ai & machine learning summer/fall co-op (june '26 - dec '26)

data scientist, intern

ai & machine learning summer/fall co-op (june '26 - dec '26) Jobs in Irvine

ai intern - mandarin required Jobs in Irvine

ai intern - mandarin required

ai solutions engineer ii

ai/ml, intern

ai ml intern

Bio-Rad Laboratories, Inc.

<div><div><p>As a <b>AI/ML, Intern</b> you will build lightweight prototypes using tools already in the ecosystem (e.g., coding assistants, automation bots, internal copilots). Integrate with dev workflows (Jira, Git, CI/CD, documentation portals). Define success metrics (time saved, reduced manual steps, improved cycle time, developer satisfaction). Run controlled pilots. Capture before/after data and qualitative feedback. Document patterns, prompts, guardrails, and lessons learned. Create quick guides or playbooks for teams adopting AI tools. Present findings in demos or internal innovation forums.</p><br>
<p></p>
<p><b>
Location: </b>This position must be based in <b>Irvine, California</b> and requires the employee to be located within commuting distance of the office.</p>
<p><b>
How You'll Make An Impact:</b></p>
<ul>
<li>Identify and prioritize high-value AI use cases by engaging engineering, QA, DevOps, and product teams to uncover workflow friction and automation opportunities.</li>
<li>Design and deliver rapid PoCs that integrate AI tools into SDLC workflows, demonstrating measurable productivity or quality improvements.</li>
<li>Define success metrics and run structured pilots, capturing quantitative and qualitative insights to inform scale-up decisions.</li>
<li>Document reusable patterns, guardrails, and playbooks to enable safe and consistent AI adoption across teams.</li>
<li>Present findings and recommendations to leadership, directly shaping the AI roadmap and influencing investment priorities.</li>
</ul>
<p><b>What You Bring:</b></p>
<ul>
<li>Education: Currently pursuing a Bachelor's or Master's degree at an accrdited university in Computer Science or Data Science. Eligible candidates must be rising juniors, seniors, or graduate students who intend to return to their academic program the following academic year.</li>
<li>A minimum cumulative GPA of 3.0 on a 4.0 scare is required.</li>
<li>Proficiency in Python (preferred) or JavaScript, with the ability to build small automation scripts, APIs, or prototypes.</li>
<li>Familiarity with LLMs, prompt engineering, embeddings, and common AI tooling ecosystems (copilots, APIs, automation platforms).</li>
<li>Ability to break down ambiguous workflow problems, formulate hypotheses, and design simple experiments to validate AI solutions.</li>
<li>Exposure to developer tools and platforms (Git, Jira, REST APIs, basic CI/CD concepts) to embed AI solutions into real workflows.</li>
<li>Comfort working with datasets, running small evaluations, measuring outcomes, and summarizing insights.</li>
<li>Ability to document findings, create simple guides, and present PoC results clearly to technical and non-technical stakeholders.</li>
<li>Experience with cloud platforms (AWS basics)</li>
<li>Familiarity with automation frameworks or low-code tools. Amazon Q or Kiro preferred.</li>
<li>Exposure to software engineering best practices (testing, security awareness)</li>
<li>Curiosity and self-driven learning mindset.</li>
</ul>
<p><b>Total Rewards Package: </b>At Bio-Rad, we&rsquo;re empowered by our purpose and recognize that our employees are as well. That&rsquo;s why we offer a competitive and comprehensive Total Rewards Program that provides value, quality, and inclusivity while satisfying the diverse needs of our evolving workforce. Bio-Rad's robust offerings serve to enrich the overall health, wealth, and wellbeing of our employees and their families through the various stages of an employee&rsquo;s work and life cycle.</p><br>
<p></p>
<p><b>
Benefits:</b> We&rsquo;re proud to offer a variety of options, including competitive medical plans for you and your family, free HSA funds, a new fertility offering with stipend, group life and disability, paid parental leave, 401k plus profit sharing, an employee stock purchase program, a new upgraded and streamlined mental health platform, extensive learning and development opportunities, education benefits, student debt relief program, pet insurance, wellness challenges and support, paid time off, Employee Resource Groups (ERG&rsquo;s), and more!</p><br>
<p></p>
<p><b>
Compensation: </b>The estimated hourly rate for this position is $25.00 at the time of posting. Actual compensation will be provided in writing at the time of offer, if applicable, and is based on several factors we believe fairly and accurately impact compensation, including geographic location, experience, knowledge, skills, abilities, and other job permitted factors. This position is eligible for a variable annual bonus, which is dependent upon achievement of your individual objectives and Company performance.</p><br>
<p></p>
<p><b>
Who We Are:</b> For 70 years, Bio-Rad has focused on advancing the discovery process and transforming the fields of science and healthcare. As one of the top five life science companies, we are a global leader in developing, manufacturing, and marketing a broad range of high-quality research and clinical diagnostic products. We help people everywhere live longer, healthier lives. Bio-Rad offers a unique employee experience with collaborative teams that span the globe. Here, you are supported by leadership to build your career and are empowered to drive change that makes an impact you can see.</p><br>
<p>
</p><p><b>EEO Statement: </b>Bio-Rad is an Equal Employment Opportunity/Affirmative Action employer, and we welcome candidates of all backgrounds. Veterans, people with physical or mental disabilities, and people of all race, color, sex, sexual orientation, gender identity, religion, national origin and citizenship status are encouraged to apply.</p><br>
<p></p>
<p><b>
Agency Non-Solicitation: </b>Bio-Rad does not accept agency resumes, unless the agency has been authorized by a Bio-Rad Recruiting Representative. Please do not submit resumes unless authorized to do so. Bio-Rad will not pay for any fees related to unsolicited resumes.</p><br>
<p></p>
<p><b>
Fraud Alert</b><b>:</b> Bio-Rad has received reports of individuals posing as Bio-Rad recruiters to obtain information, including personal and financial, from applicants. Beware of these fake &quot;recruiters&quot; and job scams. Click here for more information on this scam and how to avoid it. #LI-JS1</p>
</div>
<div>Legal Entity: (USA_1000)Bio-Rad Laboratories, Inc.</div></div>

AI/ML, Intern

Skyworks Solutions

<div><p>If you are looking for a challenging and exciting career in the world of technology, then look no further. Skyworks is an innovator of high-performance analog semiconductors whose solutions are powering the wireless networking revolution. Through our broad technology expertise and one of the most extensive product portfolios in the industry, we are Connecting Everyone and Everything, All the Time.</p><p></p><p><br>
At Skyworks, you will find a fast-paced environment with a strong focus on global collaboration, minimal layers of management, and the freedom to make meaningful contributions in a setting that encourages creative thinking. We are excited about the opportunity to work with you and glad you want to be part of a team of talented individuals who together are changing the way the world communicates.</p><p>
Requisition ID: 76559</p><div><div><div><h2 class="jobSectionHeader"><b>
Description</b></h2></div><div><div>
As an AI/ML Co-op, you will support engineering efforts for AI and machine learning initiatives spanning multiple business units. You&rsquo;ll lead small projects under the supervision of the enterprise AI/ML engineering team, collaborating with stakeholders from various departments.</div><div>
</div><div>
Term: Summer/Fall Co-Op (June '26 - Dec '26)</div></div></div><div><div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2></div><div><div>
Your responsibilities will include:</div><ul><li>
Gathering and analyzing engineering and business data to identify opportunities for AI/ML solutions.</li><li>
Developing code for core use case functionality with guidance and gradually work independently</li><li>
Designing and implementing new procedures and workflows for AI/ML projects.</li><li>
Identifying bottlenecks and working with cross-functional teams to develop and deploy solutions.</li><li>
Assisting with documentation, reporting, and other project deliverables.</li></ul><div>
This opportunity will allow you to sharpen your AI/ML, technical, and problem-solving skills in a dynamic business environment.</div></div></div><div><div><h2 class="jobSectionHeader"><b>
Required Experience and Skills</b></h2></div><div><ul><li>
Current Junior/Senior undergraduate studying Computer Science, Data Science, Electrical, Mechanical, or Industrial Engineering</li><li>
Must be able to temporarily relocate to work on-site, full-time hours from June 2026 to December 2026</li><li>
Experience using programming languages (Python), and AI/ML frameworks like Pytorch, and an understanding of AI algorithms.</li><li>
Proficiency using VScode or other programming IDEs, ramp up learning curve on using code assists to complete tasks. Be able to quickly learn company-specific software (Agentic AI, LangChain, LangGraph, Genie, Databricks).</li></ul></div></div><div><div><h2 class="jobSectionHeader"><b>
Desired Experience and Skills</b></h2></div><div><ul><li>
Programming in Python for over 2 + years, understanding of AI/ML algorithms, be able to solve problems quickly.</li><li>
Self-starter with a strong work ethic, eager to tackle challenges and take ownership.</li><li>
Willingness to work in a hands-on, collaborative environment.</li><li>
Strong time management, communication, organization, and documentation skills.</li></ul><div>
Please note: If you have already graduated and are not currently enrolled in school, you are not eligible for this Co-Op position.</div><div>
</div><div>
#LI-DNI</div></div></div></div><p>
The typical pay range for an Engineering intern across the U.S. is currently USD $26.00 - $47.50 per hour and for a Non-Engineering intern across the U.S. is currently USD $22.50 - $42.00 per hour. Starting pay will depend on level of education, the ultimate job duties and requirements, and work location. Skyworks has different pay ranges for different work locations in the U.S.</p><p></p><p><br>
Skyworks is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Skyworks strives to create an accessible workplace; if you need an accommodation due to a disability, please contact us at accommodations@skyworksinc.com.</p></div>

AI & Machine Learning Summer/Fall Co-Op (June '26 - Dec '26)

<div><p>If you are looking for a challenging and exciting career in the world of technology, then look no further. Skyworks is an innovator of high-performance analog semiconductors whose solutions are powering the wireless networking revolution. Through our broad technology expertise and one of the most extensive product portfolios in the industry, we are Connecting Everyone and Everything, All the Time.</p><p></p><p><br>
At Skyworks, you will find a fast-paced environment with a strong focus on global collaboration, minimal layers of management, and the freedom to make meaningful contributions in a setting that encourages creative thinking. We are excited about the opportunity to work with you and glad you want to be part of a team of talented individuals who together are changing the way the world communicates.</p><p>
Requisition ID: 77187</p><div><div><div><h2 class="jobSectionHeader"><b>
Description</b></h2></div><div><p>
Skyworks is building a high‑impact AI/ML portfolio across manufacturing, operations, quality, and supply chain. We are hiring a Senior Manager to lead an elite Program Management team responsible for driving execution and delivering measurable ROI from AI/ML initiatives. This leader will design and run a world‑class program operating system&mdash;shaping the AI/ML roadmap with stakeholders, structuring cross‑functional delivery, managing dependencies, and driving adoption to ensure solutions progress from pilot to scaled production with clear business outcomes.</p></div></div><div><div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2></div><div><div>
1) ROI &amp; Business Value Realization<br>
<ul><li>Own the AI/ML value realization framework: define value hypotheses, establish baselines, quantify benefits, and track ROI post-deployment.</li><li>Partner with Ops/Manufacturing/Quality/Supply Chain/Finance leaders to define business outcomes, success metrics, and adoption requirements before build starts.</li><li>Create and maintain value dashboards (KPI trees, financial impact models, benefit tracking, and realized vs. projected value).</li><li>Ensure each initiative has clear &ldquo;definition of done&rdquo;: production adoption, process integration, training, support model, and measurable KPI lift.</li></ul>
2) Program &amp; Portfolio Leadership<br>
<ul><li>Lead the AI/ML program portfolio across manufacturing and operations: intake prioritization delivery scale.</li><li>Drive structured execution: program plans, timelines, RAID logs, milestone reviews, risk management, change control, and executive updates.</li><li>Run governance forums: steering committees, operating reviews, and cross-functional decision-making cadences.</li></ul>
3) Cross-Functional Leadership<br>
<ul><li>Coordinate across Manufacturing Engineering, Operations, Quality, Supply Chain, IT, Data Engineering, Security, and Site Leadership.</li><li>Drive alignment on data access, system integration, validation/qualification, and operational rollout.</li><li>Anticipate and resolve organizational friction such as ownership gaps, resourcing conflicts, scope creep.</li></ul>
4) AI/ML Delivery Enablement (Product + Execution Mindset)<br>
<ul><li>Translate operational problems into executable AI/ML initiatives: well-defined problem statements, requirements, constraints, and acceptance criteria.</li><li>Partner closely with DS/ML engineers and data teams on experimentation cadence, evaluation plans, and deployment readiness.</li><li>Ensure solutions meet manufacturability requirements: reliability, monitoring, drift detection, retraining triggers, and incident response.</li></ul>
5) Build the &ldquo;Elite Team&rdquo; Operating Model<br>
<ul><li>Help scale an elite execution bench by influencing hiring plans, partner selection, and cross-functional staffing models.</li><li>Establish playbooks for AI/ML delivery in operations: intake templates, experimentation standards, MLOps handoffs, and rollout checklists.</li><li>Coach project leads and stakeholders on modern AI/ML delivery best practices.</li></ul></div></div></div><div><div><h2 class="jobSectionHeader"><b>
Required Experience and Skills</b></h2></div><div><ul><li>Master or PhD in related technical fields such as Software Engineering, Electrical Engineering, Data Analytics.</li><li>12+ years in program management, technical program management, operations program leadership, or related roles; including cross-functional delivery in complex environments.</li><li>Demonstrated experience driving operational ROI (not just shipping projects): measurable improvements in yield, scrap, cycle time, OEE, cost, forecast accuracy, quality escapes, etc.</li><li>Strong ability to work with technical teams (DS/ML, data engineering, software, IT) and operational teams (manufacturing/quality/supply chain).</li><li>Proficiency with program management tools and methods (Agile/Hybrid, dependency management, RAID, executive reporting).</li><li>Excellent stakeholder management: can align executives, engineers, and factory teams and drive decisions.</li></ul></div></div><div><div><h2 class="jobSectionHeader"><b>
Desired Experience and Skills</b></h2></div><div><ul><li>Experience in semiconductor manufacturing or high-mix, high-volume manufacturing environments.</li><li>Familiarity with AI/ML use cases in manufacturing/operations:</li></ul>
o predictive maintenance, anomaly detection, tool health monitoring<br>
o yield modeling, defect classification, inline metrology analytics<br>
o process control, virtual metrology, dispatch optimization<br>
o demand/supply planning, inventory optimization, lead-time prediction<br>
<ul><li>Exposure to MLOps concepts (model deployment lifecycle, monitoring, retraining, validation).</li></ul><p>
#LI-JR1</p></div></div></div><p></p><p><br>
The typical base pay range for this role across the U.S. is currently USD $143,000 - $286,400 per year. Starting base pay will depend on relevant experience and skills, training and education, business needs, market demands, the ultimate job duties and requirements, and work location. Skyworks has different base pay ranges for different work locations in the U.S. Benefits include access to healthcare benefits (including a premium-free medical plan option), a 401(k) plan and company match, an employee stock purchase plan, paid time off (including vacation, sick/wellness, parental leave), among others. Employees are eligible to participate in an incentive plan, and certain roles are also eligible for additional awards, including recognition and stock. These incentives and awards are based on individual and/or company performance.</p><p></p><p><br>
Skyworks is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Skyworks strives to create an accessible workplace; if you need an accommodation due to a disability, please contact us at accommodations@skyworksinc.com.</p></div>

Sr. Manager, Program Management

Boot Barn

<div>
 <p>
  The Senior Data Scientist will play a critical role in building the foundation of Boot Barn&rsquo;s AI and Data Science division, with a focus on developing advanced machine learning and generative AI solutions. This position will lead the design and deployment of models that power data driven solutions to support cross-departmental products, and intelligent agentic systems.
 </p>
 <p>
 </p>
 <p>
  Working closely with AI/ML and Data Engineers, this individual will ensure models are robust, well-designed, and ready to scale, while contributing to the establishment of data science best practices across the organization.
 </p>
 <p>
  <strong>
  </strong>
 </p>
 <p>
  <strong>
   Essential Duties and Responsibilities
  </strong>
 </p>
 <ul>
  <li>
   Design, build, and deploy predictive and generative AI models to address high-impact applications such as personalization, forecasting, marketing automation, and conversational agents.
  </li>
  <li>
   Conduct exploratory data analysis, statistical modeling, causal inference, and A/B experimentation to uncover insights and validate model performance.
  </li>
  <li>
   Develop high-quality, modular Python code for model training and experimentation using libraries and frameworks such as pandas, numpy, scikit-learn, PyTorch, TensorFlow.
  </li>
  <li>
   Collaborate with AI/ML Engineers to productionize models through containerization, orchestration, and CI/CD pipelines.
  </li>
  <li>
   Collaborate with Data and AI/ML Engineers to establish RAG pipelines, vector databases, and agentic frameworks.
  </li>
  <li>
   Prototype and deploy generative AI applications such as content generation agents, knowledge assistants, and multimodal interfaces.
  </li>
  <li>
   Partner cross-functionally with Store Operations, Ecommerce, Marketing, Merchandise, Supply Chain and Real Estate to identify and prioritize high-impact AI opportunities.
  </li>
  <li>
   Contribute to data science best practices, model documentation, and the creation of reusable modeling frameworks.
  </li>
  <li>
   Translate complex model results into clear business insights for technical and non-technical audiences.
  </li>
  <li>
   Demonstrates high level of quality work, attendance and appearance.
  </li>
  <li>
   Demonstrates high degree of professionalism in communication, attitude and teamwork with customers, peers and management.
  </li>
  <li>
   Adhere to all local, federal and state laws in addition to Company policies, procedures, and practices.
  </li>
  <li>
   Performs any other duties that may be assigned by management.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Qualifications
  </strong>
 </p>
 <ul>
  <li>
   Bachelor's or Master&rsquo;s degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
  </li>
  <li>
   3-5+ years of hands-on data science experience; proven track record in developing and deploying ML and generative AI models.
  </li>
  <li>
   Strong expertise in SQL, Python and core ML frameworks (scikit-learn, PyTorch, TensorFlow)
  </li>
  <li>
   Experience with LLMs, vector databases, and RAG pipelines
  </li>
  <li>
   Familiarity with MLOps workflows, containerization (Docker), and orchestration (Kubernetes) tools.
  </li>
  <li>
   Strong collaboration skills, with experience working closely with engineering and product teams.
  </li>
  <li>
   Retail and/or e-commerce experience preferred.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Competencies
  </strong>
 </p>
 <ul>
  <li>
   Ensure Effective Communication - Listens carefully and attentively to others' opinions and ideas. Communicates information clearly, concisely, and professionally.
  </li>
  <li>
   Establish Trust - Follows through on commitments. Is honest and direct with others. Promotes a culture of respect for, commitment to, and compliance with Company values, beliefs, and standards. Ensures the protection of confidential information.
  </li>
 </ul>
 <p>
 </p>
 <p>
  <strong>
   Boot Barn Benefits &amp; Additional Compensation Opportunities
  </strong>
 </p>
 <ul>
  <li>
   Competitive salary.
  </li>
  <li>
   Merchandise discount: 50% off of Exclusive Brands and 40% off of third-party brands.
  </li>
  <li>
   Paid Time Off plan for year-round Boot Barn Partners.**
  </li>
  <li>
   Medical, Dental, Vision and Life Insurance.**
  </li>
  <li>
   401(k) plan with generous company matching.
  </li>
  <li>
   Flexible schedules and work/life balance.
  </li>
  <li>
   Opportunities for growth at every level &ndash; we are opening 50+ new stores each year.
  </li>
 </ul>
 <p>
  **For eligible Boot Barn Partners
 </p>
 <p>
  PAY RANGE: $125,000.00 - $150,000.00/yr*
 </p>
 <p>
  <em>
   *compensation varies based on geography, skills, experience, and tenure
  </em>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Physical Demands
  </strong>
 </p>
 <p>
  In general, the following physical demands are representative of those that must be met by a Partner to successfully perform the essential functions of this job. Reasonable accommodations may be made to allow differently abled individuals to perform the essential functions of the job.
 </p>
 <ul>
  <li>
   Standing, walking and squatting less than fifty percent of the work shift.
  </li>
  <li>
   Required to lift, move and carry up to 40 pounds.
  </li>
  <li>
   Ability to read, count and write to accurately complete all documentation and reports.
  </li>
  <li>
   Must be able to see, hear and speak in order to communicate with partners and customers.
  </li>
  <li>
   Specific vision abilities include close vision, distance vision, peripheral vision, depth perception and ability to adjust focus.
  </li>
  <li>
   Manual dexterity required using hands to finger; handle, feel and type; reach with hands and arms.
  </li>
 </ul>
 <p>
  [ ] Sedentary: Limited activity, no lifting, limited walking
 </p>
 <p>
  [ X ] Light: Office work, some lifting, bending, stooping or kneeling, walking
 </p>
 <p>
  [ ] Moderate: Mostly standing, walking, bending, frequent lifting
 </p>
 <p>
  [ ] Arduous: Heavy lifting, bending, crawling, climbing
 </p>
 <p>
 </p>
 <p>
  <strong>
   Work Environment
  </strong>
 </p>
 <p>
  In general, the following conditions of the work environment are representative of those that a Partner encounters while performing the essential functions of this job. Reasonable accommodations may be made to allow differently abled individuals to perform the essential functions of the job within the environment.
 </p>
 <ul>
  <li>
   The workspace is clean, orderly, properly lighted and ventilated with the proper safety compliance.
  </li>
  <li>
   Noise levels are considered moderate.
  </li>
 </ul>
 <p>
 </p>
 <p>
  <em>
   Boot Barn, Inc. reserves the right to make exceptions to modify or eliminate this document or its content. This document supersedes all previous policies, procedures or guidelines pertaining to this subject.
  </em>
 </p>
 <p>
 </p>
 <p>
  <em>
   Our core value of community bands us together in supportive and inclusive ways to drive our collective success. Boot Barn provides equal employment opportunity to all applicants and employees without regard to race, color, religion, sex, sexual orientation, age, national or ethnic origin, veteran or military status, disability, as well as any other protected status under the law.
  </em>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <em>
   Americans with Disabilities Act (ADA) - Boot Barn will provide reasonable accommodations (such as a qualified sign language interpreter or other personal assistance) with the application process upon your request as required by applicable laws. If you have a disability and require assistance in this application process, please visit your nearest Boot Barn Store or Distribution Center or reach out to Human Resources at 1-949-453-4400, Option 4.
  </em>
 </p>
 <p>
 </p>
 <p>
  California Privacy Notice
 </p>
</div>


Senior Data Scientist

Skyworks Solutions, Inc.

<div>
 If you are looking for a challenging and exciting career in the world of technology, then look no further. Skyworks is an innovator of high-performance analog semiconductors whose solutions are powering the wireless networking revolution. Through our broad technology expertise and one of the most extensive product portfolios in the industry, we are Connecting Everyone and Everything, All the Time.
 <br/>
 <br/>
 At Skyworks, you will find a fast-paced environment with a strong focus on global collaboration, minimal layers of management, and the freedom to make meaningful contributions in a setting that encourages creative thinking. We are excited about the opportunity to work with you and glad you want to be part of a team of talented individuals who together are changing the way the world communicates.
 <br/>
 <br/>
 Requisition ID: 75764
 <br/>
 <br/>
 <strong>
  Description
  <br/>
  <br/>
 </strong>
 Skyworks Solutions is seeking a
 <strong>
  Machine Learning Engineer (MLE)
 </strong>
 to join our rapidly growing AI/ML team in Irvine, CA. This is a highly technical, hands-on role designed for individuals who thrive at the intersection of cutting-edge machine learning, signal processing, and semiconductor innovation. If you&rsquo;re looking to apply your ML expertise to high-impact, real-world engineering challenges in the analog and RF domain, this is your opportunity.
 <br/>
 <br/>
 Skyworks is an innovator of high-performance analog semiconductors enabling next-generation wireless communications. From 5G to IoT to automotive, our technologies are helping to connect the world. At Skyworks, you&rsquo;ll find a fast-paced environment with a flat organizational structure and global collaboration. We value open communication, creativity, mutual respect, and technical excellence.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 As a Machine Learning Engineer on the Data Analytics and AI Enablement team, you will lead and contribute to projects that apply advanced ML and deep learning to a variety of use cases across the company&mdash;including design automation, yield prediction, anomaly detection, signal classification, and device modeling. You will collaborate with world-class engineers across electrical, RF, product, and manufacturing domains to deliver real business impact through data and AI.
 <br/>
 <br/>
 <ul>
  <li>
   Predictive analytics for yield and quality improvement
  </li>
  <li>
   Optimization of circuit or device parameters
  </li>
  <li>
   RF signal modeling and anomaly detection
  </li>
  <li>
   Root-cause analysis across test and manufacturing data
  </li>
  <li>
   Own the end-to-end ML pipeline: data acquisition, feature engineering, model selection, training, evaluation, deployment, and monitoring.
  </li>
  <li>
   Collaborate with cross-functional stakeholders including design engineers, process experts, and product owners to understand problem statements and translate them into ML solutions.
  </li>
  <li>
   Work on both research-oriented prototypes and production-grade deployments.
  </li>
  <li>
   Stay up-to-date with current trends in ML, especially those relevant to semiconductor, signal processing, or high-dimensional time-series data.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Required Experience And Skills
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   BS and 8 years experience (Ph.D. preferred) in Machine Learning, Computer Science, Electrical Engineering, Applied Mathematics, or a related field.
  </li>
  <li>
   Strong theoretical and practical experience in machine learning and deep learning, including CNNs, transformers, time-series models, or probabilistic methods.
  </li>
  <li>
   Proficiency in Python and ML frameworks such as PyTorch, TensorFlow, Scikit-learn.
  </li>
  <li>
   Solid understanding of statistics, optimization, and model evaluation techniques.
  </li>
  <li>
   Excellent communication and collaboration skills, with the ability to work across disciplines and teams.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Desired Experience And Skills
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Exposure to semiconductor, electronics, or RF system domains (e.g., basic understanding of circuit behavior, test data, signal integrity).
  </li>
  <li>
   Experience working with large, complex datasets (e.g., sensor, waveform, or EDA simulation outputs).
  </li>
  <li>
   Familiarity with data infrastructure and workflow orchestration (e.g., Airflow, MLflow, or cloud platforms).
  </li>
  <li>
   Contributions to peer-reviewed research, patents, or open-source ML projects.
   <br/>
   <br/>
  </li>
 </ul>
 The typical base pay range for this role across the U.S. is currently USD $91,200 - $177,200 per year. Starting base pay will depend on relevant experience and skills, training and education, business needs, market demands, the ultimate job duties and requirements, and work location. Skyworks has different base pay ranges for different work locations in the U.S. Benefits include access to healthcare benefits (including a premium-free medical plan option), a 401(k) plan and company match, an employee stock purchase plan, paid time off (including vacation, sick/wellness, parental leave), among others. Employees are eligible to participate in an incentive plan, and certain roles are also eligible for additional awards, including recognition and stock. These incentives and awards are based on individual and/or company performance.
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 Skyworks is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Skyworks strives to create an accessible workplace; if you need an accommodation due to a disability, please contact us at accommodations@skyworksinc.com.
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Data Scientist

LSEV USA Corp

<p>Job description:</p><p>AI Software Development Engineer (SDE) Intern - <b>Mandarin Speaking Required</b></p><p><b>Location:</b> Irvine, CA<br/><b>Work Type:</b> Onsite (minimum 20 hours/week)</p><p><b>Role Overview</b></p><p>We are hiring an <b>SDE Intern</b> to support backend development, API design, and product-oriented system building.<br/>This role is onsite in Irvine and works closely with engineering, product, and operations teams. The ideal candidate is technically solid, product-minded, and comfortable working across <b>engineering, market understanding, and documentation</b>.</p><p>Key Responsibilities</p><ul><li>Design, develop, and maintain backend services and APIs</li><li>Participate in system architecture and API interface design</li><li>Write <b>clear technical documentation</b> (API specs, internal system docs)</li><li>Conduct <b>basic market research</b> to support product and system decisions</li><li>Analyze competitor products, pricing models</li><li>Translate market insights into product and technical requirements</li><li>Collaborate with product and operations teams across regions</li><li>Support communication between English- and Mandarin-speaking stakeholders</li></ul><p>Required Qualifications</p><ul><li>Familiar with backend development and <b>API design</b></li><li>Solid software engineering fundamentals</li><li>Comfortable writing structured technical and product documentation</li><li><b>Able to read and speak Mandarin</b> for technical and product communication</li><li>Comfortable conducting <b>market research and competitive analysis</b></li><li>Strong understanding of U.S. product, market, or startup environment</li><li>Product-oriented mindset, beyond pure coding tasks</li><li>Able to work onsite in Irvine at least 20 hours per week</li></ul><p>Nice to Have</p><ul><li>Experience combining technical work with market or product analysis</li><li>Familiarity with subscription models, SaaS, or hardware-enabled services</li><li>Experience with cloud platforms or modern backend frameworks</li><li>Experience working in bilingual or cross-border teams</li></ul><p>What You&rsquo;ll Gain</p><ul><li>Accept CPT/OPT candidates</li><li>Hands-on experience building production-level backend systems</li><li>Exposure to how market research feeds directly into product and system design</li><li>Cross-functional experience across engineering, product, and operations</li><li>Strong foundation in API-driven, product-oriented infrastructure development</li></ul><p>Job Types: Full-time, Part-time, Internship</p><p>Pay: Up to $20.00 per hour</p><p>Expected hours: 20.0 &ndash; 40.0 per week</p><p>Work Location: In person</p><p>Job Types: Part-time, Internship</p><p>Work Location: In person</p><p>Pay: Up to $20.00 per hour</p><p>Work Location: In person</p>

AI Intern - Mandarin Required

<div><div><p>The <b>Software Product Owner Intern, </b>will support delivery of a defined feature within a cloud informatics platform for Quality Control Data Management by contributing to requirements analysis, user story generation, and scrum execution using AI tools. In partnership with the software informatics product owner team, the intern will work on a real product backlog, producing artifacts that are directly usable by the delivery team.</p><br>
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Location: </b>This position must be based in <b>Irvine, California</b> and requires the employee to be located within commuting distance of the office.</p>
<p><b>
How You'll Make An Impact:</b></p>
<ul>
<li>A Defined user or business problem or opportunity statements based on discovery and requirements elicitation.</li>
<li>Documented software requirements decomposition using AI tools and reviewed by the PO team.</li>
<li>Visual artifacts (ex. Workflows, wireframes) for the feature to augment the written requirements.</li>
<li>A set of ready for grooming users stories contating EARS formatted requirements, for a prioritized feature in our software roadmap.</li>
</ul>
<p><b>What You Bring:</b></p>
<ul>
<li>An undergraduate or graduate student pursuing a degree in Bio-Engineering, Bioinformatics, Software Engineering, Computer Science, Information Systems, Business Analysis, or a related field. Eligible candidates must be rising juniors, seniors, or graduate students who intend to return to their academic program the following academic year.</li>
<li>A minimum cumulative GPA of 3.0 on a 4.0 scale is required.</li>
<li>Familiarity with Agile/Scrum methodology and tools (ex. JIRA).</li>
<li>Experience or coursework in business or system analysis.</li>
<li>Experience with AI productivity tools.</li>
<li>Expereince or understanding of laboratory techniques and processes.</li>
</ul>
<p><b>Total Rewards Package: </b>At Bio-Rad, we&rsquo;re empowered by our purpose and recognize that our employees are as well. That&rsquo;s why we offer a competitive and comprehensive Total Rewards Program that provides value, quality, and inclusivity while satisfying the diverse needs of our evolving workforce. Bio-Rad's robust offerings serve to enrich the overall health, wealth, and wellbeing of our employees and their families through the various stages of an employee&rsquo;s work and life cycle.</p><br>
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Benefits:</b> We&rsquo;re proud to offer a variety of options, including competitive medical plans for you and your family, free HSA funds, a new fertility offering with stipend, group life and disability, paid parental leave, 401k plus profit sharing, an employee stock purchase program, a new upgraded and streamlined mental health platform, extensive learning and development opportunities, education benefits, student debt relief program, pet insurance, wellness challenges and support, paid time off, Employee Resource Groups (ERG&rsquo;s), and more!</p><br>
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<p><b>
Compensation: </b>The estimated hourly rate for this position is $25.00 at the time of posting. Actual compensation will be provided in writing at the time of offer, if applicable, and is based on several factors we believe fairly and accurately impact compensation, including geographic location, experience, knowledge, skills, abilities, and other job permitted factors. This position is eligible for a variable annual bonus, which is dependent upon achievement of your individual objectives and Company performance.</p><br>
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<p><b>
Who We Are:</b> For 70 years, Bio-Rad has focused on advancing the discovery process and transforming the fields of science and healthcare. As one of the top five life science companies, we are a global leader in developing, manufacturing, and marketing a broad range of high-quality research and clinical diagnostic products. We help people everywhere live longer, healthier lives. Bio-Rad offers a unique employee experience with collaborative teams that span the globe. Here, you are supported by leadership to build your career and are empowered to drive change that makes an impact you can see.</p><br>
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</p><p><b>EEO Statement: </b>Bio-Rad is an Equal Employment Opportunity/Affirmative Action employer, and we welcome candidates of all backgrounds. Veterans, people with physical or mental disabilities, and people of all race, color, sex, sexual orientation, gender identity, religion, national origin and citizenship status are encouraged to apply.</p><br>
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<p><b>
Agency Non-Solicitation: </b>Bio-Rad does not accept agency resumes, unless the agency has been authorized by a Bio-Rad Recruiting Representative. Please do not submit resumes unless authorized to do so. Bio-Rad will not pay for any fees related to unsolicited resumes.</p><br>
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<p><b>
Fraud Alert</b><b>:</b> Bio-Rad has received reports of individuals posing as Bio-Rad recruiters to obtain information, including personal and financial, from applicants. Beware of these fake &quot;recruiters&quot; and job scams. Click here for more information on this scam and how to avoid it. #LI-JS1</p>
</div>
<div>Legal Entity: (USA_1000)Bio-Rad Laboratories, Inc.</div></div>

Software Product Owner, Intern

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