engineering scientist

Qualcomm

<div><h2 class="jobSectionHeader"><b>Company:
</b></h2>Qualcomm Incorporated
<p></p><h2 class="jobSectionHeader"><b>Job Area:
</b></h2>Information Technology Group, Information Technology Group &gt; Data Science
<p></p><p><b>General Summary:
</b></p><div><p>This individual possesses the solid engineering fundamentals and understanding with some supervision in the design, development and program of methods, processes, and systems to consolidate and analyze unstructured, diverse &ldquo;big data&rdquo; sources to generate actionable insights and solutions for client services and product enhancement. Interacts with product and service teams to identify questions and issues for data analysis and experiments. Develops and codes software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources. Identifies meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to product, service, and business managers. Gathers data from various internal and external sources, clean and amalgamate that data, and use their programming, math, statistical, and analytical skills to interpret it. Extracts data from multiple sources, using machine learning tools to organize data, process, clean, and validate the data, analyze the data for information and patterns, develop prediction systems, present the data clearly, and propose solutions and strategies. Responsible for leveraging data innovation and domain knowledge to identify business problems and solve them using advanced mathematics and programming. Develops predictive models for business problems and all associated activities such as data study, exploratory data analysis, and model production readiness. Collaborates with Data Engineers and Data Analysts to design robust models for the business. Participates at design reviews and project meetings.
</p><p></p><div><p>Will accept a Bachelor's Degree (or foreign academic equivalent) in Electrical Engineering, Computer Engineering, Computer Science or related degree field.
</p><p></p><p>Compensation: $46.30 - $69.46/hour
</p></div></div><p></p><div><div><div><div><div><div><div><p><b>Applicants </b>: Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here . Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
</p></div></div></div></div></div></div></div><p></p><p><b>To all Staffing and Recruiting Agencies </b>: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
</p><p><b>EEO Employer: Qualcomm 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, Veteran status, or any other protected classification.
</b></p><p></p><p>Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.<br>
</p><p></p><p>If you would like more information about this role, please contact Qualcomm Careers .</p></div>

IT Data Engineering Scientist

Boeing

<p></p><div><p>At Boeing, we innovate and collaborate to make the world a better place. We&rsquo;re committed to fostering an environment for every teammate that&rsquo;s welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.</p><p>
We are Boeing Global Services (BGS) Engineering team creating and implementing innovative technologies that make the impossible possible and enabling the future of aerospace. We provide engineering design and support, including aftermarket modifications, and are innovating to make product and services safety even stronger. Join us and put your passion, determination, and skill to work building the future! #TheFutureIsBuiltHere #ChangeTheWorld</p><p></p><p>
Join an exciting and growing team in performing complex analysis of aviation data. As modern aircraft produce increasing amounts of data in operations and maintenance, analytics are used to turn that data into insights to improve performance, enable smarter services, increase productivity, and make flying safer. The Boeing Company is currently seeking a <b>Mid-Level Engineering Data Scientist </b>to join the Boeing Global Services (BGS) Government Services Analytics team located in <b>Oklahoma City, OK, Hazelwood, MO, or Plano, TX. </b>In this position you will work with an industry-leading team of data scientists and collaborate with engineering teams to create innovative health management solutions for the KC-46 platform.</p><p></p><p>
In this position, you will play a crucial role in creating new analytics models that provide aftermarket services for our KC-46 customers. Your primary responsibilities will be interacting with customers to formulate their needs into specific requirements, building robust data processing frameworks to support solutions, and developing predictive algorithms for aircraft health management will be a key part of the job. Experience navigating data integration in a secure environment is important to success. We are looking for someone who has the analytics, collaboration, and project management skills to help shape the digital tools future for the KC-46 platform.</p><p></p><p>
The successful candidate will have a strong data engineering and data science background, with proven experience implementing a wide variety of data infrastructures, along with experience in data science techniques and approaches in cloud environments. Robust knowledge of data formats, architectures, and security are all foundational to the position. Prior aviation and engineering knowledge are both helpful as well. Excellent communication and teamwork ability are critical for success.</p><p></p><p><b>
This position is onsite. The selected candidate will be required to perform work onsite at one of the listed location options.</b></p><p></p><p><b>
Position Responsibilities:</b></p><ul><li><p>
Investigate and apply advanced statistical techniques and predictive modeling to develop predictive maintenance strategies and optimize aircraft performance.</p></li><li><p>
Collaborate with customers teams to identify and define analytics requirements.</p></li><li><p>
Implement necessary data<i> </i>preparation steps and deploy machine learning models into production systems.</p></li><li><p>
Collaborate with other engineering disciplines to solve fleet issues.</p></li><li><p>
Partner with commercial Airplane Health Management (AHM) analytics teams to adapt tools for military uses</p></li><li><p>
Support in-service data investigations, queries, and data requests.</p></li><li><p>
Ensure data security and compliance with relevant regulations throughout the data analysis lifecycle.</p></li><li><p>
Communicate findings, insights, and recommendations to technical and non-technical stakeholders through clear and concise reports, presentations, and visualizations.</p></li><li><p>
Provide input into internal research projects and strategy.</p></li></ul><p></p><p><b>
This position requires the ability to obtain a SECRET</b> <b>US Security Clearance Post-Start for which the US Government requires US Citizenship.</b></p><p></p><p><b>
To be considered for this position you will be required to complete a technical assessment as part of the selection process. Failure to complete the assessment will remove you from consideration.</b></p><p></p><p><b><br>
Basic Qualifications (Required Skills/Experience):</b></p><ul><li><p>
Bachelor of Science degree in Engineering, Engineering Technology (including Manufacturing Technology), Computer Science, Data Science, Mathematics, Physics, Chemistry or non-US equivalent qualifications directly related to the work statement</p></li><li><p>
5+ years of professional experience in data science</p></li><li><p>
2+ years of experience in Python for data science applications</p></li></ul><p></p><p><b>
Preferred Qualifications (Desired Skills/Experience):</b></p><ul><li><p>
Advanced degree (Master's or Doctorate) in Data Science, Engineering, Computer Science, Mathematics, or another similar technical background</p></li><li><p>
2+ years of experience in SQL</p></li><li><p>
Experience with KC-46 or 767 systems and architecture</p></li><li><p>
Experience working in Linux operating system</p></li><li><p>
Advanced understanding of military aircraft systems</p></li><li><p>
Understanding of software engineering development processes and tools, from inception to production</p></li><li><p>
Engineering domain knowledge relating to aircraft maintenance, design, or testing</p></li><li><p>
Experience working in an agile software development team</p></li></ul><p></p><p><b>
Relocation:</b></p><p>
This position offers relocation assistance.</p><p></p><p><b>
Drug Free Workplace:</b></p><p>
Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies.</p><p></p><p><b>
Total Rewards and Pay Transparency:</b></p><p>
At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities.
</p><p></p><p>The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work.
</p><p></p><p>The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements.</p><p></p><p>
Pay is based upon candidate experience and qualifications, as well as market and business considerations.</p><p></p><p>
Summary pay range: $119,000 - $186,300</p><p></p><p><br>
Applications for this position will be accepted until <b>Mar. 13, 2026</b></p><p><b><br>
Export Control Requirements:
</b></p><p>This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a &ldquo;U.S. Person&rdquo; as defined by 22 C.F.R. &sect;120.62 is required. &ldquo;U.S. Person&rdquo; includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee.</p><p><b>
Export Control Details:
</b></p><p>US based job, US Person required</p><p><b>
Education
</b></p><p>Bachelor's Degree or Equivalent Required</p><p><b>
Relocation
</b></p><p>This position offers relocation based on candidate eligibility.</p><p><b>
Security Clearance
</b></p><p>This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required.</p><p><b>
Visa Sponsorship
</b></p><p>Employer will not sponsor applicants for employment visa status.</p><p><b>
Shift
</b></p><p>This position is for 1st shift</p><p><b><br>
Equal Opportunity Employer:</b></p><p>
Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.</p></div>

Mid-Level Engineering Data Scientist

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Industrial Robotics Group is seeking exceptional talent to help develop the next generation of advanced robotics systems that will transform automation at Amazon's scale. We're building revolutionary robotic systems that combine innovative AI, sophisticated control systems, and advanced mechanical design to create adaptable automation solutions capable of working safely alongside humans in dynamic environments. This is a unique opportunity to shape the future of robotics and automation at unprecedented scale, working with world-class teams pushing the boundaries of what's possible in robotic manipulation, locomotion, and human-robot interaction. This role presents an opportunity to shape the future of robotics through innovative applications of deep learning and large language models.<br>
<br>
We leverage advanced robotics, machine learning, and artificial intelligence to solve complex operational challenges at unprecedented scale. Our fleet of robots operates across hundreds of facilities worldwide, working in sophisticated coordination to fulfill our mission of customer excellence.<br>
We are pioneering the development of robotics foundation models that:
<br>
<ul><li>Enable unprecedented generalization across diverse tasks</li><li>Integrate multi-modal learning capabilities (visual, tactile, linguistic)</li><li>Accelerate skill acquisition through demonstration learning</li><li>Enhance robotic perception and environmental understanding</li><li>Streamline development processes through reusable capabilities</li></ul><br>
The ideal candidate will contribute to research that bridges the gap between theoretical advancement and practical implementation in robotics. You will be part of a team that's revolutionizing how robots learn, adapt, and interact with their environment.<br>
<br>
Join us in building the next generation of intelligent robotics systems that will transform the future of automation and human-robot collaboration.<br>
<br>
As an Applied Scientist, you will develop and improve machine learning systems that help robots perceive, reason, and act in real-world environments. You will leverage state-of-the-art models (open source and internal research), evaluate them on representative tasks, and adapt/optimize them to meet robustness, safety, and performance needs. You will invent new algorithms where gaps exist. You&rsquo;ll collaborate closely with research, controls, hardware, and product-facing teams, and your outputs will be used by downstream teams to further customize and deploy on specific robot embodiments.<br>
<br>
Key job responsibilities<br>
As an Applied Scientist in the Foundations Model team, you will:
<br>
<ul><li>Leverage state-of-the-art models for targeted tasks, environments, and robot embodiments through fine-tuning and optimization.</li><li>Execute rapid, rigorous experimentation with reproducible results and solid engineering practices, closing the gap between sim and real environments.
</li><li>Build and run capability evaluations/benchmarks to clearly profile performance, generalization, and failure modes.</li><li>Contribute to the data and training workflow: collection/curation, dataset quality/provenance, and repeatable training recipes.</li><li>Write clean, maintainable, well commented and documented code, contribute to training infrastructure, create tools for model evaluation and testing, and implement necessary APIs</li><li>Stay current with latest developments in foundation models and robotics, assist in literature reviews and research documentation, prepare technical reports and presentations, and contribute to research discussions and brainstorming sessions.</li><li>Work closely with senior scientists, engineers, and leaders across multiple teams, participate in knowledge sharing, support integration efforts with robotics hardware teams, and help document best practices and methodologies.</li></ul></div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>2+ years of building models for business application experience</li><li>PhD, or Master&rsquo;s + 4+ years building ML models/algorithms in applied settings</li><li>2+ years hands-on experience in deep learning with strength in at least one: computer vision, multimodal models, imitation learning / RL for robotics, or human-robot interaction</li><li>Programming skills in Python plus one of C++/Java; ability to write production-quality research code</li><li>Ability to design rigorous experiments, analyze results, and iterate quickly with reproducible baselines</li><li>Demonstrated technical contributions (e.g., publications, patents, open-source, or impactful internal systems)</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience using Unix/Linux</li><li>Experience in professional software development</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<br>
<br>
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.<p><br>
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.</p><br>
USA, CA, Sunnyvale - 171,600.00 - 222,200.00 USD annually</div><p></p>

Applied Scientist - Foundation Model, Industrial Robotics Group

Career Development Center COMSATS University Islamabad-Islamabad Campus

<div>
 Tajir is a fast-growing B2B commerce startup transforming Pakistan&rsquo;s retail industry through technology. We build scalable software systems that power thousands of retailers, enabling them to procure inventory seamlessly and operate more efficiently.
 <br/>
 <br/>
 Tajir is backed by leading global investors including Kleiner Perkins and Y Combinator, and we are focused on building a strong engineering and data team to solve real-world problems at scale.
 <br/>
 <br/>
 <strong>
  We Are Currently Hiring
  <br/>
  <br/>
 </strong>
 Software Engineer (Fresh Graduates &amp; Experienced)
 <br/>
 <br/>
 Software Engineer Intern (3rd Year Students)
 <br/>
 <br/>
 Data Scientist (Fresh Graduates &amp; Experienced)
 <br/>
 <br/>
 Data Scientist Intern (3rd Year Students)
 <br/>
 <br/>
 Apply at
 <strong>
  https://jobs.ashbyhq.com/tajir
 </strong>
 <strong>
  .
 </strong>
</div>


Tajir | Software & Data Roles

<div>
 Join our team as a Junior Scientist and play a vital role in the future of national defense and materials science. We are currently seeking motivated entry-level Junior Scientist professionals for a growing list of projects involving modernization of explosives and energetic materials production facilities, munitions production, and novel production system design. These projects provide our Junior Scientists with the unique opportunity to coordinate with explosives and munitions subject matter experts in support of research and development capabilities and ongoing production operations. The most qualified Junior Scientist will be eager to learn, embrace a safety-first mindset, and work effectively with diverse teams, including peers, clients, and stakeholders.
 <br/>
 <br/>
 Due to the nature of this work, candidates for this position must be US citizens residing within the US. This position is located at the Naval Surface Warfare Center Indian Head (NSWC-IH) and will require you to be onsite. This position does not allow for a remote or hybrid work schedule.
 <br/>
 <br/>
 <ul>
  <li>
   This position is contingent upon the issue of technical instructions.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  As a Junior Scientist at NSWC-IH, your position will include the following key responsibilities.
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Work on assignments requiring considerable judgment and initiative.
  </li>
  <li>
   Develop solutions to routine technical problems under supervision of senior engineers and scientists.
  </li>
  <li>
   Perform research, collection and collation of data from technical studies.
  </li>
  <li>
   Responsible for the compilation of data, and preparation of inputs into larger reports.
  </li>
  <li>
   Perform assessments and projections as part of analysis process.
  </li>
  <li>
   Develop technical reports, technical briefings and project deliverables.
  </li>
  <li>
   Solve uniquely complex problems, working under the direction of senior scientists and engineers.
  </li>
  <li>
   Conduct research and analysis on various substances (organic or inorganic) to determine chemical properties, composition, structure, etc., and to investigate potential applications for energetics and explosives development and production.
  </li>
  <li>
   Acquire in-depth understanding of requirements for process and facility design and development of new manufacturing processes.
  </li>
  <li>
   Apply analytical techniques to support process development, troubleshooting, and optimization. Assist in development test plans to validate to support proof on concept designs.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Junior Scientist Minimum Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s degree in engineering or related scientific field with 0-2 years of related work experience.
  </li>
  <li>
   U.S. Citizenship with the ability to obtain a security clearance.
  </li>
  <li>
   Proficiency in a range of analytical and technical skills that support the synthesis, monitoring, and scaling of energetic materials.
  </li>
  <li>
   Experience with process safety and material handling ensuring compliance with regulatory requirements.
  </li>
  <li>
   Ability to work effectively in high-pressure, dynamic environments.
  </li>
  <li>
   Strong written and oral communication skills.
  </li>
  <li>
   Ability to undergo and pass a Department of Transportation compliant medical physical exam.
  </li>
  <li>
   Ability to undergo and pass a drug screening.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Junior Scientist Preferred Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience in the design, handling, and production of energetic materials.
  </li>
  <li>
   Active Department of Defense (DoD) security clearance is highly desired.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Applied Research Associates, Inc. Company Information
  <br/>
  <br/>
 </strong>
 Applied Research Associates, Inc. is a 100% employee-owned international research and engineering company recognized for providing technically superior solutions to complex and challenging problems in the physical sciences. We invite you to visit our website to learn more about who we are, what we do, the excellent careers and each of the competitive benefits we offer and explore some of our featured offices.
 <br/>
 <br/>
 Anticipated Salary Range: $75,000 - $90,000
</div>


Junior Scientist (Entry-Level)

Lila Sciences

<div>
 <strong>
  Your Impact at Lila
  <br/>
  <br/>
 </strong>
 As a Research Scientist in our Physical Sciences organization, you develop state-of-the-art generative modeling techniques applied to critical challenges in materials science. You will be working with cross-functional machine learning experts, software engineerings and materials scientists across multiple teams at Lila to create and deploy generative models for Lila&rsquo;s unique materials design challenges. In addition to pushing the state of the art, what is really exciting about this role is to see a clear impact of your methods on real-world materials that are being built and improved in our experimental facilities on a daily basis.
 <br/>
 <br/>
 <strong>
  What You'll Be Building
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Generative Models: Design and implement generative models (Diffusion models, flow-based models) and advanced sampling methods for diverse materials design challenges.
  </li>
  <li>
   Data Representation: Develop novel architectures &amp; methods based on physics-informed constraints and domain knowledge informed inductive biases aimed at representing and modeling materials across a wide range of chemical space for real-world applications.
  </li>
  <li>
   Real-World Validation &amp; Deployment: Create and validate datasets, frameworks, and methods for validating generative models on experimentally realized materials. Partner with software engineers and product managers to deploy solutions.
  </li>
  <li>
   Cross-Functional Partnership: Work closely with R&amp;D leadership, product managers, and automation specialists to translate scientific questions into data requirements and modeling strategies.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What You&rsquo;ll Need To Succeed
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Proficiency in Python, deep learning frameworks and end-to-end workflow deployment.
  </li>
  <li>
   Understanding of modern generative modeling methods (diffusion models, flow matching models, geometric deep learning methods) and their applications to scientific problems, including materials science, chemistry or biology (e.g. proteins).
  </li>
  <li>
   Elementary understanding of materials science, physics and chemistry and how their principles can be infused into generative model design.
  </li>
  <li>
   Strong self-starter and independent thinker, with strong attention to detail.
  </li>
  <li>
   Demonstrated industry experience or academic achievement.
  </li>
  <li>
   Excellent communication and presentation skills, capable of conveying technical information in a clear and thorough manner.
  </li>
  <li>
   Eager to work with highly skilled and dynamic teams in a fast-paced, entrepreneurial, and technical setting.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Bonus Points For
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   PhD in Materials Science, Computer Science, Physics, Chemistry, or related field with strong publication record in machine learning (NeurIPS, ICML, ICLR) and scientific (Nature, Science, Cell Press Matter, IOP) venues.
  </li>
  <li>
   Experience with computational materials science methods (DFT, Molecular Dynamics).
  </li>
  <li>
   Understanding of experimental materials science techniques related to synthesis and characterization.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  About Lila
  <br/>
  <br/>
 </strong>
 Lila Sciences is the world&rsquo;s first scientific superintelligence platform and autonomous lab for life, chemistry, and materials science.  We are pioneering a new age of boundless discovery by building the capabilities to apply AI to every aspect of the scientific method.  We are introducing scientific superintelligence to solve humankind's greatest challenges, enabling scientists to bring forth solutions in human health, climate, and sustainability at a pace and scale never experienced before. Learn more about this mission at  www.lila.ai
 <br/>
 <br/>
 If this sounds like an environment you&rsquo;d love to work in, even if you only have some of the experience listed below, we encourage you to apply.
 <br/>
 <br/>
 <strong>
  Compensation
  <br/>
  <br/>
 </strong>
 We expect the base salary for this role to fall between
 <strong>
  $176,000-$304,000 USD per year
 </strong>
 , along with bonus potential and generous early equity. The final offer will reflect your unique background, expertise, and impact.
 <br/>
 <br/>
 <strong>
  We&rsquo;re All In
  <br/>
  <br/>
 </strong>
 Lila Sciences is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
 <br/>
 <br/>
 Information you provide during your application process will be handled in accordance with our Candidate Privacy Policy.
 <br/>
 <br/>
 <strong>
  A Note to Agencies
  <br/>
  <br/>
 </strong>
 <em>
  Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science&rsquo;s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.
 </em>
</div>


AI Scientist I/II, Generative Modeling for Materials Science

AtkinsRéalis

<div><h2 class="jobSectionHeader"><b>AtkinsR&eacute;alis is looking for an Emirati Graduate Engineer for our key project based in Dubai, UAE.</b></h2><h2 class="jobSectionHeader"><b>
The Graduate Engineer is a full-time role and will be working from Monday to Friday, 40 hours per week. This role offers an excellent opportunity for a Graduate Engineer to join a key project in Dubai and gain strong exposure across engineering disciplines. Based in the project office, the successful candidate will support the project team in daily technical activities, contribute to engineering tasks, and assist in delivering project milestones. This position provides hands‑on learning, mentorship from experienced engineers, and a solid foundation for developing technical and professional skills within a dynamic project environment.</b></h2><h2 class="jobSectionHeader"><b>
Your role</b></h2><ul><li><h2 class="jobSectionHeader"><b>
Assist in the development of engineering designs, calculations, drawings, and technical documentation under the guidance of senior team members.</b></h2></li><li><h2 class="jobSectionHeader"><b>
Support day‑to‑day project activities, including data collection, analysis, reporting, and preparation of engineering deliverables.</b></h2></li><li><h2 class="jobSectionHeader"><b>
Collaborate with multidisciplinary teams&mdash;including design, project controls, construction, and stakeholder management&mdash;to support project progress and alignment.</b></h2></li><li><h2 class="jobSectionHeader"><b>
Participate in design reviews, technical discussions, and coordination meetings to gain insight into engineering processes and project requirements.</b></h2></li><li><h2 class="jobSectionHeader"><b>
Contribute to quality assurance activities by ensuring work complies with engineering standards, safety guidelines, and project procedures.</b></h2></li><li><h2 class="jobSectionHeader"><b>
Provide support in preparing presentations, reports, and updates for internal teams or external stakeholders.</b></h2></li><li><h2 class="jobSectionHeader"><b>
Engage in continuous learning to develop professional and technical competencies relevant to the project and engineering discipline</b></h2></li></ul><h2 class="jobSectionHeader"><b>
About you</b></h2><ul><li><h2 class="jobSectionHeader"><b>
Bachelor's degree in Engineering, with GPA 3.5 &amp; above (Civil, Mechanical, Electrical, Architecture or related discipline).</b></h2></li><li><h2 class="jobSectionHeader"><b>
Strong analytical and problem‑solving skills with a keen interest in engineering design and project delivery.</b></h2></li><li><h2 class="jobSectionHeader"><b>
Ability to work collaboratively in a fast‑paced, multidisciplinary project environment.</b></h2></li><li><h2 class="jobSectionHeader"><b>
Excellent communication skills and attention to detail.</b></h2></li><li><h2 class="jobSectionHeader"><b>
Proficiency in engineering software/tools is an advantage (e.g., AutoCAD, Civil 3D, Revit, MATLAB).</b></h2></li></ul><h2 class="jobSectionHeader"><b>
Rewards &amp; benefits</b></h2><h2 class="jobSectionHeader"><b>
Explore the rewards and benefits that help you thrive &ndash; at every stage of your life and your career.</b></h2><h2 class="jobSectionHeader"><b>
This includes:</b></h2><ul><li><h2 class="jobSectionHeader"><b>
Tax-free salary.</b></h2></li><li><h2 class="jobSectionHeader"><b>
Comprehensive life insurance coverage.</b></h2></li><li><h2 class="jobSectionHeader"><b>
Premium medical insurance for you and your dependents.</b></h2></li><li><h2 class="jobSectionHeader"><b>
Generous annual leave balance.</b></h2></li><li><h2 class="jobSectionHeader"><b>
Flexible and hybrid work solutions.</b></h2></li><li><h2 class="jobSectionHeader"><b>
Remote work opportunities outside of country.</b></h2></li><li><h2 class="jobSectionHeader"><b>
Company gratuity scheme.</b></h2></li><li><h2 class="jobSectionHeader"><b>
Discretionary bonus program.</b></h2></li><li><h2 class="jobSectionHeader"><b>
Employee Wellbeing Program: 24/7 access to specialists in finance, legal matters, family care, personal health, fitness, and nutrition.</b></h2></li></ul><h2 class="jobSectionHeader"><b>
Seize every opportunity to sharpen your skills, expand your expertise, and be recognized for the impact you make.</b></h2><h2 class="jobSectionHeader"><b>
About AtkinsR&eacute;alis</b></h2><h2 class="jobSectionHeader"><b>
We're AtkinsR&eacute;alis, a world-class engineering services and nuclear organization. We connect people, data and technology to transform the world's'infrastructure and energy systems. Together, with our industry partners and clients, and our global team of consultants, designers, engineers and project managers, we can change the world. We're committed to leading our clients across our various end markets to engineer a better future for our planet and its people.</b></h2></div>

Graduate Engineer

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