Position Summary... What you'll do... As a company, Walmart primarily generates revenue through advertising, and we're working towards building a massive business to fund our mission. The Display Ads ML team builds services that enable advertisers to efficiently capture and predict user engagement while minimizing their costs. The team leverages machine learning models to incorporate advertisers' goals in auction ranking, allowing them to maximize installs, key conversions, or return on ad spend. As the primary owners of the engagement prediction and bid recommendation systems, the team is responsible for a central part of the ads delivery system that generates bid recommendation considering advertiser objectives and user engagement scores. Given the centrality of this system, the team also regularly conducts highly rigorous and controlled experiments to measure the impact of improvements to these systems. Some of the project highlights include maximizing conversions campaign optimization, which uses real-time data to meet advertisers' key objectives. The Software Engineer III, Machine Learning Engineer will work closely with technical leaders to build new advertiser optimization products that significantly increase the efficiency and ROI for the advertisers. <ul> <li>You will be responsible for your quality and technical approach within the team; partner with other team members in direction setting, planning, and overseeing engineering designs and executions; establish and contribute to the group's culture and processes. </li><li>You will collaborate with cross-functional engineering, product, and marketing teams to ensure that our customers' voices are represented in your work. You will help design, conduct, and analyze experiments to quantify the impact of the systems that you build. </li> <li>We are seeking an engineer to join a team building state-of-the-art bidding optimization and user prediction systems. As a member of this team, you will help us uplevel the capabilities of Walmart Display Ads platform through innovative optimization products that enhance advertiser value. </li></ul>About Team: Our team works closely with our US stores and eCommerce business to better serve customers by empowering team members, stores, and merchants with technological innovation. From groceries and entertainment to sporting goods and crafts, Walmart U.S. offers an extensive selection that our customers value, whether they shop online at Walmart.com, through one of our mobile apps, or in-store. Focus areas include customers, stores and employees, in-store service, merchant tools, merchant data science, and search and personalization. What you'll do: <ul> <li>Execute a roadmap for engagement and bid recommendation modeling, balancing innovative modeling approaches with business objectives. Build Walmart-scale optimizations to improve advertiser outcomes using cutting-edge techniques in the industry. </li><li>Support the Model development lifecycle from ideation to deployment, ensuring high standards of ML performance and robustness. </li><li>Collaborate Cross-Functionally: Partner with PMs, data scientists, and other engineering teams to align on engagement strategies, data requirements, and model KPIs. </li><li>Innovate in ML Architecture: Implement and optimize model architectures tailored to engagement prediction, leveraging deep learning and advanced ML techniques. Think out-of-the box! </li></ul>What you'll bring: <ul> <li>2+ years of contributing high-quality code to production systems that operate at scale. </li> <li>Participate the design, development and implementation of complex machine learning solutions/algorithms that drive business results leveraging Python, Nodejs, LLM, NLP Models, Chat GPT or similar platforms, scikit-learn, TensorFlow/Pytorch, Cassandra, BQ, Redis </li><li>Solve complex problems with multilayered data sets, multi batch inferencing. Upholding ML engineering best practices - enforcing high standard for quality, reliability, and security in deployed machine learning solutions. </li><li>Stay up to date with the latest AI/ML technologies and trend - acting as a thought leader for ML Engineering within the organization and in the broader technical community. </li><li>Experience designing optimization algorithms in an ad serving platform and/or other marketplaces is preferred. </li></ul> At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more. You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable. For information about PTO, see https://one.walmart.com/notices . Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms. For information about benefits and eligibility, see One.Walmart . The annual salary range for this position is $117,000.00-$234,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include: - Stock Minimum Qualifications... Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications. Option 1: Bachelor's degree in computer science, computer engineering, computer information systems, software engineering, or related area and 2 years' experience in software engineering or related area.Option 2: 4 years' experience in software engineering or related area. Preferred Qualifications... Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications. Customer Service, We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart's accessibility standards and guidelines for supporting an inclusive culture. Masters: Computer Science Primary Location... 680 West California Avenue, Sunnyvale, CA 94086-4834, United States of America

Base Pay Range: $124,100.00 - $211,000.00 Annually Primary Location: USA-CA-Milpitas-KLAKLA’s total rewards package for employees may also include participation in performance incentive programs and eligibility for additional benefits identified below. Interns are eligible for some of the benefits identified below. Our pay ranges are determined by role, level, and location. The range displayed above reflects the minimum and maximum pay for this position in the primary location identified in this posting. Actual pay depends on several factors, including location, job-related skills, experience, and relevant education level or training. If applicable, your recruiter can share more about the specific pay range for your preferred location during the hiring process.Company Overview KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world’s leading technology providers to accelerate the delivery of tomorrow’s electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us.Group/Division With over 40 years of semiconductor process control experience, chipmakers around the globe rely on KLA to ensure that their fabs ramp next-generation devices to volume production quickly and cost-effectively. Enabling the movement towards advanced chip design, KLA's Global Products Group (GPG), which is responsible for creating all of KLA’s metrology and inspection products, is looking for the best and the brightest research scientist, software engineers, application development engineers, and senior product technology process engineers. First to deliver the best imaging and classification data for every defect or point on any layer at any time. EBeam’s mission encapsulates its role as the “eyes” of KLA’s product line, providing timely information on defects and critical locations on the wafer at the highest spatial resolution possible. Customers use EBeam products alongside KLA patterned and bare wafer inspectors to quickly understand the nature of defects and other imperfections on product wafers and take action to correct the manufacturing process.Job Description/Preferred Qualifications KLA is seeking applications for an Algorithm engineer in EBEAM division for developing next generation technologies in yield management for Semi-Conductor industry. This position involves developing advanced Image Processing and Machine Vision algorithms for the wafer Inspection, Review and Metrology products. We are one of the pioneering companies in the Semi-Conductor industry to use Deep Learning algorithms for defect detection and classification . In addition, we are actively exploring using Generative/Diffusion models for SEM image simulation and image quality enhancement . <ul><li>This position involves developing advanced image processing algorithms for the wafer inspection and review. </li><li>Designs and develops cutting edge image processing and machine learning algorithms. </li><li>Collaborate with Application Engineers and Customers to design, develop and productize solutions at customer sites. </li><li>Support the adoption of eBeam solutions at customer sites. </li><li>Implement system level solutions to push the limits of sensitivity on semiconductor inspection & review systems. </li> </ul>Qualifications <ul><li>Ph.D. , Masters with 3-6 years’ experience, or bachelor’s with 5-8 years’ experience. (Candidates from EE, CS and Mathematics background would be preferred) </li><li>The ideal candidate will have an in-depth knowledge ofComputer Vision and Traditional Image Processing Techniques. </li><li>Knowledge of Deep Learning with working experience in Tensor Flow, PyTorch etc. </li><li>Working experience in one or more of the following DL techniques: GANs, Diffusion Models, Semantic Segmentation with focus on Image Restoration tasks. </li><li>Ability to formulate problems into mathematical equations. </li><li>Proficiency in computational methods, C++, and object-oriented design. </li><li>Team player with good written and verbal communication skills. </li> </ul>Minimum Qualifications Doctorate (Academic) Degree and 0 years related work experience; Master's Level Degree and related work experience of 3 years; Bachelor's Level Degree and related work experience of 5 yearsThe company offers a total rewards package that is competitive and comprehensive including but not limited to the following: medical, dental, vision, life, and other voluntary benefits, 401(K) including company matching, employee stock purchase program (ESPP), student debt assistance, tuition reimbursement program, development and career growth opportunities and programs, financial planning benefits, wellness benefits including an employee assistance program (EAP), paid time off and paid company holidays, and family care and bonding leave. KLA is proud to be an Equal Opportunity Employer. We do not discriminate on the basis of race, religion, color, national origin, sex, gender identity, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other status protected by applicable law. We will ensure that qualified individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us at <a > </a> or at +1-408-352-2808 to request accommodation. #J-18808-Ljbffr

Base Pay Range: $124,100.00 - $211,000.00 AnnuallyPrimary Location: USA-CA-Milpitas-KLAKLA’s total rewards package for employees may also include participation in performance incentive programs and eligibility for additional benefits identified below. Interns are eligible for some of the benefits identified below. Our pay ranges are determined by role, level, and location. The range displayed above reflects the minimum and maximum pay for this position in the primary location identified in this posting. Actual pay depends on several factors, including location, job-related skills, experience, and relevant education level or training. If applicable, your recruiter can share more about the specific pay range for your preferred location during the hiring process.Company OverviewKLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world’s leading technology providers to accelerate the delivery of tomorrow’s electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us.Group/DivisionWith over 40 years of semiconductor process control experience, chipmakers around the globe rely on KLA to ensure that their fabs ramp next-generation devices to volume production quickly and cost-effectively. Enabling the movement towards advanced chip design, KLA's Global Products Group (GPG), which is responsible for creating all of KLA’s metrology and inspection products, is looking for the best and the brightest research scientist, software engineers, application development engineers, and senior product technology process engineers. First to deliver the best imaging and classification data for every defect or point on any layer at any time. EBeam’s mission encapsulates its role as the “eyes” of KLA’s product line, providing timely information on defects and critical locations on the wafer at the highest spatial resolution possible. Customers use EBeam products alongside KLA patterned and bare wafer inspectors to quickly understand the nature of defects and other imperfections on product wafers and take action to correct the manufacturing process.Job Description/Preferred QualificationsKLA is seeking applications for an Algorithm engineer in EBEAM division for developing next generation technologies in yield management for Semi-Conductor industry.This position involves developing advanced Image Processing and Machine Vision algorithms for the wafer Inspection, Review and Metrology products.We are one of the pioneering companies in the Semi-Conductor industry to use Deep Learning algorithms for defect detection and classification. In addition, we are actively exploring using Generative/Diffusion models for SEM image simulation and image quality enhancement.<ul><li>This position involves developing advanced image processing algorithms for the wafer inspection and review.</li><li>Designs and develops cutting edge image processing and machine learning algorithms.</li><li>Collaborate with Application Engineers and Customers to design, develop and productize solutions at customer sites.</li><li>Support the adoption of eBeam solutions at customer sites.</li><li>Implement system level solutions to push the limits of sensitivity on semiconductor inspection & review systems.</li></ul>Qualifications<ul><li>Ph.D. , Masters with 3-6 years’ experience, or bachelor’s with 5-8 years’ experience. (Candidates from EE, CS and Mathematics background would be preferred)</li><li>The ideal candidate will have an in-depth knowledge ofComputer Vision and Traditional Image ProcessingTechniques.</li><li>Knowledge of Deep Learning with working experience in Tensor Flow, PyTorch etc.</li><li>Working experience in one or more of the following DL techniques: GANs, Diffusion Models, Semantic Segmentation with focus on Image Restoration tasks.</li><li>Ability to formulate problems into mathematical equations.</li><li>Proficiency in computational methods, C++, and object-oriented design.</li><li>Team player with good written and verbal communication skills.</li></ul>Minimum QualificationsDoctorate (Academic) Degree and 0 years related work experience; Master's Level Degree and related work experience of 3 years; Bachelor's Level Degree and related work experience of 5 yearsThe company offers a total rewards package that is competitive and comprehensive including but not limited to the following: medical, dental, vision, life, and other voluntary benefits, 401(K) including company matching, employee stock purchase program (ESPP), student debt assistance, tuition reimbursement program, development and career growth opportunities and programs, financial planning benefits, wellness benefits including an employee assistance program (EAP), paid time off and paid company holidays, and family care and bonding leave.KLA is proud to be an Equal Opportunity Employer. We do not discriminate on the basis of race, religion, color, national origin, sex, gender identity, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other status protected by applicable law. We will ensure that qualified individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us at <a href="#">talent.acquisition@kla.com</a> or at +1-408-352-2808 to request accommodation.
#J-18808-Ljbffr

About Inhabitr
Inhabitr is a fast-growing furniture tech company revolutionizing the industry. We offer a unique platform where customers can buy or rent furniture, catering to professionals, students, realtors, and homeowners. Our innovative approach combines technology with furniture solutions to provide unparalleled flexibility and convenience.
Position Overview
We are seeking a talented Machine Learning Engineer to join our Data Science and Engineering team. This role offers an exciting opportunity to apply your skills in machine learning, computer vision, and MLOps to drive innovation in the furniture tech industry. The ideal candidate will have a strong foundation in deep learning frameworks and cloud technologies, with a passion for developing and deploying AI-driven solutions.
Key Responsibilities:
<ol>
<li>Develop and implement machine learning models, with a focus on computer vision applications.</li>
<li>Design and maintain scalable data pipelines using cloud technologies (AWS, GCP).</li>
<li>Contribute to the end-to-end machine learning lifecycle, from data preparation to model deployment.</li>
<li>Collaborate with cross-functional teams to integrate AI solutions into our products.</li>
<li>Optimize ML models for performance and scalability.</li>
<li>Implement MLOps best practices to ensure efficient model deployment and monitoring.</li>
</ol>
Technical Skills Required:
<ol>
<li>Strong proficiency in Python, with expertise in deep learning frameworks (PyTorch, Keras, TensorFlow).</li>
<li>Experience with computer vision libraries and techniques.</li>
<li>Familiarity with cloud platforms (AWS, GCP) and big data technologies (Spark).</li>
<li>Proficiency in data manipulation and analysis using pandas, numpy, and scikit-learn.</li>
<li>Experience with data visualization tools (plotly express, seaborn, matplotlib).</li>
<li>Knowledge of SQL for data querying and manipulation.</li>
<li>Familiarity with version control (Git) and containerization (Docker).</li>
<li>Understanding of MLOps principles and practices.</li>
</ol>
Additional Desirable Skills:
<ol>
<li>Experience with 3D data processing (open3D).</li>
<li>Familiarity with MATLAB.</li>
<li>Knowledge of advanced visualization techniques (manim).</li>
</ol>
Qualifications:
<ol>
<li>Bachelor’s or Master’s degree in Computer Science, Data Science, or related field.</li>
<li>3-5 years of experience in machine learning or software engineering roles.</li>
<li>Demonstrated experience with deep learning and computer vision projects.</li>
<li>Relevant certifications (e.g., Deep Learning Specialization, MLOps Specialization) are a plus.</li>
</ol>
Personal Attributes:
<ol>
<li>Strong problem-solving skills and attention to detail.</li>
<li>Excellent communication skills and ability to work in a collaborative team environment.</li>
<li>Eagerness to learn and adapt to new technologies.</li>
<li>Passion for applying AI to real-world problems.</li>
</ol>
What Inhabitr Offers:
<ol>
<li>A dynamic and collaborative work environment.</li>
<li>Opportunities for professional growth and skill development.</li>
<li>Competitive salary and benefits package.</li>
<li>Chance to make a significant impact in a rapidly growing tech company.</li>
</ol>
Join us in shaping the future of the furniture industry through innovative data solutions!
#J-18808-Ljbffr

Base Pay Range: $124,100.00 - $211,000.00 Annually
Primary Location: USA-CA-Milpitas-KLA KLA's total rewards package for employees may also include participation in performance incentive programs and eligibility for additional benefits identified below. Interns are eligible for some of the benefits identified below. Our pay ranges are determined by role, level, and location. The range displayed above reflects the minimum and maximum pay for this position in the primary location identified in this posting. Actual pay depends on several factors, including location, job-related skills, experience, and relevant education level or training. If applicable, your recruiter can share more about the specific pay range for your preferred location during the hiring process. Company Overview
KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world's leading technology providers to accelerate the delivery of tomorrow's electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us. Group/Division
With over 40 years of semiconductor process control experience, chipmakers around the globe rely on KLA to ensure that their fabs ramp next-generation devices to volume production quickly and cost-effectively. Enabling the movement towards advanced chip design, KLA's Global Products Group (GPG), which is responsible for creating all of KLA's metrology and inspection products, is looking for the best and the brightest research scientist, software engineers, application development engineers, and senior product technology process engineers. First to deliver the best imaging and classification data for every defect or point on any layer at any time. EBeam's mission encapsulates its role as the "eyes" of KLA's product line, providing timely information on defects and critical locations on the wafer at the highest spatial resolution possible. Customers use EBeam products alongside KLA patterned and bare wafer inspectors to quickly understand the nature of defects and other imperfections on product wafers and take action to correct the manufacturing process. Job Description/Preferred Qualifications
KLA is seeking applications for an Algorithm engineer in EBEAM division for developing next generation technologies in yield management for Semi-Conductor industry.
This position involves developing advanced Image Processing and Machine Vision algorithms for the wafer Inspection, Review and Metrology products.
We are one of the pioneering companies in the Semi-Conductor industry to use Deep Learning algorithms for defect detection and classification . In addition, we are actively exploring using Generative/Diffusion models for SEM image simulation and image quality enhancement .
This position involves developing advanced image processing algorithms for the wafer inspection and review.
Designs and develops cutting edge image processing and machine learning algorithms.
Collaborate with Application Engineers and Customers to design, develop and productize solutions at customer sites.
Support the adoption of eBeam solutions at customer sites.
Implement system level solutions to push the limits of sensitivity on semiconductor inspection & review systems.
Qualifications
Ph.D. , Masters with 3-6 years' experience, or bachelor's with 5-8 years' experience. (Candidates from EE, CS and Mathematics background would be preferred)
The ideal candidate will have an in-depth knowledge of Computer Vision and Traditional Image Processing Techniques.
Knowledge of Deep Learning with working experience in Tensor Flow, PyTorch etc.
Working experience in one or more of the following DL techniques: GANs, Diffusion Models, Semantic Segmentation with focus on Image Restoration tasks.
Ability to formulate problems into mathematical equations.
Proficiency in computational methods, C++, and object-oriented design.
Team player with good written and verbal communication skills.
Minimum Qualifications
Doctorate (Academic) Degree and 0 years related work experience; Master's Level Degree and related work experience of 3 years; Bachelor's Level Degree and related work experience of 5 years The company offers a total rewards package that is competitive and comprehensive including but not limited to the following: medical, dental, vision, life, and other voluntary benefits, 401(K) including company matching, employee stock purchase program (ESPP), student debt assistance, tuition reimbursement program, development and career growth opportunities and programs, financial planning benefits, wellness benefits including an employee assistance program (EAP), paid time off and paid company holidays, and family care and bonding leave.
KLA is proud to be an Equal Opportunity Employer. We do not discriminate on the basis of race, religion, color, national origin, sex, gender identity, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other status protected by applicable law. We will ensure that qualified individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us at talent.acquisition@kla.com or at +1-408-352-2808 to request accommodation.

Base Pay Range: $124,100.00 - $211,000.00 Annually
Primary Location: USA-CA-Milpitas-KLA KLA's total rewards package for employees may also include participation in performance incentive programs and eligibility for additional benefits identified below. Interns are eligible for some of the benefits identified below. Our pay ranges are determined by role, level, and location. The range displayed above reflects the minimum and maximum pay for this position in the primary location identified in this posting. Actual pay depends on several factors, including location, job-related skills, experience, and relevant education level or training. If applicable, your recruiter can share more about the specific pay range for your preferred location during the hiring process.   Company Overview
KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world's leading technology providers to accelerate the delivery of tomorrow's electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us.   Group/Division
With over 40 years of semiconductor process control experience, chipmakers around the globe rely on KLA to ensure that their fabs ramp next-generation devices to volume production quickly and cost-effectively. Enabling the movement towards advanced chip design, KLA's Global Products Group (GPG), which is responsible for creating all of KLA's metrology and inspection products, is looking for the best and the brightest research scientist, software engineers, application development engineers, and senior product technology process engineers. First to deliver the best imaging and classification data for every defect or point on any layer at any time. EBeam's mission encapsulates its role as the "eyes" of KLA's product line, providing timely information on defects and critical locations on the wafer at the highest spatial resolution possible. Customers use EBeam products alongside KLA patterned and bare wafer inspectors to quickly understand the nature of defects and other imperfections on product wafers and take action to correct the manufacturing process.   Job Description/Preferred Qualifications
KLA is seeking applications for an Algorithm engineer in EBEAM division for developing next generation technologies in yield management for Semi-Conductor industry.
This position involves developing advanced  Image Processing  and  Machine Vision  algorithms for the wafer Inspection, Review and Metrology products.
We are one of the pioneering companies in the Semi-Conductor industry to use  Deep Learning algorithms for defect detection and classification . In addition, we are actively exploring using  Generative/Diffusion models for SEM image simulation and image quality enhancement .
This position involves developing advanced image processing algorithms for the wafer inspection and review.
Designs and develops cutting edge image processing and machine learning algorithms.
Collaborate with Application Engineers and Customers to design, develop and productize solutions at customer sites.
Support the adoption of eBeam solutions at customer sites.
Implement system level solutions to push the limits of sensitivity on semiconductor inspection & review systems.
Qualifications
Ph.D. , Masters with 3-6 years' experience, or bachelor's with 5-8 years' experience. (Candidates from EE, CS and Mathematics background would be preferred)
The ideal candidate will have an in-depth knowledge of Computer Vision and Traditional Image Processing Techniques.
Knowledge of  Deep Learning  with working experience in Tensor Flow, PyTorch etc.
Working experience in one or more of the following DL techniques: GANs, Diffusion Models, Semantic Segmentation with focus on Image Restoration tasks.
Ability to formulate problems into mathematical equations.
Proficiency in computational methods, C++, and object-oriented design.
Team player with good written and verbal communication skills.
Minimum Qualifications
Doctorate (Academic) Degree and 0 years related work experience; Master's Level Degree and related work experience of 3 years; Bachelor's Level Degree and related work experience of 5 years  The company offers a total rewards package that is competitive and comprehensive including but not limited to the following: medical, dental, vision, life, and other voluntary benefits, 401(K) including company matching, employee stock purchase program (ESPP), student debt assistance, tuition reimbursement program, development and career growth opportunities and programs, financial planning benefits, wellness benefits including an employee assistance program (EAP), paid time off and paid company holidays, and family care and bonding leave.
KLA is proud to be an Equal Opportunity Employer. We do not discriminate on the basis of race, religion, color, national origin, sex, gender identity, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other status protected by applicable law. We will ensure that qualified individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us at talent.acquisition@kla.com or at +1-408-352-2808 to request accommodation.

Base Pay Range: $124,100.00 - $211,000.00 Annually Primary Location: USA-CA-Milpitas-KLA KLA's total rewards package for employees may also include participation in performance incentive programs and eligibility for additional benefits identified below. Interns are eligible for some of the benefits identified below. Our pay ranges are determined by role, level, and location. The range displayed above reflects the minimum and maximum pay for this position in the primary location identified in this posting. Actual pay depends on several factors, including location, job-related skills, experience, and relevant education level or training. If applicable, your recruiter can share more about the specific pay range for your preferred location during the hiring process. Company Overview KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world's leading technology providers to accelerate the delivery of tomorrow's electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us. Group/Division With over 40 years of semiconductor process control experience, chipmakers around the globe rely on KLA to ensure that their fabs ramp next-generation devices to volume production quickly and cost-effectively. Enabling the movement towards advanced chip design, KLA's Global Products Group (GPG), which is responsible for creating all of KLA's metrology and inspection products, is looking for the best and the brightest research scientist, software engineers, application development engineers, and senior product technology process engineers. First to deliver the best imaging and classification data for every defect or point on any layer at any time. EBeam's mission encapsulates its role as the "eyes" of KLA's product line, providing timely information on defects and critical locations on the wafer at the highest spatial resolution possible. Customers use EBeam products alongside KLA patterned and bare wafer inspectors to quickly understand the nature of defects and other imperfections on product wafers and take action to correct the manufacturing process. Job Description/Preferred Qualifications KLA is seeking applications for an Algorithm engineer in EBEAM division for developing next generation technologies in yield management for Semi-Conductor industry. This position involves developing advanced Image Processing and Machine Vision algorithms for the wafer Inspection, Review and Metrology products. We are one of the pioneering companies in the Semi-Conductor industry to use Deep Learning algorithms for defect detection and classification. In addition, we are actively exploring using Generative/Diffusion models for SEM image simulation and image quality enhancement. <ul> <li>This position involves developing advanced image processing algorithms for the wafer inspection and review. </li><li>Designs and develops cutting edge image processing and machine learning algorithms. </li><li>Collaborate with Application Engineers and Customers to design, develop and productize solutions at customer sites. </li><li>Support the adoption of eBeam solutions at customer sites. </li><li>Implement system level solutions to push the limits of sensitivity on semiconductor inspection & review systems. </li></ul> Qualifications <ul> <li>Ph.D. , Masters with 3-6 years' experience, or bachelor's with 5-8 years' experience. (Candidates from EE, CS and Mathematics background would be preferred) </li><li>The ideal candidate will have an in-depth knowledge ofComputer Vision and Traditional Image ProcessingTechniques. </li><li>Knowledge of Deep Learning with working experience in Tensor Flow, PyTorch etc. </li><li>Working experience in one or more of the following DL techniques: GANs, Diffusion Models, Semantic Segmentation with focus on Image Restoration tasks. </li><li>Ability to formulate problems into mathematical equations. </li><li>Proficiency in computational methods, C++, and object-oriented design. </li><li>Team player with good written and verbal communication skills. </li></ul> Minimum Qualifications Doctorate (Academic) Degree and 0 years related work experience; Master's Level Degree and related work experience of 3 years; Bachelor's Level Degree and related work experience of 5 years The company offers a total rewards package that is competitive and comprehensive including but not limited to the following: medical, dental, vision, life, and other voluntary benefits, 401(K) including company matching, employee stock purchase program (ESPP), student debt assistance, tuition reimbursement program, development and career growth opportunities and programs, financial planning benefits, wellness benefits including an employee assistance program (EAP), paid time off and paid company holidays, and family care and bonding leave. KLA is proud to be an Equal Opportunity Employer. We do not discriminate on the basis of race, religion, color, national origin, sex, gender identity, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other status protected by applicable law. We will ensure that qualified individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us at talent.acquisition@kla.com or at +1-408-352-2808 to request accommodation.

About Inhabitr

Inhabitr is a fast-growing furniture tech company revolutionizing the industry. We offer a unique platform where customers can buy or rent furniture, catering to professionals, students, realtors, and homeowners. Our innovative approach combines technology with furniture solutions to provide unparalleled flexibility and convenience.

Position Overview

We are seeking a talented Machine Learning Engineer to join our Data Science and Engineering team. This role offers an exciting opportunity to apply your skills in machine learning, computer vision, and MLOps to drive innovation in the furniture tech industry. The ideal candidate will have a strong foundation in deep learning frameworks and cloud technologies, with a passion for developing and deploying AI-driven solutions.

Key Responsibilities:

Develop and implement machine learning models, with a focus on computer vision applications.

Design and maintain scalable data pipelines using cloud technologies (AWS, GCP).

Contribute to the end-to-end machine learning lifecycle, from data preparation to model deployment.

Collaborate with cross-functional teams to integrate AI solutions into our products.

Optimize ML models for performance and scalability.

Implement MLOps best practices to ensure efficient model deployment and monitoring.

Technical Skills Required:

Strong proficiency in Python, with expertise in deep learning frameworks (PyTorch, Keras, TensorFlow).

Experience with computer vision libraries and techniques.

Familiarity with cloud platforms (AWS, GCP) and big data technologies (Spark).

Proficiency in data manipulation and analysis using pandas, numpy, and scikit-learn.

Experience with data visualization tools (plotly express, seaborn, matplotlib).

Knowledge of SQL for data querying and manipulation.

Familiarity with version control (Git) and containerization (Docker).

Understanding of MLOps principles and practices.

Additional Desirable Skills:

Experience with 3D data processing (open3D).

Familiarity with MATLAB.

Knowledge of advanced visualization techniques (manim).

Qualifications:

Bachelor’s or Master’s degree in Computer Science, Data Science, or related field.

3-5 years of experience in machine learning or software engineering roles.

Demonstrated experience with deep learning and computer vision projects.

Relevant certifications (e.g., Deep Learning Specialization, MLOps Specialization) are a plus.

Personal Attributes:

Strong problem-solving skills and attention to detail.

Excellent communication skills and ability to work in a collaborative team environment.

Eagerness to learn and adapt to new technologies.

Passion for applying AI to real-world problems.

What Inhabitr Offers:

A dynamic and collaborative work environment.

Opportunities for professional growth and skill development.

Competitive salary and benefits package.

Chance to make a significant impact in a rapidly growing tech company.

Join us in shaping the future of the furniture industry through innovative data solutions!

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