Collaborative Filtering Algorithm In Machine Learning Jobs Hiring Now Jobs in Usa

Overview

Georgia Tech is a top-ranked public research university situated in the heart of Atlanta, a diverse and vibrant city with numerous economic and cultural strengths. The Institute serves more than 45,000 students through top-ranked undergraduate, graduate, and executive programs in engineering, computing, science, business, design, and liberal arts. Georgia Tech's faculty attracted more than $1.4 billion in research awards this past year in fields ranging from biomedical technology to artificial intelligence, energy, sustainability, semiconductors, neuroscience, and national security. Georgia Tech ranks among the nation's top 20 universities for research and development spending and No. 1 among institutions without a medical school.

Georgia Tech's Mission and Values

Georgia Tech's mission is to develop leaders who advance technology and improve the human condition. The Institute has nine key values that are foundational to everything we do:

1. Students are our top priority.
2. We strive for excellence.
3. We thrive on diversity.
4. We celebrate collaboration.
5. We champion innovation.
6. We safeguard freedom of inquiry and expression.
7. We nurture the wellbeing of our community.
8. We act ethically.
9. We are responsible stewards.

Over the next decade, Georgia Tech will become an example of inclusive innovation, a leading technological research university of unmatched scale, relentlessly committed to serving the public good; breaking new ground in addressing the biggest local, national, and global challenges and opportunities of our time; making technology broadly accessible; and developing exceptional, principled leaders from all backgrounds ready to produce novel ideas and create solutions with real human impact.

About the School of Mathematics at the Georgia Institute of Technology

The School of Mathematics instruct students from across campus, including undergraduate and graduate students. Its faculty carry out research in a wide variety of Mathematical Sciences. They are key players in several cross-disciplinary institutes, centers, and programs at Georgia Tech, including PhD programs in Algorithms, Combinatorics, and Optimization (ACO), Computational Science and Engineering (CSE), Bioinformatics, Quantitative Bioscience (QBioS), and Machine Learning ( ).

Atlanta, GA

The School of Mathematics at the Georgia Institute of Technology invites applications for several
non-tenure track Hale Assistant Professorships to begin in Fall 2026, though pending administrative approval- an appointment may begin sooner as well. The position consists of an annually renewable three-year research and teaching appointment as a Visiting Assistant Professor in the School. In addition to a reduced teaching load in the first year, the position includes research funding. Candidates are expected to demonstrate an exceptional commitment to the teaching and mentoring of students.

Georgia Tech prides itself on its technological resources, collaborations, high-quality student body, and its commitment to building an outstanding and diverse community of learning, discovery, and creation. We strongly encourage applicants whose values align with our institutional values, as outlined in our Strategic Plan. These values include academic excellence, diversity of thought and experience, inquiry and innovation, collaboration and community, and ethical behavior and stewardship.

Responsibilities include developing an international level research program; collaborating across the university in research and grant efforts; teaching undergraduate and/or graduate courses.

A PhD or its equivalent in the Mathematical Sciences, granted not more than 5 years prior the start of the appointment. An earned doctorate is required by the start of the appointment.

(1) potential to carry out research of exceptional quality at Georgia Tech; (2) research interests complementary to existing strengths in the School of Mathematics; (3) strong potential for external funding; (4) the ability in teaching, scholarship, and/or service that contributes to the Institute's Student Success Criteria. Consistent with these priorities, candidates will be considered in all areas of Pure and Applied Mathematics and Statistics.

Applications must consist of i) a cover letter expressing interest in the position, ii) curriculum vitae, including a list of publications, iii) a research statement including a summary of future research plans, iv) evidence of teaching interest, abilities, and related experience summarized in a teaching statement, and v) a list of at least four letters of reference, including a teaching letter of reference. Successful applicants will be expected to interact with one or more current Georgia Tech faculty members and those with whom an applicant might work should be named in the cover letter. Applications will be considered beginning November 1, 2025, but the search will continue until the positions are filled

For additional information about this job opening, please contact

The University System of Georgia is comprised of our 26 institutions of higher education and learning as well as the System Office. Our USG Statement of Core Values are Integrity, Excellence, Accountability, and Respect. These values serve as the foundation for all that we do as an organization, and each USG community member is responsible for demonstrating and upholding these standards. More details on the USG Statement of Core Values and Code of Conduct are available in USG Board Policy 8.2.18.1.2 and can be found on-line at policymanual/section8/C224/#p8.2.18_personnel_conduct.

Additionally, USG supports Freedom of Expression as stated in Board Policy 6.5 Freedom of Expression and Academic Freedom found on-line at policymanual/section6/C2653.

The Georgia Institute of Technology (Georgia Tech) is an Equal Employment Opportunity Employer. The Institute is committed to maintaining a fair and respectful environment for all. To that end, and in accordance with federal and state law, Board of Regents policy, and Institute policy, Georgia Tech provides equal opportunity to all faculty, staff, students, and all other members of the Georgia Tech community, including applicants for admission and/or employment, contractors, volunteers, and participants in institutional programs, activities, or services. Georgia Tech complies with all applicable laws and regulations governing equal opportunity in the workplace and in educational activities.

Equal opportunity and decisions based on merit are fundamental values of the University System of Georgia (USG) and Georgia Tech. Georgia Tech prohibits discrimination, including discriminatory harassment, on the basis of an individuals race, ethnicity, ancestry, color, religion, sex (including pregnancy), national origin, age, disability, genetics, or veteran status in its programs, activities, employment, and admissions. Further, Georgia Tech prohibits citizenship status, immigration status, and national origin discrimination in hiring, firing, and recruitment, except where such restrictions are required in order to comply with law, regulation, executive order, or Attorney General directive, or where they are required by Federal, State, or local government contract.

This is not a supervisory position.
This position does not have any financial responsibilities.
This position will not be required to drive.
This role is not considered a position of trust.
This position does not require a purchasing card (P-Card).
This position will not travel
This position does not require security clearance.

The candidate of choice will be required to pass a preemployment background screening. employment/pre-employment-screening.

Georgia Tech is a top-ranked public research university situated in the heart of Atlanta, a diverse and vibrant city with numerous economic and cultural strengths. The Institute serves more than 45,000 students through top-ranked undergraduate, graduate, and executive programs in engineering, computing, science, business, design, and liberal arts. Georgia Tech's faculty attracted more than $1.4 billion in research awards this past year in fields ranging from biomedical technology to artificial intelligence, energy, sustainability, semiconductors, neuroscience, and national security. Georgia Tech ranks among the nation's top 20 universities for research and development spending and No. 1 among institutions without a medical school.

Georgia Tech's Mission and Values

Georgia Tech's mission is to develop leaders who advance technology and improve the human condition. The Institute has nine key values that are foundational to everything we do:

1. Students are our top priority.
2. We strive for excellence.
3. We thrive on diversity.
4. We celebrate collaboration.
5. We champion innovation.
6. We safeguard freedom of inquiry and expression.
7. We nurture the wellbeing of our community.
8. We act ethically.
9. We are responsible stewards.

Over the next decade, Georgia Tech will become an example of inclusive innovation, a leading technological research university of unmatched scale, relentlessly committed to serving the public good; breaking new ground in addressing the biggest local, national, and global challenges and opportunities of our time; making technology broadly accessible; and developing exceptional, principled leaders from all backgrounds ready to produce novel ideas and create solutions with real human impact.

About the School of Mathematics at the Georgia Institute of Technology

The School of Mathematics instruct students from across campus, including undergraduate and graduate students. Its faculty carry out research in a wide variety of Mathematical Sciences. They are key players in several cross-disciplinary institutes, centers, and programs at Georgia Tech, including PhD programs in Algorithms, Combinatorics, and Optimization (ACO), Computational Science and Engineering (CSE), Bioinformatics, Quantitative Bioscience (QBioS), and Machine Learning ( ).

Atlanta, GA

The School of Mathematics at the Georgia Institute of Technology invites applications for several postdoctoral research positions in the Mathematical Sciences for Fall 2026, though pending administrative approval- an appointment may begin sooner as well. The position consists of an annually renewable three-year research and teaching appointment as a Visiting Assistant Professor in the School and the position includes research funding. Candidates are expected to demonstrate an exceptional commitment to the teaching and mentoring of students.

Georgia Tech prides itself on its technological resources, collaborations, high-quality student body, and its commitment to building an outstanding and diverse community of learning, discovery, and creation. We strongly encourage applicants whose values align with our institutional values, as outlined in our Strategic Plan. These values include academic excellence, thought and experience, inquiry and innovation, collaboration and community, and ethical behavior and stewardship.

Responsibilities include developing an international level research program; collaborating across the university in research and grant efforts; teaching undergraduate and/or graduate courses.

A PhD or its equivalent in the Mathematical Sciences, granted not more than 5 years prior the start of the appointment, is required for this position. An earned doctorate is required by the start of the appointment.

1) potential to carry out research of exceptional quality at Georgia Tech; (2) research interests complementary to existing strengths in the School of Mathematics; (3) strong potential for external funding; (4) the ability in teaching, scholarship, and/or service that contributes to the Institute's Student Success Criteria. Consistent with these priorities, candidates will be considered in all areas of Pure and Applied Mathematics and Statistics.

Applications must consist of i) a cover letter expressing interest in the position, ii) curriculum vitae, including a list of publications, iii) a research statement including a summary of future research plans, iv) evidence of teaching interest, abilities, and related experience summarized in a teaching statement, and v) a list of at least four letters of reference, including a teaching letter of reference. Successful applicants will be expected to interact with one or more current Georgia Tech faculty members and those with whom an applicant might work should be named in the cover letter. Applications will be considered beginning November 1, 2025, but the search will continue until the positions are filled.

For additional information about this job opening, please contact

The University System of Georgia is comprised of our 26 institutions of higher education and learning as well as the System Office. Our USG Statement of Core Values are Integrity, Excellence, Accountability, and Respect. These values serve as the foundation for all that we do as an organization, and each USG community member is responsible for demonstrating and upholding these standards. More details on the USG Statement of Core Values and Code of Conduct are available in USG Board Policy 8.2.18.1.2 and can be found on-line at policymanual/section8/C224/#p8.2.18_personnel_conduct.

Additionally, USG supports Freedom of Expression as stated in Board Policy 6.5 Freedom of Expression and Academic Freedom found on-line at policymanual/section6/C2653.

The Georgia Institute of Technology (Georgia Tech) is an Equal Employment Opportunity Employer. The Institute is committed to maintaining a fair and respectful environment for all. To that end, and in accordance with federal and state law, Board of Regents policy, and Institute policy, Georgia Tech provides equal opportunity to all faculty, staff, students, and all other members of the Georgia Tech community, including applicants for admission and/or employment, contractors, volunteers, and participants in institutional programs, activities, or services. Georgia Tech complies with all applicable laws and regulations governing equal opportunity in the workplace and in educational activities.

Equal opportunity and decisions based on merit are fundamental values of the University System of Georgia (USG) and Georgia Tech. Georgia Tech prohibits discrimination, including discriminatory harassment, on the basis of an individuals race, ethnicity, ancestry, color, religion, sex (including pregnancy), national origin, age, disability, genetics, or veteran status in its programs, activities, employment, and admissions. Further, Georgia Tech prohibits citizenship status, immigration status, and national origin discrimination in hiring, firing, and recruitment, except where such restrictions are required in order to comply with law, regulation, executive order, or Attorney General directive, or where they are required by Federal, State, or local government contract.

This is not a supervisory position.
This position does not have any financial responsibilities.
This position will not be required to drive.
This role is not considered a position of trust.
This position does not require a purchasing card (P-Card).
This position will not travel.
This position does not require security clearance.

The candidate of choice will be required to pass a preemployment background screening. employment/pre-employment-screening.

We're building safety-enhancing technology for aviation that will save lives. Automated aviation systems will enable a future where air transportation is safer, more convenient and fundamentally transformative to the way goods - and eventually people - move around the planet. We are a team of mission-driven engineers with experience across aerospace, robotics and self-driving cars working to make this future a reality.

As a Radar Systems Engineer, you will be a part of our Radar Engineering team. The Radar Engineering team is comprised of a small cross functional team of motivated and experienced engineers; we're responsible for designing, building, and testing cutting edge phased array radar systems from concept to certified product. We enjoy a culture of sharing information and collaboration. Phased array radar systems have historically been reserved for specialized applications, but we're making this technology affordable to enable Detect and Avoid for widespread commercial applications. This role will focus on new advanced operational modes. The passion for revolutionary technology to make aviation safer motivates us to come in every day.

Responsibilities

In your role as a Radar Systems Engineer, you will be responsible for analyzing phased array radar systems and developing radar processing algorithms to enable short, long range object tracking, and radar image generation. You will be involved in all phases of development from conception to production, designing your algorithms in Matlab, Python, and implementation in C++ on the target hardware. You will drive the system-level requirements of the phased array radar system, and drive trade studies collaborating with the cross functional teams. You will support the integration of the radar on the aircraft and support data collection and analysis during flight testing. You will be the owner of real-time processing of radar algorithms on an FPGA, DSP-based platform.

Basic Success Criteria

• Electrical Engineering fundamentals, typically gained through a Bachelor's Degree of Science or Engineering in Mechanical, Electrical, Aerospace, or a related discipline

• 8+ years of professional hands-on experience with Radar algorithms, radar system design, radar signal processing, integration, and test of a radar system

• Ability to use C++, Matlab and Python (Python preferred)

• Ability to troubleshoot, find root cause, and resolve issues

• Pulsed and FMCW processing algorithm development

• Experience in airborne radar testing and development

Preferred Criteria

• Advanced Degree of Science or Electrical Engineering

• Experience developing system architectures and managing requirements for certification of Avionics

• Creative problem solver that can bring multiple disciplines together, with the ability to assess risk and make design and development decisions without all available data

• Experience integrating and troubleshooting various electronic sensors and components

• Weather radar experience, airborne or ground-based

• Real beam radar imaging, and or SAR processing

This role can be remote, or located at our facility in Mountain View, California.

Must be willing to travel 30% of the time.

The estimated salary range for this position is $180,000 to $260,000/annual salary + cash and stock option awards + benefits. At Reliable Robotics, we strive to provide competitive and rewarding compensation based on experience and expertise, as well as market conditions, location, and pay equity.

In addition to base compensation, Reliable Robotics offers stock options, employee medical, 401k contribution, great co-workers and a casual work environment.

This position requires access to information that is subject to U.S. export controls. An offer of employment will be contingent upon the applicant's capacity to perform in compliance with U.S. export control laws.

All applicants are asked to provide documentation that legally establishes status as a U.S. person or non-U.S. person (and nationalities in the case of a non-U.S. person). Where the applicant is not a U.S. person, meaning not a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident, (iii) refugee under 8 U.S.C. * 1157, or (iv) asylee under 8 U.S.C. * 1158, or not otherwise permitted to access the export-controlled technology without U.S. government authorization, the Company reserves the right not to apply for an export license for such applicants whose access to export-controlled technology or software source code requires authorization and may decline to proceed with the application process and any offer of employment on that basis.

At Reliable Robotics, our goal is to be a diverse and inclusive workforce. As an Equal Opportunity Employer, we do not discriminate on the basis of race, religion, color, creed, ancestry, sex, gender (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender identity, gender expression, sexual orientation, age, non-disqualifying physical or mental disability or medical conditions, national origin, military or veteran status, genetic information, marital status, or any other basis covered by applicable law. All employment and promotion is decided on the basis of qualifications, merit, and business need.

If you require reasonable accommodation in completing an application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to

Compensation Range: $180K - $260K

Precision Machining Specialist

Location: On-site – Atlanta, GA & Braselton, GA

Schedule: Monday through Friday, 8:00 AM – 4:30 PM

Compensation: $30–$40 per hour (DOE) + Overtime eligibility

A rapidly growing industrial equipment manufacturer with operations in North Georgia is expanding its internal machining capabilities and hiring a skilled Precision Machining Specialist to join their high-performing, hands-on engineering and production team. This role supports custom machinery builds and prototype development for customers in aerospace, energy, automotive, and advanced manufacturing markets.

Key Responsibilities:

• Operate and configure CNC and conventional machining tools to produce high-precision parts for specialized machinery assemblies.
• Program, edit, and optimize CNC toolpaths using CAM software (e.g., Mastercam).
• Interpret engineering drawings, applying GD&T standards to ensure tight-tolerance specifications are met.
• Collaborate closely with engineers to fabricate components for new designs, R&D projects, and machine prototypes.
• Select appropriate tooling, complete machine changeovers, and fine-tune machining parameters to support efficient production and maintain quality standards.
• Help organize and optimize internal machining workflows as the shop scales.
• Conduct inspections to ensure machined parts meet all dimensional and quality standards.
• Conduct routine care and upkeep of machinery and tooling to promote a safe and productive workshop environment.
• Contribute to production schedules by aligning machining work with engineering and build timelines.
• Recognize opportunities to enhance machining methods, tooling strategies, and overall production efficiency.

Equipment You'll Use:

• Haas VF-4 Vertical Machining Center
• Mazak Quick Turn 8 CNC Lathe
• Seiki-XL 24” x 120” Manual Lathe
• Hydro-Mech Horizontal Band Saw

Required Qualifications:

• Hands-on experience with both CNC machining and manual machining equipment.
• Proven experience programming CNC equipment using CAM platforms such as Mastercam.
• Proficiency with GD&T and interpreting technical engineering drawings.
• Background in machining high-precision components for industrial or custom equipment applications.
• Mechanical aptitude, attention to detail, and self-directed problem-solving ability.

Preferred:

• Experience working in custom machine building, prototype development, or engineer-to-order environments.
• Exposure to SolidWorks or similar CAD platforms.
• Familiarity with job shop or high-mix, low-volume manufacturing workflows.
• Prior involvement in setting up or scaling a machining operation.

Why Apply?

• Join a capital equipment manufacturer in high-growth mode with increasing production complexity and machine volume.
• Collaborate daily with a team of passionate engineers and builders on unique machinery builds.
• Work in a casual, blue-collar environment that values initiative and craftsmanship.
• Shape the future of the company’s machining operations with your hands-on input.
• Competitive pay, consistent day-shift schedule, and opportunities for overtime.

If you're looking to step into a role where your ideas, mechanical skill, and machining expertise directly impact innovative equipment builds, we want to connect with you. Apply today to learn more about this opportunity.

About Blue Signal:

Blue Signal is an award-winning, executive search firm specializing in various specialties. Our recruiters have a proven track record of placing top-tier talent across industry verticals, with deep expertise in numerous professional services. Learn more at /46Gs4yS

Machine Shop Supervisor – CNC Operations, Programming & Advanced Manufacturing

Technical Source is seeking a Machine Shop Supervisor with deep expertise in CNC machining, programming, and leadership within a high‑precision manufacturing environment. Our client is an industry-leading designer and builder of custom automation systems supporting industrial, medical, and semiconductor applications. Their U.S. machining and automation operations support the production of specialized components used in complex modules, equipment platforms, and fully integrated production systems.

This position plays a critical role in shaping the machine shop of the future, including leading day‑to‑day machining activities, guiding CNC operators, refining programming strategies, and helping establish a new machining facility that will integrate directly with advanced automation and robotic workflows.

Role Overview

As the Machine Shop Supervisor, you will be the primary leader responsible for CNC machining operations that support sophisticated automated manufacturing systems. You will guide personnel, oversee production schedules, develop CNC programs, and ensure best‑in‑class machining practices across multi‑axis equipment and robotic machine‑tending environments.

You will also be heavily involved in planning and setting up the machine shop during an upcoming facility relocation, including equipment layout, workflow optimization, and integrating machining activities with automated equipment and digital manufacturing technologies.

Every day will bring new challenges … new parts, new processes, and new engineering problems to solve, while maintaining a high standard of precision, safety, and operational excellence.

Key Responsibilities

• Lead, train, and mentor CNC machinists to meet production goals and uphold quality and safety standards.
• Oversee daily machining operations, including scheduling, prioritizing workloads, and coordinating with automated production lines and supporting departments.
• Create, refine, and optimize CNC programs for complex components used in robotic assemblies, tooling packages, motion‑control systems, and custom automated machinery.
• Use CAM programming tools (Mastercam, Fusion 360, or equivalent) to develop efficient toolpaths, reduce cycle times, and ensure compatibility with automated material-handling systems.
• Support and troubleshoot multi-axis machining centers, robotic tending cells, and automation-assisted machining processes; experience with Okuma equipment is highly beneficial.
• Drive the setup and organization of the new machine shop facility—including equipment placement, workflow development, process layout, and integration with automation and digital systems.
• Collaborate closely with engineering, automation, and maintenance teams to address machining issues, improve system performance, and enhance uptime and reliability.
• Interpret detailed engineering drawings, GD&T requirements, and automation-related part specifications to ensure accurate and repeatable production results.
• Maintain a clean, organized, and safety‑focused work environment aligned with modern automated manufacturing expectations.
• Participate in continuous-improvement initiatives involving automation enhancements, process optimization, tooling improvements, and smart‑manufacturing strategies.

Required Qualifications

• Prior experience in setting up a machine shop or similar environment (industrial automation or advanced-manufacturing environment)
• Associate or Bachelor’s degree in Machine Tool Technology, Computer Integrated Machining, or a closely related manufacturing discipline.
• 8+ years of experience in CNC machining, electrical/mechanical technical support, or similar roles in an advanced-manufacturing environment.
• Demonstrated background in CNC machining, programming, and supervising machining teams within high‑precision or automation-driven production settings.
• Strong understanding of multi‑axis machining, robotic machine‑tending concepts, and automated part-handling systems.
• Proficiency with CAM software such as Mastercam, Fusion 360, or similar platforms.
• Working knowledge of advanced manufacturing technologies (robotics, PLC-controlled equipment, vision systems, digital factory tools).
• Solid foundation in machining fundamentals, tooling selection, fixturing, and precision manufacturing practices.
• Strong leadership, communication, and troubleshooting skills with the ability to support both machining personnel and automated systems.

Work Environment & Location

• Full‑time, onsite position based in the Raleigh/Morrisville area.
• Role requires hands‑on presence on the shop floor; remote or hybrid schedules are not available.
• Position includes significant involvement in setting up a newly relocated machine shop.
• Relocation assistance is not provided.

What They Offer

• Competitive Compensation – Pay aligned with technical skill level and supervisory responsibilities.
• Health Benefits – Medical, dental, and vision insurance covered by the company.
• Life Insurance – Company‑paid plan for financial protection.
• 401(k) Retirement Plan – Employee contribution options to support long-term savings.
• Paid Time Off – Flexible PTO plus company‑paid holidays.
• Uniforms & Safety Gear – Provided to ensure professionalism and workplace safety.
• Advanced Technology Exposure – Work with multi‑axis machining, robotics, and automation-enabled processes supporting high‑precision, high-volume production environments.

You’ll join a collaborative, engineering-driven culture where machinists, programmers, and automation specialists work side-by-side—and where your skill, initiative, and leadership will directly influence the success of next‑generation automated manufacturing systems.

A postdoctoral fellowship is available at the Stanford University School of Medicine focused on implementing machine learning on population-scale clinical and biological data to characterize biological aging, resilience, and rejuvenation.

This is a unique opportunity to apply ML in unconventional and paradigm-shifting research with the potential to directly and broadly impact human lives. By joining our research group, you will:

• Have direct access to unparalleled population-scale clinical and biological data sources, along with the computational resources required to analyze these data and develop sophisticated machine learning models.
• Work in a highly collaborative environment with researchers from diverse backgrounds in medicine, biological sciences, and computer science.
• Collaborate with world-leading experts at Stanford University across the spectrum of AI, medicine, and biology.
• Be part of an environment strongly committed to translating research findings into actionable insights and scalable real-world products. We encourage (and financially support) our postdoctoral fellows to pursue extensive training in entrepreneurship and business management through Stanford’s Graduate School of Business. This position is well suited for candidates interested not only in state-of-the-art academic research, but also in exploring industrial and entrepreneurial career trajectories.

As a Stanford postdoctoral scholar, you will receive a highly competitive salary and comprehensive benefits, including best-in-class health and dental insurance. You will also receive priority consideration for Stanford housing and have access to Stanford’s broad range of professional development, learning, and growth resources.

Relevant background:

• MD or PhD, with research experience building and/or applying machine learning models during graduate studies, industry, or postdoctoral work.
• Excellent publication record.
• Interest in medicine and biology.
• Familiarity with modern AI/ML platforms and libraries (e.g., PyTorch and/or TensorFlow), traditional machine learning frameworks (e.g., scikit-learn), and statistical analysis in Python.

Preferred, but not required:

• Familiarity with electronic health record (EHR) data and cohort/outcome definition using EHRs.
• Experience in medicine and/or biology, particularly in aging-related research and omics-based analyses.
• Broad experience across diverse AI/ML concepts, including causal inference.
• Publications in leading AI/ML, biology, or medicine conferences and journals.

Keywords:

Machine Learning, Precision Medicine, Biology, Omics, Proteomics, metabolites, Electronic Health Records, Artificial Intelligence, Data Science, Deep Learning, Bioinformatics

How to Apply:

• To receive full consideration, please apply using the following google form:  can be directed to
• For more information please visit: 

• Prepare and set up multiple work centers, ensuring initial parts meet Quality Assurance specifications.
• Set up numerical control machines or machining centers to perform functions such as cutting, drilling, milling, reaming, boring, and broaching.
• Mount, align, and secure tooling attachments and workpieces.
• Select and install cutting tools in machine spindles.
• Load control media or enter commands to retrieve preprogrammed instructions from the database.
• Operate CNC Avenger 200T, 850 X, and Orbitform Assembly Machines.
• Diagnose and troubleshoot issues in multiple work centers.
• Operate equipment through trial runs to verify setups and make necessary adjustments.
• Monitor displays and machine operations to detect malfunctions and resolve issues promptly.
• Enter commands or manually adjust machine controls to correct malfunctions or out-of-tolerance machining.
• Coordinate activities for operators and conduct on-the-job training for new operators.
• Instruct equipment operators and maintenance personnel on setup, operation, and maintenance of equipment.
• Perform preventive maintenance and minor repairs on machines as needed.
• Calculate and set machine controls to regulate factors such as cutting depth, speed, feed, and coolant flow.
• Stop machines to change cutting tools and setups as required by the machining sequence.
• Measure parts for conformance to blueprint specifications using precision measuring instruments.
• Discuss control media errors with programming personnel to resolve problems.
• Perform other customer-driven or product-driven duties as assigned by the supervisor.

• High school diploma or GED required.

• 3 to 5 years of experience in CNC and assembly machine operations.

• Knowledge of computer systems and hard gauging measuring equipment.
• Strong understanding of mechanical manufacturing processes and production tools.
• Ability to read tooling prints and perform mathematical calculations related to machining.
• Background in CNC programming.
• Familiarity with software packages relevant to machining operations.
• Attention to detail and troubleshooting aptitude.
• Strong communication, organizational, and people skills.
• Conceptual thinking and mechanical aptitude.

• Good vision and adequate hearing.
• Ability to lift light loads (10-20 lbs daily) and heavier loads (50-60 lbs occasionally).
• Manual dexterity and coordination.
• Mobility for bending and kneeling as required.

Location: United States

At GoDaddy the future of work looks different for each team. Some teams work in the office full-time; others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely.

This is a remote position, so you'll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings.  

This position is not eligible to be performed in Alaska, Mississippi, North Dakota, or the Virgin Islands.

GoDaddy is not currently considering candidates for this role in California, Seattle, or NYC.

Join Our Team

We are looking for an experienced leader in experimentation methodology to join our core Applied ML team. The Applied AI and Machine Learning team handles large-scale data to support many business areas. We develop a cohesive navigation experience across channels and web pages. Our goal is to simplify and improve the shopping experience for everyday entrepreneurs worldwide, helping them quickly find what they need on our website.

In this leadership role, you will enhance the strategic direction of our experimentation methodology efforts. You will use simulations and reinforcement learning, ensuring consistency with business objectives, and supporting cross-functional teams in data-informed experimentation solutions. You will guide teams working at the intersection of large-scale foundation models, multi-agent systems, and RL-based optimization, encouraging a culture of collaboration, innovation, and technical excellence.

What you'll get to do...

• Define and drive the strategic roadmap for AI driven experimentation methodology, aligning initiatives with organizational goals and business impact
• Supervise and mentor teams of scientists and engineers, providing technical guidance and career development
• Promote meticulous experimentation, including the development of simulation environments and robust evaluation frameworks using machine learning and RL
• Collaborate with product, engineering, and business teams to translate research outcomes into scalable, production-ready experimentation solutions
• Facilitate knowledge sharing and cultivate a collaborative, innovative environment across the Applied ML team and broader organization

Your experience should include...

• 3+ years of professional experience managing and leading high-performing teams, including mentoring and coaching team member to achieve organizational goals
• 5+ years of professional experience in experimentation methodology, Reinforcement Learning, and software development 
• 2 + years of professional with experimentation platforms, data pipelines, and analytical tools to guide methodological rigor
• A deep understanding of statistical principles, causal inference, and experimental design for large-scale digital products
• A track record of partnering effectively with experimentation platform teams, product managers, and business stakeholders to drive data-informed decision-making
• 5+ years of professional experience translating complex statistical concepts into actionable insights for technical and non-technical audiences
• The ability to define and implement a vision for experimentation best practices across diverse product areas

You might also have...

• Master's in computer science or equivalent quantitative fields

We've got your back... We offer a range of total rewards that may include paid time off, retirement savings (e.g., 401k, pension schemes), bonus/incentive eligibility, equity grants, participation in our employee stock purchase plan, competitive health benefits, and other family-friendly benefits including parental leave. GoDaddy's benefits vary based on individual role and location and can be reviewed in more detail during the interview process.

We also embrace our diverse culture and offer a range of Employee Resource Groups (Culture). Have a side hustle? No problem. We love entrepreneurs! Most importantly, come as you are and make your own way. 

About us...  GoDaddy is empowering everyday entrepreneurs around the world by providing the help and tools to succeed online, making opportunity more inclusive for all. GoDaddy is the place people come to name their idea, build a professional website, attract customers, sell their products and services, and manage their work. Our mission is to give our customers the tools, insights, and people to transform their ideas and personal initiative into success. To learn more about the company, visit About Us. 

At GoDaddy, we know diverse teams build better products—period. Our people and culture reflect and celebrate that sense of diversity and inclusion in ideas, experiences and perspectives. But we also know that's not enough to build true equity and belonging in our communities. That's why we prioritize integrating diversity, equity, inclusion and belonging principles into the core of how we work every day—focusing not only on our employee experience, but also our customer experience and operations. It's the best way to serve our mission of empowering entrepreneurs everywhere, and making opportunity more inclusive for all. To read more about these commitments, as well as our representation and pay equity data, check out our Diversity and Pay Parity annual report which can be found on our Diversity Careers page.

GoDaddy is proud to be an equal opportunity employer. GoDaddy will consider for employment qualified applicants with criminal histories in a manner consistent with local and federal requirements. Refer to our full EEO policy.

Our recruiting team is available to assist you in completing your application. If they could be helpful, please reach out to  

Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.

GoDaddy doesn't accept unsolicited resumes from recruiters or employment agencies.