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data engineer

data scientist

senior ai/ml engineer - remote Jobs in Irvine

senior ai/ml engineer - remote

machine learning engineer

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.
 <br/>
 <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.
 <br/>
 <br/>
</div>


Data Scientist

Slalom

<div>
 <strong>
  Role: Data Engineer
  <br/>
  <br/>
 </strong>
 <strong>
  Who You&rsquo;ll Work With
  <br/>
  <br/>
 </strong>
 At Slalom we co-create custom software, data and cloud products with clients who are ready to accelerate their digital transformation. We're passionate about technology, compelled by its potential as we help create the digital products, experiences, and technology-driven organizations that drive true change. We&rsquo;re thrilled by the opportunity to build the future we want to see, with anyone willing to join us.
 <br/>
 <br/>
 Slalom's Data Engineering Discipline Is Focused On Injecting Intelligence Into Products, Engineering Systems That Support Learning And Insight And Creating Innovative Data Products. Within Data Engineering We Help Customers Build World-class Products Through Effective Use Of
 <br/>
 <br/>
 <ul>
  <li>
   Data engineering consisting of streaming / real-time data solutions, modern data platforms and data systems within products (i.e., database systems, graph databases, key-value stores, document databases and transactional systems)
  </li>
  <li>
   Enhancing Machine Learning and Artificial Intelligence capabilities
  </li>
  <li>
   You will work collaboratively with teams in a hybrid environment, with expectation to be in-person with Slalom team members and clients as needed.
  </li>
  <li>
   You also must be within commutable distance to one of the listed Slalom office locations for this role.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What You&rsquo;ll Do
  <br/>
  <br/>
 </strong>
 Slalom Data Engineering discipline is comprised of passionate, flexible technologists who love to practice and hone their craft. As tools evolve and technologies emerge, we work to stay in front of innovations in data platform development and delivery.
 <br/>
 <br/>
 As a Data Engineer for Slalom, you will work in collaborative teams to deliver innovative solutions on Amazon Web Services, Microsoft Azure, and Google Cloud Platform using core cloud data warehouse tools, distributed processing engines, event streaming platforms, and other modern data technologies. In addition to building the next generation of data platforms, you will be working with some of the most forward-thinking organizations in data and analytics.
 <br/>
 <br/>
 You will be engaged to participate in design sessions and be responsible for the timely completion of development items assigned to you in a project backlog.
 <br/>
 <br/>
 <strong>
  What You&rsquo;ll Bring
  <br/>
  <br/>
 </strong>
 You will have an interest to become the best at what you do and will have many opportunities to gain hands-on experience with new data platforms and programming languages as you explore the range of technologies that we help our clients with including:
 <br/>
 <br/>
 <ul>
  <li>
   Big Data Platforms (Apache Spark, Presto, Amazon EMR)
  </li>
  <li>
   Cloud Data Warehouses (Amazon Redshift, Snowflake, Google BigQuery)
  </li>
  <li>
   Object Oriented Coding (Java, Python)
  </li>
  <li>
   NoSQL Databases (DynamoDB, Cosmos DB, MongoDB)
  </li>
  <li>
   Container Management Systems (Kubernetes, Amazon ECS)
  </li>
  <li>
   Artificial Intelligence / Machine Learning (Amazon Sagemaker, Azure ML Studio)
  </li>
  <li>
   Streaming Data Ingestion and Analytics (Amazon Kinesis, Apache Kafka)
  </li>
  <li>
   Visual Analytics (Tableau, PowerBI)
  </li>
  <li>
   Modern Data Workflows (Apache Airflow, dbt, Dagster)
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  About Us
  <br/>
  <br/>
 </strong>
 Slalom is a fiercely human business and technology consulting company that leads with outcomes to bring more value, in all ways, always. From strategy through delivery, our agile teams across 52 offices in 12 countries collaborate with clients to bring powerful customer experiences, innovative ways of working, and new products and services to life. We are trusted by leaders across the Global 1000, many successful enterprise and mid-market companies, and 500+ public sector organizations to improve operations, drive growth, and create value. At Slalom, we believe that together, we can move faster, dream bigger, and build better tomorrows for all.
 <br/>
 <br/>
 <strong>
  Compensation And Benefits
  <br/>
  <br/>
 </strong>
 Slalom prides itself on helping team members thrive in their work and life. As a result, Slalom is proud to invest in benefits that include meaningful time off and paid holidays, parental leave, 401(k) with a match, a range of choices for highly subsidized health, dental, &amp; vision coverage, adoption and fertility assistance, and short/long-term disability. We also offer yearly $350 reimbursement account for any well-being-related expenses, as well as discounted home, auto, and pet insurance.
 <br/>
 <br/>
 Slalom is committed to fair and equitable compensation practices. For this role, we are hiring at the following levels and targeted base pay salary ranges outlined below. In addition, individuals may be eligible for an annual discretionary bonus. Actual compensation will depend upon an individual&rsquo;s skills, experience, qualifications, location, and other relevant factors. The salary pay range is subject to change and may be modified at any time.
 <br/>
 <br/>
 <ul>
  <li>
   Los Angeles, Orange County, San Diegeo
  </li>
  <ul>
   <li>
    Consultant: $99,000 - $133,000
   </li>
  </ul>
  <li>
   Phoenix
  </li>
  <ul>
   <li>
    Consultant: $91,000 - $122,000
    <br/>
   </li>
  </ul>
 </ul>
 We are committed to pay transparency and compliance with applicable laws. If you have questions or concerns about the pay range or other compensation information in this posting, please contact us at: peopleone@slalom.com.
 <br/>
 <br/>
 <strong>
  EEO and Accommodations
  <br/>
  <br/>
 </strong>
 <em>
  Slalom is an equal opportunity employer and is committed to attracting, developing and retaining highly qualified talent who empower our innovative teams through unique perspectives and experiences. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veterans&rsquo; status, or any other characteristic protected by federal, state, or local laws. Slalom will also consider qualified applications with criminal histories, consistent with legal requirements. Slalom welcomes and encourages applications from individuals with disabilities. Reasonable accommodations are available for candidates during all aspects of the selection process. Please advise the talent acquisition team or contact
 </em>
 <em>
  accomodationrequest@slalom.com
 </em>
 <em>
  if you require accommodations during the interview process.
 </em>
</div>


Data Engineer

Rivian

<div>About Us:
<div>
Rivian is on a mission to keep the world adventurous forever. This goes for the emissions-free Electric Adventure Vehicles we build, and the curious, courageous souls we seek to attract.</div><div></div><div><br>
As a company, we constantly challenge what&rsquo;s possible, never simply accepting what has always been done. We reframe old problems, seek new solutions and operate comfortably in areas that are unknown. Our backgrounds are diverse, but our team shares a love of the outdoors and a desire to protect it for future generations.</div>
Role Summary:
<div>
We are seeking a highly motivated Controls Engineer to join our team, specializing in active safety feature development for autonomous and semi-autonomous vehicles. This candidate will design, implement, and validate safety-critical systems, with a strong emphasis on integrating controls, machine learning, and AI-based algorithms to advance detection, prediction, and decision-making capabilities. Proficient in C++, Python, and related technologies, they bring hands-on experience in ML/AI model development, data analysis, and real-time system optimization. Their collaborative approach and familiarity with automotive safety standards make them well-equipped to drive innovation and reliability in advanced vehicle safety applications within the Controls team.</div>
Responsibilities:
<ul><li>Design, develop, and validate active safety features such as collision avoidance, lane keeping, and emergency braking for autonomous vehicles.</li><li>
Collaborate with cross-functional teams to integrate AI-based algorithms into safety-critical systems, leveraging data-driven approaches to enhance detection, prediction, and decision-making capabilities.</li><li>
Work closely with data engineering and autolabeling teams to ensure high-quality training and validation datasets for ML/AI models.</li><li>
Collaborate with data engineering and autolabeling teams to ensure high-quality, accurately labeled datasets that support the development and validation of ML/AI-driven controls and active safety features, enabling robust reasoning and decision-making capabilities in real-world scenarios.</li><li>
Analyze sensor data and vehicle dynamics to improve the performance of ML/AI models used in active safety applications.</li><li>
Develop and maintain simulation and testing frameworks to ensure robust performance in real-world scenarios.</li><li>
Troubleshoot, debug, and optimize safety features and ML/AI algorithms for reliability and performance across diverse driving environments.</li></ul>
Qualifications:
<ul><li>Bachelor&rsquo;s/Master&rsquo;s/PhD degree in Engineering, Computer Science, Data Science, or a related field.</li><li>
3+ years of direct industry experience as a software engineer in robotics, autonomous vehicles, or other real-time, safety-critical environments.</li><li>
Strong proficiency in modern C++, Python, and experience with ML frameworks, along with experience applying large-scale software engineering best practices.</li><li>
Strong background in machine learning, AI, and robotics, with hands-on experience developing and deploying learning-based algorithms.</li><li>
Experience designing, deploying, and maintaining systems with core AWS services (such as S3, EC2, Lambda), and a solid understanding of cloud-native architecture.</li><li>
Familiarity with autonomous systems development, including perception, planning, or control, or related fields such as robotics, simulation, or verification and validation.</li><li>
Demonstrated ability to systematically debug and identify root causes of issues.</li><li>
Strong analytical and problem-solving skills, with attention to detail</li><li>
Familiarity with automotive safety standards and real-time system development.</li><li>
Excellent problem-solving and communication skills.</li></ul>
Pay Disclosure:
<div>
The salary range for this role is $164,700.00 - $205,900.00 for California based applicants. This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. An employee&rsquo;s position within the salary range will be based on several factors including, but not limited to, specific competencies, relevant education, qualifications, certifications, experience, skills, geographic location, shift, and organizational needs.<br>
<br>
The successful candidate may be eligible for annual performance bonus and equity awards.<br>
<br>
We offer a comprehensive package of benefits for full-time and part-time employees, their spouse or domestic partner, and children up to age 26, including but not limited to paid vacation, paid sick leave, and a competitive portfolio of insurance benefits including life, medical, dental, vision, short-term disability insurance, and long-term disability insurance to eligible employees. You may also have the opportunity to participate in Rivian&rsquo;s 401(k) Plan and Employee Stock Purchase Program if you meet certain eligibility requirements. Full-time employee coverage is effective on their first day of employment. Part-time employee coverage is effective the first of the month following 90 days of employment. More information about benefits is available at rivianbenefits.com.<br>
<br>
You can apply for this role through careers.rivian.com (or through internal-careers-rivian.icims.com if you are a current employee). This job is not expected to be closed any sooner than February 25, 2026.</div>
Company Statements:
<h4 class="jobSectionHeader"><b>Equal Opportunity</b></h4><div>
Rivian is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender, gender expression, gender identity, genetic information or characteristics, physical or mental disability, marital/domestic partner status, age, military/veteran status, medical condition, or any other characteristic protected by law.</div><div></div><div><br>
Rivian is committed to ensuring that our hiring process is accessible for persons with disabilities. If you have a disability or limitation, such as those covered by the Americans with Disabilities Act, that requires accommodations to assist you in the search and application process, please email us at candidateaccommodations@rivian.com.</div><h4 class="jobSectionHeader"><b>
Candidate Data Privacy</b></h4><div>
Rivian may collect, use and disclose your personal information or personal data (within the meaning of the applicable data protection laws) when you apply for employment and/or participate in our recruitment processes (&ldquo;Candidate Personal Data&rdquo;). This data includes contact, demographic, communications, educational, professional, employment, social media/website, network/device, recruiting system usage/interaction, security and preference information. Rivian may use your Candidate Personal Data for the purposes of (i) tracking interactions with our recruiting system; (ii) carrying out, analyzing and improving our application and recruitment process, including assessing you and your application and conducting employment, background and reference checks; (iii) establishing an employment relationship or entering into an employment contract with you; (iv) complying with our legal, regulatory and corporate governance obligations; (v) recordkeeping; (vi) ensuring network and information security and preventing fraud; and (vii) as otherwise required or permitted by applicable law.</div><div></div><div><br>
Rivian may share your Candidate Personal Data with (i) internal personnel who have a need to know such information in order to perform their duties, including individuals on our People Team, Finance, Legal, and the team(s) with the position(s) for which you are applying; (ii) Rivian affiliates; and (iii) Rivian&rsquo;s service providers, including providers of background checks, staffing services, and cloud services.</div><div></div><div><br>
Rivian may transfer or store internationally your Candidate Personal Data, including to or in the United States, Canada, the United Kingdom, and the European Union and in the cloud, and this data may be subject to the laws and accessible to the courts, law enforcement and national security authorities of such jurisdictions.</div><div></div><div><b><br>
Please note that we are currently not accepting applications from third party application services.</b></div></div>

Sr. Controls & Active Safety Engineer, Autonomy

<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: 76908
 <br/>
 <br/>
 <strong>
  Description
  <br/>
  <br/>
 </strong>
 Skyworks is at the forefront of advanced manufacturing processes and data-driven innovation. This is a unique opportunity for an ambitious Full Stack Developer Summer/Fall Co-Op to help shape the future of our digital platforms and machine learning solutions. We are seeking a passionate Co-Op with strong software development skills and an interest in data engineering and AI/ML deployment.
 <br/>
 <br/>
 You will work closely with our Machine Learning and Data Science team to build intuitive user interfaces, robust backend systems, and scalable services for delivering ML and LLM models to end-users. Candidates will benefit from mentorship by seasoned professionals and the opportunity to tackle real-world problems with significant impact.
 <br/>
 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   UI/UX Development: Design and implement responsive, user-friendly web interfaces using React and modern front-end frameworks.
  </li>
  <li>
   Backend Development: Build and maintain APIs and services to support data-driven applications and ML model serving.
  </li>
  <li>
   Data Engineering: Assist in designing and implementing data pipelines for efficient data ingestion, transformation, and storage.
  </li>
  <li>
   Model Deployment: Help integrate and serve ML and LLM models in production environments, ensuring scalability and reliability.
  </li>
  <li>
   Collaboration: Work in a vibrant, cross-functional team environment, contributing ideas and solutions to complex challenges.
  </li>
  <li>
   Documentation &amp; Communication: Maintain clear documentation and communicate technical concepts effectively to both technical and non-technical stakeholders.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Required Experience And Skills
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor's, Master's or PHD student pursuing a degree in Computer Science, Software Engineering, Data Science, or a related field.
  </li>
  <li>
   Proficiency in JavaScript/TypeScript and experience with React for front-end development.
  </li>
  <li>
   Familiarity with backend frameworks (e.g., FastAPI, Node.js, or similar).
  </li>
  <li>
   Basic understanding of data engineering concepts and experience with SQL or NoSQL databases.
  </li>
  <li>
   Exposure to machine learning concepts and interest in model deployment.
  </li>
  <li>
   Strong problem-solving skills and ability to work independently or in a team.
  </li>
  <li>
   Excellent communication and organizational skills.
  </li>
  <li>
   Available June/July to December 2026
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Experience And Skills
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience with cloud platforms (AWS, Azure, or GCP).
  </li>
  <li>
   Knowledge of containerization (Docker) and orchestration (Kubernetes).
  </li>
  <li>
   Familiarity with ML frameworks (PyTorch, TensorFlow) and model serving tools.
  </li>
  <li>
   Understanding of CI/CD pipelines and DevOps practices.
  </li>
  <li>
   Previous experience in full-stack development projects.
   <br/>
   <br/>
  </li>
 </ul>
 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.
 <br/>
 <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.
</div>


Full-Stack Software Developer Summer/Fall Co-Op

Ingram Micro

<div><p><b>Accelerate your career. Join the organization that's driving the world's technology and shape the future.
</b></p><p></p><p>Ingram Micro is a leading technology company for the global information technology ecosystem. With the ability to reach nearly 90% of the global population, we play a vital role in the worldwide IT sales channel, bringing products and services from technology manufacturers and cloud providers to business-to-business technology experts. Our market reach, diverse solutions and services portfolio, and digital platform Ingram Micro Xvantage&trade; set us apart. Learn more at www.ingrammicro.com
</p><p></p><p>Come join our team where you&rsquo;ll make technology happen in surprising ways. Let&rsquo;s shape tomorrow - it&rsquo;ll be a fun journey!
</p><p></p><p>We are seeking an experienced Data Scientist / Senior Consultant to drive the science and strategy behind Ingram Micro&rsquo;s global Search and Recommendation systems. The role partners closely with a diverse team of scientists, engineers, product leaders, and industry experts to build large‑scale models that meaningfully improve discovery, relevance, and commercial outcomes across an enterprise ecosystem.
</p><p></p><p>You will be responsible for the technical strategy, model development, experimentation, and production impact, delivering measurable improvements to the performance of search and recommendation engines worldwide. The role is hands‑on and high‑visible requiring deep technical expertise and the ability to communicate complex concepts to non‑technical audiences.
</p><p></p><p><b>Scope
</b></p><ul><li>Own multi-quarter technical development, vision, and roadmap for search, ranking, personalization, discovery, and recommendation systems.
</li><li>Engage with a globally distributed team of Data Scientists and AI/ML Engineers
</li><li>Be accountable for model quality, experimentation rigor, and production impact
</li><li>Influence platform, tooling, and architecture decisions in partnership with science, engineering, and business leadership
</li></ul><p></p><p><b>Qualifications
</b></p><ul><li>Master&rsquo;s or Ph.D. in a quantitative field (Computer Science, Data Science, AI, Statistics, Applied Math, Engineering, Economics, or similar technical fields)
</li><li>10+ years functional experience including a minimum of 5+ years position specific experience in search, recommendation, information retrieval, or personalization at scale
</li><li>Track record of owning production search or recommendation systems with measurable business impact
</li></ul><p></p><p><b>Hands-On Technical Ownership
</b></p><ul><li>Expertise in developing and leading the deployment of enterprise level Search Algorithms and Recommendation Engines at global scale
</li><li>Develop model design for ranking, relevance, personalization, semantic retrieval
</li><li>Build applications leveraging LLMs, deep learning, transformers, generative AI, semantic search, vector databases, and RAG pipelines
</li><li>Design and interpret A/B tests and quasi‑experiments tied to business metrics
</li><li>Tools/stack experience: Python, SQL, Jupyter, R, Julia, SAS, MATLAB, etc&hellip;
</li><li>Experience with GCP (Big Query, VertexA, Gemini) strongly preferred
</li><li>Experience developing Search/Recommendation Agents is a plus
</li><li>Work with large‑scale behavioral, content, and transactional datasets to solve highly ambiguous problems
</li></ul><p></p><p><b>Organizational &amp; Technical Leadership
</b></p><ul><li>Partner with and mentor mid- and senior -level scientists
</li><li>Set bar for modeling excellence, experimentation discipline, production readiness
</li><li>Promote reusable ML platforms and standardization over one‑off solutions
</li><li>Serve as an executive-facing authority on search and recommendation science
</li></ul><p></p><p><b>Stakeholder &amp; Business Leadership
</b></p><ul><li>Translate ambiguous business problems into scalable AI and ML solutions
</li><li>Communicate technical models, engines, systems to non-technical stakeholders
</li><li>Partner with Product, Engineering, and Business to balance near-term wins vs. long-term platform bets
</li></ul><p></p><p><b>Success Metrics
</b></p><ul><li>Sustained improvements in relevance, engagement, and conversion
</li><li>High-retention, high-performing ML team with strong internal mobility
</li><li>Systems that scale globally with reliability and defensible scientific rigor
</li><li>Measurable impact to financial results and customer experience
</li></ul><p></p><p>#LI-RT1
</p><p></p>The typical base pay range for this role across the U.S. is USD $158,900.00 - $270,100.00 per year.
<p></p><p>The ranges above reflect the potential annual base pay across the U.S. for all roles; the applicable base pay range will depend on the candidate&rsquo;s primary work location, pay grade, and variable compensation plan. Individual base pay within each range depends on various factors, in addition to primary work location, such as complexity and responsibility of role, job duties/requirements, and relevant experience and skills. Base pay ranges are reviewed and typically updated each year. Offers are made within the base pay range applicable at the time of hire. New hires starting base pay generally falls in the bottom half (between the minimum and midpoint) of a pay range.
</p><p></p><p>At Ingram Micro certain roles are eligible for additional rewards, including merit increases, annual bonus or sales incentives and long-term incentives. These awards are allocated based on position level and individual performance. U.S.-based employees have access to healthcare benefits, paid time off, parental leave, a 401(k) plan and company match, short-term and long-term disability coverage, basic life insurance, and wellbeing benefits, among others.
</p><p></p><p>This is not a complete listing of the job duties. It&rsquo;s a representation of the things you will be doing, and you may not perform all these duties.
</p><p></p><p>Please be prepared to pass a drug test and successfully pass a pre-employment (post offer) background check.
</p><p></p><p>Ingram Micro Inc. is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, or any other protected category under applicable law.</p></div>

Sr Principal Data Scientist, Search and Recommendations

Optum

<div><p>Optum Tech is a global leader in health care innovation. Our teams develop cutting-edge solutions that help people live healthier lives and help make the health system work better for everyone. From advanced data analytics and AI to cybersecurity, we use innovative approaches to solve some of health care's most complex challenges. Your contributions here have the potential to change lives. Ready to build the next breakthrough? Join us to start <b>Caring. Connecting. Growing together.</b></p><p><br>
We are seeking a self-motivated and proactive individual to drive the development and implementation of AI-based tools and workflows for agentic systems. In this role, you will leverage foundational models, fine-tuned SLMs, vector databases, APIs, and other advanced technologies to deliver accurate, efficient, and high-quality agentic solutions. You will collaborate closely with research, engineering, and product teams to translate cutting-edge AI advancements into production-ready capabilities. The ideal candidate consistently seeks opportunities to enhance system performance and contribute to organizational objectives, while upholding ethical AI principles by embedding fairness, transparency, and accountability throughout the model development lifecycle.</p><p><br>
You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week.</p><p><b><br>
Primary Responsibilities:</b></p><ul><li>
Design and implement agentic AI systems for conversational search in the medical coding domain</li><li>
Evaluate, debug, and improve AI agent workflows to ensure accuracy and efficiency</li><li>
Monitor and optimize system performance for latency, cost, and reliability</li><li>
Explore and apply reinforcement learning and self-improving techniques</li><li>
Collaborate and communicate effectively with cross-functional teams and stakeholders to deliver scalable solutions</li><li>
Ensure responsible and ethical AI practices throughout all stages of development</li><li>
Stay up-to-date with advances in AI/ML and actively contribute ideas, research, or solutions to improve team and product capabilities</li><li>
Collaborate with research, engineering, and product teams to translate cutting-edge AI advancements into production-ready capabilities. Uphold ethical AI principles by embedding fairness, transparency, and accountability throughout the model development lifecycle.</li></ul><p><br>
You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.</p><p><b>
Required Qualifications:</b></p><ul><li>
Graduate degree in computer Science or similar fields</li><li>
4+ years of hands-on experience in AI/ML, with a solid focus on natural language processing (NLP) and Language Models</li><li>
4+ years of experience with libraries such as Langchain, OpenAI API, Hugging Face Transformers, or similar tools for finetuning and integrating LLMs</li><li>
1+ years of experience with agentic frameworks such as LangGraph, AutoGen, Bedrock, Vertex AI, to design modular and scalable AI agents</li></ul><p><b><br>
Preferred Qualifications:</b></p><ul><li>
Experience deploying agentic systems in production environments, ensuring scalability, reliability, and performance</li><li>
Experience with RL training for language models</li><li>
Proven ability to engage in AI/ML research, evidenced by peer-reviewed publications or technical reports, and by incorporating recent advances in NLP and agentic frameworks into product-led projects</li></ul><div><ul><li><br>
All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy</li></ul></div><p><br>
Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $91,700 to $163,700 annually based on full-time employment. We comply with all minimum wage laws as applicable.</p><p><b><br>
Application Deadline: </b>This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.</p><p><i><br>
At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.</i></p><p></p><p><i><br>
UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.</i></p><p><i><br>
UnitedHealth Group is a drug-free workplace. Candidates are required to pass a drug test before beginning employment.</i></p><p></p><p><br>
#OptumTechPJ</p></div>

Senior AI/ML Engineer - Remote

Realign

<div>Irvine, California 92602 Posted March 2nd, 2026
 <div></div><p>Looking for more job opportunities? Click here!</p></div>
<br><div><p>Job Type: Full Time</p>
<p>Job Category: IT</p>
<p>Job Description</p>
<p></p><div><b>Job Title : IAM with Sailpoint Engineer</b></div><div><b>
Location :- Irvine, CA</b></div><div><b>
Fulltime</b></div><div></div><div><b><br>
Must Have Technical/Functional Skills</b></div><div></div><div><b><br>
Sailpoint IdentityIQ, OKTA</b></div><div><b>
Ability to work with multiple stakeholders and coordinate with Offshore and Onshore teams</b></div><div></div><div><b><br>
Roles &amp; Responsibilities</b></div><ul><li>Work directly with the Client&rsquo;s team on daily and weekly tasks as assigned</li><li>Backlog Management: Work through the existing SailPoint IdentityIQ JIRA backlog to identify and address tasks.</li><li>Code Development &amp; Debugging: Write, debug, and update Java code for existing and new features within SailPoint IdentityIQ.</li><li>Customizations: Modify and update existing custom rules, workflows, and connectors as needed.</li><li>Release Management: Tag and prepare code for release, ensuring seamless integration with the production environment.</li><li>Code Reviews: Participate in regular code reviews with in-house engineers and developers to ensure knowledge transfer and adherence to best practices.</li><li>Collaboration: Work closely with the client's engineers and other developers tenable and optimize SailPoint IdentityIQ features.</li><li>Post-Deployment Bug Fixes: Provide support for bug fixes after deployment, ensuring smooth operations.</li><li>Address backlog issues, code updates, debugging, and enabling features</li><li>Modify existing workflows, connectors, and custom rules within the SailPoint environment.</li></ul><div></div><div><b><br>
o In-Scope Hardware/Software/</b><b>Environments/Sites</b></div><ul><li>SailPoint IdentityIQ</li><li>Java</li><li>Active Directory (AD)</li><li>Okta</li><li>JIRA</li><li>AWS</li><li>Azure</li></ul><p></p>
<p>Required Skills</p>
<p>DEVOPS ENGINEER</p> <p>SENIOR EMAIL SECURITY ENGINEER</p></div>

IAM with Sailpoint Engineer-6

Explore 53+ Machine learning engineer in Irvine this March. Find roles across top companies and apply now to boost your career.