our work spans a broad range of materials-from hydrogen to uranium-and includes both unclassified and classified efforts.
 
 
 The successful candidate will be expected to develop and lead multiple research projects, communicate results to diverse stakeholders, and play a key role in securing funding through proposals and work packages. This is an excellent opportunity for a motivated scientist to grow into a technical leader while contributing to nationally significant work.
 
 
 
 
 
 What You Need
 
 
 
 
 
 Minimum Job Requirements:
 
 
 
 
 <ul>
 <li>
 Demonstrated expertise in solidification metallurgy, with the ability to serve as a technical lead in this area.
 </li>
 <li>
 Proven experience leading research and development activities in one or more of the following: high energy density welding, vacuum furnace or induction brazing, and semi-automatic or manual arc welding.
 </li>
 <li>
 Demonstrated ability to lead or significantly contribute to proposal development efforts, particularly for innovative welding solutions addressing complex technical challenges.
 </li>
 <li>
 Experience working in integrated, cross-disciplinary teams to design, develop, and fabricate experimental assemblies aligned with customer or programmatic needs.
 </li>
 <li>
 Strong record of technical writing, including authorship or significant contribution to peer-reviewed publications.
 </li>
 <li>
 Experience mentoring junior staff, postdoctoral researchers, or students in research and/or manufacturing environments.
 </li>
 <li>
 Demonstrated commitment to safety and security, including maintaining required training and integrating safety and security practices into all work activities.
 
 
 </li>
 </ul>
 
 Education/Experience:
 
 
 
 Positions requires a Bachelor' degree in a STEM field from an accredited college and university and 4 years of related experience, typically with post-doctoral research experience at a university or national lab or equivalent experience directly related to the occupation.
 
 
 
 Desired Qualifications:
 
 
 
 <ul>
 <li>
 Active Q Level clearance
 </li>
 <li>
 Experience in any of the following areas: arc welding (gas tungsten or gas metal arc welding), brazing, solid state welding, other welding/joining methods, is desired, but not required.
 </li>
 <li>
 Experience with weld evaluation including destructive testing and mechanical testing.
 </li>
 <li>
 Familiarity with non-destructive testing, visual inspection, and metallurgical characterization techniques.
 
 
 </li>
 </ul>
 
 Work Location:
 
 The work location for this position is onsite and located in Los Alamos, NM. All work locations are at the discretion of management.
 
 
 
 Position commitment:
 
 Regular appointment employees are required to serve a period of continuous service in their current position in order to be eligible to apply for posted jobs throughout the Laboratory. If an employee has not served the time required, they may only apply for Laboratory jobs with the documented approval of their Division Leader. The position commitment for this position is 1 year.
 
 
 
 Note to Applicants:
 
 
 
 Please provide a detailed cover letter outlining specific examples of how you meet all the minimum job requirements and any desired qualifications.
 
 
 Due to federal restrictions contained in the current National Defense Authorization Act, citizens of the People's Republic of China-including the special administrative regions of Hong Kong and Macau-as well as citizens of the Islamic Republic of Iran, the Democratic People's Republic of Korea (North Korea), and the Russian Federation, who are not Lawful Permanent Residents ("green card" holders) are prohibited from accessing facilities that support the mission, functions, and operations of national security laboratories and nuclear weapons production facilities, which includes Los Alamos National Laboratory.
 
 
 
 Where You Will Work
 
 
 
 Located in beautiful northern New Mexico, Los Alamos National Laboratory (LANL) is a multidisciplinary research institution engaged in strategic science on behalf of national security. Our generous benefits package includes:
 
 
 <ul>
 <li>
 PPO or High Deductible medical insurance with the same large nationwide network
 </li>
 <li>
 Dental and vision insurance
 </li>
 <li>
 Free basic life and disability insurance
 </li>
 <li>
 Paid childbirth and parental leave
 </li>
 <li>
 Award-winning 401(k) (6% matching plus 3.5% annually)
 </li>
 <li>
 Learning opportunities and tuition assistance
 </li>
 <li>
 Flexible schedules and time off (PTO and holidays)
 </li>
 <li>
 Onsite gyms and wellness programs
 </li>
 <li>
 Extensive relocation packages (outside a 50 mile radius)
 
 
 </li>
 </ul>
 
 Additional Details
 
 
 
 
 Directive 206.2
 
 - Employment with Triad requires a favorable decision by NNSA indicating employee is suitable under NNSA Supplemental Directive 206.2. Please note that this requirement applies only to citizens of the United States. Foreign nationals are subject to a similar requirement under DOE Order 142.3A.
 
 
 
 Clearance: Q
 
 (Position will be cleared to this level). Selected applicants will be subject to a background investigation conducted by or on behalf of the Federal Government, and must meet eligibility requirements* for access to classified matter. This position requires a Q clearance. and obtaining such clearance requires US Citizenship except in extremely rare circumstances. Dependent upon the position, additional authorization to access classified information may be required, which may or may not be available to dual citizens. Receipt of a Q clearance and additional access authorization ultimately is a decision of the Federal Government and not of Triad.
 
 
 <ul>
 <li>
 Eligibility requirements: To obtain a clearance, an individual must be at least 18 years of age; U.S. citizenship is required except in very limited circumstances. See DOE Order 472.2 for additional information.
 
 
 </li>
 </ul>
 
 New-Employment Drug Test:
 
 The Laboratory requires successful applicants to complete a new-employment drug test and maintains a substance abuse policy that includes random drug testing. Although New Mexico and other states have legalized the use of marijuana, use and possession of marijuana remain illegal under federal law. A positive drug test for marijuana will result in termination of employment, even if the use was pre-offer.
 
 
 
 Equal Opportunity:
 
 Los Alamos National Laboratory is an equal opportunity employer. All employment practices are based on qualification and merit, without regard to protected categories such as race, color, national origin, ancestry, religion, age, sex, gender identity, sexual orientation, marital status or spousal affiliation, physical or mental disability, medical conditions, pregnancy, status as a protected veteran, genetic information, or citizenship within the limits imposed by federal, state, and local laws and regulations. The Laboratory is also committed to making our workplace accessible to individuals with disabilities and will provide reasonable accommodations, upon request, for individuals to participate in the application and hiring process. To request such an accommodation, please send an email to applyhelp@lanl.gov or call (505)-664-6947.
</div>

Welding/Brazing (R&D Scientist 2)

NXP Semiconductors

<div>Senior Quantization Engineer - Edge AI Model Optimization 
 
We at NXP have an environment that fosters innovation. Our team has technology experts who understand the big picture and mentors who coach passionate professionals to work on the most exciting challenges. We share responsibilities in everything we do, where every point of view is valued. Join us!
Job Summary
We are seeking a highly skilled Edge AI Engineer/Scientist with a strong theoretical foundation in AI and solid software engineering expertise to contribute to our Edge AI Model Optimization program. While the primary focus of this role is on model quantization, the scope also includes complementary optimization strategies such as speculative decoding, pruning, and other methods for ensuring highly efficient on-device deployment.
You will work at the forefront of innovation, bridging the gap between research and practice, focusing on CNNs, Large Language Model (LLM) and Vision Language Model (VLM) optimization to bring advanced capabilities to NXP&rsquo;s Ara2 family of NPUs, directly supporting the future of on‑device intelligence.
If you want to the future of efficient on‑device AI, this is the place to be.
Job Responsibilities
Research: Actively survey the latest research (NeurIPS, ICLR, CVPR) on model optimization/compression, focusing particularly on neural network quantization, but also including other techniques like speculative decoding, pruning, etc.
 
Prototyping: Develop and adapt state-of-the-art methods to NXP&rsquo;s hardware constraints, building POCs to showcase the effectiveness of these techniques on NXP HW.
 
Production Implementation: Translate research prototypes into robust, optimized production code (C++/Python), ensuring strict memory and compute efficiency standards.
 
Systems Integration: Document algorithmic tradeoffs, derive deployment recipes, and mentor the engineering team on numerical methods and optimization.
 
Cross-Functional Leadership: Act as the technical bridge between AI Research, Hardware Engineering and other teams, providing quantified guidance on how choices impact model accuracy and performance.
 
IP Generation: Contribute to NXP&rsquo;s intellectual property portfolio through patents and technical publications.
Job Qualifications
Required Background
Education: MSc or Ph.D (is a plus) in Computer Science, Electrical Engineering, or Mathematics with a focus on Machine Learning or Deep Learning.
 
AI Expertise: Proven practical experience in AI/ML with a deep understanding of CNN architectures and Generative AI (Transformers, LLMs, VLMs, etc.).
 
Technical Stack: Strong hands-on experience with PyTorch, ONNX, and model conversion/optimization pipelines.
 
Software Engineering: Proficient in Python and C++ and best development practices.
 
Embedded Mindset: Familiarity with the constraints of embedded systems (latency, power, memory bandwidth) and how code interacts with underlying hardware.
Preferred
Advanced AI: Experience with state-of-the-art quantization techniques for discriminative and generative AI (e.g., GPTQ, SpinQuant, etc).
 
Hardware Acceleration: Experience with NPUs, device-level profiling, and diagnosing memory bottlenecks.
 
Kernel Development: Experience with custom kernel development is a plus.
 
Compilers: Knowledge of MLIR or TVM is a significant plus. 
 
We at NXP have an environment that fosters innovation. Our team has technology experts who understand the big picture and mentors who coach passionate professionals to work on the most exciting challenges. We share responsibilities in everything we do, where every point of view is valued. Join us!
Job Summary
We are seeking a highly skilled Edge AI Engineer/Scientist with a strong theoretical foundation in AI and solid software engineering expertise to contribute to our Edge AI Model Optimization program. While the primary focus of this role is on model quantization, the scope also includes complementary optimization strategies such as speculative decoding, pruning, and other methods for ensuring highly efficient on-device deployment.
You will work at the forefront of innovation, bridging the gap between research and practice, focusing on CNNs, Large Language Model (LLM) and Vision Language Model (VLM) optimization to bring advanced capabilities to NXP&rsquo;s Ara2 family of NPUs, directly supporting the future of on‑device intelligence.
If you want to the future of efficient on‑device AI, this is the place to be.
Job Responsibilities
Research: Actively survey the latest research (NeurIPS, ICLR, CVPR) on model optimization/compression, focusing particularly on neural network quantization, but also including other techniques like speculative decoding, pruning, etc.
 
Prototyping: Develop and adapt state-of-the-art methods to NXP&rsquo;s hardware constraints, building POCs to showcase the effectiveness of these techniques on NXP HW.
 
Production Implementation: Translate research prototypes into robust, optimized production code (C++/Python), ensuring strict memory and compute efficiency standards.
 
Systems Integration: Document algorithmic tradeoffs, derive deployment recipes, and mentor the engineering team on numerical methods and optimization.
 
Cross-Functional Leadership: Act as the technical bridge between AI Research, Hardware Engineering and other teams, providing quantified guidance on how choices impact model accuracy and performance.
 
IP Generation: Contribute to NXP&rsquo;s intellectual property portfolio through patents and technical publications.
Job Qualifications
Required Background
Education: MSc or Ph.D (is a plus) in Computer Science, Electrical Engineering, or Mathematics with a focus on Machine Learning or Deep Learning.
 
AI Expertise: Proven practical experience in AI/ML with a deep understanding of CNN architectures and Generative AI (Transformers, LLMs, VLMs, etc.).
 
Technical Stack: Strong hands-on experience with PyTorch, ONNX, and model conversion/optimization pipelines.
 
Software Engineering: Proficient in Python and C++ and best development practices.
 
Embedded Mindset: Familiarity with the constraints of embedded systems (latency, power, memory bandwidth) and how code interacts with underlying hardware.
Preferred
Advanced AI: Experience with state-of-the-art quantization techniques for discriminative and generative AI (e.g., GPTQ, SpinQuant, etc).
 
Hardware Acceleration: Experience with NPUs, device-level profiling, and diagnosing memory bottlenecks.
 
Kernel Development: Experience with custom kernel development is a plus.
 
Compilers: Knowledge of MLIR or TVM is a significant plus. 
 
More information about NXP in India...
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Senior Quantization Engineer - Edge AI

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