Enigma Search Engine Jobs in Usa

About Georgia Tech:

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:

Students are our top priority.

We strive for excellence.

We thrive on diversity.

We celebrate collaboration.

We champion innovation.

We safeguard freedom of inquiry and expression.

We nurture the wellbeing of our community.

We act ethically.

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 Aerospace Engineering:

For more than two decades, the Daniel Guggenheim School of Aerospace Engineering has consistently ranked among the nation's top 5 aerospace engineering programs, attracting aspiring engineers to pursue their academic journeys at the nations No. 1 public institution for aerospace engineering. With an esteemed faculty of more than 50 tenured-track professors and a thriving student body of over 2,000 individuals, the School is uniquely positioned to offer a comprehensive and hands-on approach to research, scholarship, and education, spanning fixed-wing aircraft, rotorcraft, and space domains.

Atlanta, GA

The School of Aerospace Engineering ( ) at the Georgia Institute of Technology invites applications for multiple tenure-track faculty positions. Applicants will be considered at all ranks and in any technical areas of relevance to aerospace systems, interpreted broadly. These areas include artificial intelligence and dynamical systems.

Typically reporting to the School Chair, the Professor is a tenured/tenure-track faculty member who performs a combination of teaching, research, and service. Professors may hold administrative appointments as long as the majority of their time is dedicated to teaching, research, and service. Professors hold a terminal degree and have normally spent three or more years at the rank of Associate Professor. The position is located at the Atlanta Campus, Atlanta Georgia.

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, inquiry and innovation, collaboration, community, and ethical behavior and stewardship. Georgia Tech has policies to promote a healthy work-life balance and is aware that attracting faculty may require meeting the needs of two careers.

It is an exceptionally dynamic period in the aerospace community with many opportunities for research discoveries and new technology development to shape the future of the field in aviation, space exploration, and vertical lift.

We seek exceptional applicants motivated to "Create the Next in Aerospace" by performing innovative research and creating inspiring learning environments at both the undergraduate and graduate levels. Emphasis will be placed on the originality of the applicant's work, and its potential impact on the field.

Those applying for Associate and Full Professor positions should have established records in research that demonstrates nationally and internationally recognized expertise. Candidates are expected to teach and mentor a diverse student body. Along with undergraduate and graduate teaching, each position requires a balance of research and service responsibilities.

An earned Ph.D. or Sc.D. in Aerospace Engineering or closely related field is required by the start of the appointment.

Applicants should submit a letter of application; curriculum vitae; a statement of research interests; a description of teaching interests as well as their advising/mentoring philosophy; a statement on how their professional and academic experiences have prepared them to support and apply Georgia Tech's values, which are described in our strategic plan (); and the names and contact information for 3-5 references.

Requests for information may be directed to . The recommended submission date is December 1, 2025. The search will continue until the positions are filled. An earned doctorate is required by the start of the appointment, and a background check must be completed prior to beginning employment. Application materials should be submitted as PDF files via employment/careers.

For additional information, 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.

Successful candidate must be able to pass a background check. Please visit employment/pre-employment-screening

Etsy is the global marketplace for unique and creative goods. We build, power, and evolve the tools and technologies that connect millions of entrepreneurs with millions of buyers around the world. As an Etsy Inc. employee, whether a team member of Etsy or Depop, you will tackle unique, meaningful, and large-scale problems alongside passionate coworkers, all the while making a rewarding impact and keeping commerce human.

Salary Range: $252,000.00 - $328,000.00

What's the role? We are looking for a Senior Engineering Manager to lead our Models team. In this role, you will manage a team of motivated ICs to build the next generation of Etsy's models platform, which in turn will enable your customer teams to improve the quality of search, ads, recommendations, and other ML applications for nearly 100M buyers and over 5M sellers. Do you have a passion for training, serving and scaling machine learning models? Are you excited by the challenges of building a platform for diverse machine learning use cases? Are you motivated to lead and develop ICs at different stages of their careers? If so, this could be the perfect match. This opportunity is a full-time position reporting to the Director of Engineering for ML Enablement. This position will be in Brooklyn, NY or for remote candidates based in the United States.

What's this team like at Etsy? The Machine Learning Enablement Initiative builds and maintains a complete ecosystem of ML systems including our feature & embeddings store, model training, serving, orchestration and testing infrastructure. The Models team is responsible for the model catalog, APIs, and serving infrastructure that runs our online models at high scale (millions of inferences per second). It is a small team historically focused on operations, but transitioning to play a more direct role in the application layer. The team is presently leading Etsy's migration from Tensorflow to Pytorch, building upon an innovative architecture designed in-house and based on KServe, NVIDIA Triton, Apache Arrow, and Ray. We are using this opportunity to fill in historical gaps in automation, integration, and standardization across the ML platform. We aspire to unify modeling approaches across all major ML development teams at Etsy. This is a big, challenging opportunity to influence how models are created, trained, and deployed across the entire company!

What does the day-to-day look like? Meet with customers to understand their latest use cases. Work with your team and partners to translate those use cases into concrete requirements. Offer an informed point of view on engineering, system design, and machine learning considerations. Keep track of ongoing issues (stability, performance, cost) with models on the platform, and identify short-term fixes and long-term platform improvements. Maintain a product roadmap, lead agile processes and plan workstreams for a team of 4 ICs. Occasionally lead multi-functional \"tiger teams\" for dedicated projects. Coach your ICs and support their career development trajectories. Own and maintain the team's customer-facing surfaces: documentation, code examples, metrics, dashboards, UIs, launch announcements, etc. We are proud of our engineering culture that encourages career growth and learning in a blameless environment. You can learn more about our philosophies, tools, and some of the challenges we've been solving on our Engineering blog. Of course, this is just a sample of the kinds of work this role will require! You should assume that your role will encompass other tasks, too, and that your job duties and responsibilities may change from time to time at Etsy's discretion, or otherwise applicable with local law.

Qualities that will help you thrive are: A strong track record of developing and serving machine learning models at scale, with at least 4 years in a leadership capacity (tech lead or EM) and 2 years as an engineering manager. You like to be deep in the technical work, but you can also build partnerships across teams in a highly collaborative environment. Passion for building platforms that don't just work, but that are easy to maintain and extend, and are delightful to use. You are a strong collaborator, communicator, and coach and you are passionate about helping the engineers around you grow and learn. You have 5+ years of experience building, iterating and solving complex problems with a significant backend component. Background and hands-on experience with Cloud technologies (Google Cloud, AWS, Kubernetes) is a plus.

Additional Information If you're interested in joining the team at Etsy, please share your resume with us and feel free to include a cover letter if you'd like. At Etsy, we believe that a diverse, equitable and inclusive workplace furthers relevance, resilience, and longevity. We encourage people from all backgrounds, ages, abilities, and experiences to apply. Etsy is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or veteran status, or any other characteristic protected by applicable law. If, due to a disability, you need an accommodation during any part of the application or interview process, please let your recruiter know. While Etsy supports visa sponsorship, sponsorship opportunities may be limited to certain roles and skills.

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

With more than 500 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 4,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you'll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won't find anywhere else.

Within the Monetization ML Engineering team, we try to connect the dots between the aspirations of Pinners and the products offered by our partners. In this role, you will be responsible for developing and executing a vision for the evolution of the machine learning technology stack within Ads.

What you'll do:

• 
  
• Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest
  
• Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas
  
• Use data driven methods and leverage the unique properties of our data to improve candidates retrieval
  
• Work in a high-impact environment with quick experimentation and product launches
  
• Keep up with industry trends in recommendation systems
  
• Leverage LLMs to enhance content understanding
  

What we're looking for:

• 
  
• 2+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning)
  
• Degree in computer science, statistics, or related field; or equivalent experience
  
• End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)
  
• Practical knowledge of large scale recommender systems, or modern ads ranking, retrieval, targeting, marketplace systems
  
• Nice to have:
  
  • 
    
  • M.S. or PhD in Machine Learning or related areas
    
  • Publications at top ML conferences
    
  • Expertise in scalable realtime systems that process stream data
    
  • Passion for applied ML and the Pinterest product
    
  • Background in computational advertising
    
  
  
  

Relocation Statement:

• 
  
• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
  

#LI-HYBRID

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

Our Commitment to Inclusion:

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

With more than 600 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 4,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you'll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won't find anywhere else.

Within the Monetization ML Engineering team, we try to connect the dots between the aspirations of Pinners and the products offered by our partners. In this role, you will be responsible for developing and executing a vision for the evolution of the machine learning technology stack within Ads.

What you'll do:

• 
  
• Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest
  
• Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas
  
• Use data driven methods and leverage the unique properties of our data to improve candidates retrieval
  
• Work in a high-impact environment with quick experimentation and product launches
  
• Keep up with industry trends in recommendation systems
  
• Leverage LLMs to enhance content understanding
  

What we're looking for:

• 
  
• 2+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning)
  
• Degree in computer science, machine learning, statistics, or related field
  
• End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)
  
• Practical knowledge of large scale recommender systems, or modern ads ranking, retrieval, targeting, marketplace systems
  
• Nice to have:
  
  
  • 
    
  • Publications at top ML conferences
    
  • Expertise in scalable realtime systems that process stream data
    
  • Passion for applied ML and the Pinterest product
    
  • Background in computational advertising
    
  
  
  

Relocation Statement:

• 
  
• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
  

#LI-HYBRID

#LI-SM4

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

Our Commitment to Inclusion:

About Diversified:

Diversified is a global leader in audio visual and media innovation, recognized for designing and building the world's most experiential environments. Our award-winning team specializes in delivering solutions for the most complex, large-scale and immersive installations. Serving a global clientele that includes major media organizations and retailers, sports and live performance venues, corporate enterprises, and government agencies, Diversified partners with clients to create spaces that bring people together and keep them coming back.

What to Expect:

At Diversified, we're on a mission to create a world without boundaries, where technology enables all people to connect and experience the moments that matter, wherever they choose to be. With clients spanning the globe and an exciting pipeline of projects across industries, Diversified offers more than just a job. We offer a career path with the flexibility to grow personally and professionally, wherever your ambitions take you.

As a Diversified associate, you'll dive headfirst into big, complex, and rewarding projects that push the boundaries of what's possible. Plus, you'll enjoy a flexible work environment, competitive compensation and benefits, and a culture that celebrates diversity and inclusion.

IF YOU CAN DREAM IT, YOU CAN DO IT AT DIVERSIFIED.

The Engineering Leader is responsible for leading the Design Engineering organization across the company and ensuring consistent, high-quality, and profitable project delivery. Reporting to the Vice President of Engineering Operations, this role oversees Engineering Managers and Design Engineering teams, driving accountability, operational efficiency, and technical excellence throughout the project lifecycle.

A core focus of this position is ensuring Design and Project Engineers are positioned to perform their highest-value work-developing client relationships, shaping execution strategies, and ensuring system accuracy and expected functionality. This role partners closely with Engineering Documentation leadership to ensure documentation and support workflows are effectively leveraged, allowing Design Engineering resources to remain focused on technical leadership and client-facing responsibilities.

Responsibilities include, but are not limited to:

• 
  
  
• Own the performance, development, and accountability of Engineering Managers leading Design Engineering teams, setting clear expectations and holding leaders responsible for team results, delivery quality, and professional growth.
  
  
• Establish and sustain a culture of ownership and accountability across the engineering organization by defining measurable standards for project delivery, documentation quality, and client satisfaction, and addressing performance gaps directly.
  
  
• Drive engineering efficiency and profitability by identifying misaligned workflows, reducing non-value-added engineering effort, and ensuring appropriate use of engineering support and documentation resources.
  
  
• Partner with Support Engineering leadership to ensure effective utilization of engineering support teams, removing barriers that prevent smooth handoff and enabling Engineers to focus on high-value technical work.
  
  
• Ensure Engineers are consistently focused on client relationship development, execution planning, technical accuracy, and system functionality throughout the project lifecycle.
  
  
• Maintain visibility into presales pipeline and active project lifecycle status, comparing as-sold versus as-delivered labor, identifying value-engineering opportunities, and supporting financial performance improvement.
  
  
• Collaborate with Field and Fabrication Services and Project Management leadership to align engineering capacity with project demand, participating in resource planning and ensuring engineering support meets business needs.
  
  
• Establish, enforce, and audit engineering standards and delivery processes that support consistent, high-quality outcomes, reducing variability and improving first-time quality across projects.
  
  
• Serve as the senior escalation point for engineering-related issues impacting project delivery or client satisfaction, intervening when projects are off track and guiding recovery plans with responsible managers.
  
  
• Provide leadership input on hiring, succession planning, and organizational design for Engineering Manager roles, ensuring alignment with technical requirements and cultural expectations.
  
  
• Track, analyze, and act on key engineering performance metrics, including utilization, margin contribution, rework rates, schedule adherence, and client satisfaction, using data to drive continuous improvement.
  
  

Required Skills and Experience

• 
  
  
• Bachelor Degree Required, preferably in Engineering, Construction Management or related field.
  
  
• 10+ years of experience in systems integration, audiovisual engineering, or a related technical field with progressive leadership responsibility.
  
  
• 3+ years of experience managing managers or leading large, multi-project technical teams.
  
  
• AVIXA CTS, CTS-I, or CTS-D certification.
  Demonstrated success improving team performance and delivering measurable business results.
  
  
• Experience developing, implementing, and enforcing engineering standards and processes at scale.
  
  
• Strong understanding of the full project lifecycle from design through commissioning.
  
  
• Experience partnering cross-functionally with Sales, Project Management, and Field & Fabrication Services.
  
  
• Ability to read and interpret architectural drawings, system schematics, and technical specifications.
  
  
• Financial acumen, including labor forecasting, project budgets, and margin impact analysis.
  
  
• Strong problem-solving skills with a bias toward action and resolution.
  
  
• Effective written and verbal communication skills suitable for executive-level engagement.
  
  

What We Offer:

Along with competitive compensation, you will be eligible for the following benefits:

• 
  
  
• Multiple medical plan options to suit your family's needs
  
  
• Dental (including orthodontic coverage) and vision plans
  
  
• Company paid Basic Life, AD&D, Short-Term and Long-Term Disability Insurance, and Employee Assistance Plan (EAP)
  
  
• Healthcare and Dependent Care Flexible Spending Accounts (FSA)
  
  
• 401k with Employer Match
  
  
• Paid Time Off and Paid Holidays
  
  
• Voluntary Benefits: Critical Illness, Hospital Indemnity, Accident Insurance, Pet Insurance, Homeowners and Auto Insurance, Supplemental Term and Dependent Life and AD&D, and Legal Services
  
  
• Commuter Benefits
  
  
• And much more
  
  

To learn more about becoming part of the Diversified team, visit us at our career siteor email us at .

Diversified is an equal opportunity employer committed to fostering an inclusive and diverse workplace. All aspects of employment will be based on job requirements, individual qualifications, merit, performance, and business need. We do not discriminate based on race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other protected characteristic under applicable law. We believe in fair and equitable hiring practices and strive to create an environment where all individuals feel valued and empowered.

If you require a reasonable accommodation to participate in the application or interview process due to a disability, please contact so we can assist you.

Our compensation ranges reflect the cost of labor across several US geographic markets. The pay details below range from our lowest geographic market up to our highest geographic market. Pay is based on several factors including market location and may vary depending on job-related knowledge, skills and experience depending on the position offered, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

With more than 500 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 3,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you'll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won't find anywhere else.

What you'll do:

• 
  
• Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest
  
• Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas
  
• Use data driven methods and leverage the unique properties of our data to improve candidates retrieval
  
• Work in a high-impact environment with quick experimentation and product launches
  
• Keeping up with industry trends in recommendation systems
  

What we're looking for:

• 
  
• 4+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning)
  
• End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)
  
• Degree in computer science, machine learning, statistics, or related field
  
• Nice to have:
  
  • 
    
  • Publications at top ML conferences
    
  • Expertise in scalable realtime systems that process stream data
    
  • Passion for applied ML and the Pinterest product
    
  • MS/PhD in Computer Science, ML, NLP, Statistics, Information Sciences, related field, or equivalent experience.
    
  
  
  

Relocation Statement:

• 
  
• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
  

#LI-SA1

#LI-REMOTE

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

Our Commitment to Inclusion:

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

With more than 500 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 3,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you'll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won't find anywhere else.

What you'll do:

• 
  
• Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest
  
• Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas
  
• Use data driven methods and leverage the unique properties of our data to improve candidates retrieval
  
• Work in a high-impact environment with quick experimentation and product launches
  
• Keeping up with industry trends in recommendation systems
  

What we're looking for:

• 
  
• 2+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning)
  
• End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)
  
• Degree in computer science, machine learning, statistics, or related field
  
• Nice to have:
  
  • 
    
  • M.S. or PhD in Machine Learning or related areas
    
  • Publications at top ML conferences
    
  • Expertise in scalable realtime systems that process stream data
    
  • Passion for applied ML and the Pinterest product
    
  
  
  

Relocation Statement:

• 
  
• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
  

#LI-SA1

#LI-REMOTE

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

Our Commitment to Inclusion:

Under general and/or immediate supervision from higher level engineering staff, performs a variety of journey level technical drafting, office and field engineering work; and provides assistance and information to the public. May exercise functional and technical supervision over less experienced technical staff.
Position Snapshot/A Day in the Life: The Engineering Technician II performs routine drafting and technical engineering work in support of municipal infrastructure projects. Responsibilities include assisting with engineering design and planning, providing customer service, and performing technical office and field duties related to updating, maintaining, and analyzing the Public Works and Engineering Department's Geographic Information System (GIS) and utility infrastructure data. This position coordinates and conducts research, field data collection, and condition assessments of infrastructure assets, using GIS, database, and information management tools to support capital planning and ensure compliance with regulatory requirements.

Essential Functions

Engineering Technician II -This is the full journey level in the Engineering Technician series. Employees within this class are distinguished from the Engineering Technician I By the performance of the full range of duties as assigned including the moderately complex duties of drafting, office and field engineering work. Employees at this level receive only occasional instruction or assistance as new or unusual situations arise, and are fully aware of the operating procedures and policies of the work unit. This class is flexibly staffed and is normally filled by advancement from the I level, or when filled from the outside, requires previous work experience.

ESSENTIAL FUNCTIONS:Incumbent must have the ability to:

• Review and process tract maps, parcel maps, of line adjustments, grants of easement, and street right-of-ways for recordation.
• Verify fulfillment of conditions of approval for new subdivisions; perform on-site inspections to verify survey monuments related to parcel maps and lot line adjustments.
• Prepare and draft technical engineering plans for construction of streets, alleys, storm drains, water lines, and other public improvements.
• Provide public assistance at counter and over the telephone.
• Prepare quantity and cost estimates for engineering projects.
• Maintain a variety of maps and records including tract maps, parcel maps, lot line adjustments, easements, street and address changes.
• Review engineering plans to determine appropriate layout of construction projects.
• Perform on-site inspections to obtain information; determine angles and set grade stakes, hubs, turning points and benchmarks using appropriate surveying techniques; locate and measure boundary lines, right-of-ways, and land grades.
• Make and check mathematical calculations related to surveying, drafting and basic engineering.
• Maintain accurate survey records in the form of field notes and sketches.
• Participate in a variety of engineering design and planning work related to municipal engineering projects.
• Answer questions and provide information to the public concerning engineering activities.
• Assist in development and maintenance of the record keeping and filing systems.
• Prepare, assemble and distribute copies of maps, charts and blueprints.
• Answer questions and provide information to the public concerning engineering activities.
• Perform any other tasks or functions deemed necessary to the daily operations of the employer.

EXPERIENCE AND TRAINING GUIDELINES: A combination of experience and training that would likely provide the required knowledge and abilities is qualifying. The employee must have knowledge of:

Engineering Technician II: In addition the qualifications of Engineering Technician I, knowledge of:

• Terminology, methods, practices and techniques of drafting.
• Trigonometry as applied to the computation of angles, areas, distances and traverses.
• Elementary surveying techniques and practices.
• Engineering maps and records.

• Perform moderately complex engineering and mathematic calculations with speed and accuracy.
• Understand and follow written instructions and sketches.
• Use and care for drafting, surveying, and mechanical instruments and tools.
• Work independently in the absence of supervision.

The City of Fontana has a flexible benefits plan. This plan allows for employees to select benefits based upon their individual needs. Full-time and Classified Part-time employees are eligible for benefits.

Please to view our excellent employee benefit options.

• 
  
  
• High School graduate or equivalent
  
  
• Some college
  
  
• Trade school graduate or Apprenticeship
  
  
• Associate's degree in related field
  
  
• Bachelor's degree in related field
  
  
• Bachelor's degree or higher in non-related field
  
  
• Equivalent to Bachelor's degree in related field
  
  
• Master's degree or higher in related field
  
  
• None of the above
  
  

• 
  
  
• No experience
  
  
• Less than one (1) year.
  
  
• One (1) year or more year(s) but less than two (2) years.
  
  
• Two (2) or more years but less than four (4) years.
  
  
• Four (4) or more years but less than six (6) years.
  
  
• Six (6) years or more but, less than eight (8) years.
  
  

Required Question

*At Securian Financial the internal position title is Infrastructure Dir."

Mission

"To lead the engineering discipline that ensures Securian's technology platforms and cloud services are built and operated with uncompromising resilience, performance, and quality. This role drives the design and automation of fault-tolerant, high-availability architectures across AWS, Azure, and GCP-ensuring the enterprise meets resiliency, scalability, and efficiency expectations at every layer of technology."

Positioning

The Director of Resilience Engineering and Quality Leader is both a strategic peer and technical counterpart to the Infrastructure & Reliability Engineering Leader.

This role provides bench depth and succession coverage for REO's most technically complex domains while driving innovation in reliability, resilience, and performance practices.

• Strategic influence: Shapes cloud reliability, quality engineering, and resilience strategy across REO and Architecture domains.

• Operational authority: Leads Sr. Managers and Managers who own the execution of quality, resilience, and performance engineering capabilities.

• Enterprise collaboration: Works hand-in-hand with Technology, Solution, Business, Data, and Enterprise Architects to embed reliability and resilience as core architecture principles.

Scope of Accountability

Resilience Engineering & Cloud Reliability

• Architect and validate fault-tolerant, regionally resilient architectures across AWS, Azure, and GCP.

• Own resilience automation, chaos testing, and IaC-based recovery validation.

• Lead cross-cloud reliability design reviews and failure-mode analyses for critical systems.

Quality Engineering & Continuous Testing

• Define enterprise-wide quality engineering strategy integrated into CI/CD pipelines.

• Drive automation-first testing (functional, non-functional, performance, resilience).

• Embed observability-driven quality validation and contract testing across services.

Performance, Capacity & Efficiency Engineering

• Oversee predictive capacity planning, scaling automation, and cost/efficiency optimization (FinOps/GreenOps).

• Partner with Platform & Infrastructure teams to tune performance across application and platform layers.

• Measure and report on performance SLIs/SLAs aligned to REO's Reliability Metrics framework.

Cross-Domain Architecture Collaboration

• Partner with Enterprise Architects to codify resilience and reliability standards in technology blueprints.

• Collaborate with Technology & Solution Architects to design service reliability into delivery architectures.

• Engage Data Architects for data resilience, replication, and pipeline reliability.

• Work with Business Architects to align technical reliability goals with critical business outcomes.

Leadership & Talent Development

• Lead a team of Sr. Managers and Managers, fostering a high-performance, hands-on engineering culture.

• Build and mentor top-tier technical talent in cloud reliability, resilience, and quality automation.

• Partner with HR and REO Enablement to develop succession plans and technical competency frameworks.

Core Technical Competencies

• AWS (primary) - Multi-account design, HA architecture, region failover, resilience automation, Terraform/CDK/CloudFormation.

• Azure & GCP (secondary) - Compute, networking, and reliability constructs; hybrid cloud design and failover integration.

• Infrastructure as Code (IaC) - Deep proficiency in Terraform, policy-as-code (OPA/Conftest), drift detection, pipeline integration.

• Reliability & Chaos Engineering - AWS Fault Injection Simulator, Gremlin, steady-state hypothesis design.

• Observability & Quality Automation - OpenTelemetry, Prometheus, CloudWatch, K6, Gatling; CI/CD quality gates and dashboards.

• Performance Engineering - Load, stress, and soak testing automation; performance profiling and SLO alignment.

• Disaster Recovery Automation - Cross-region orchestration, IaC-driven DR runs, replication validation.

• FinOps/GreenOps - Cloud cost and efficiency automation, carbon-aware scaling policies.

Leadership Competencies

• Strategic Technical Leadership: Operates at the intersection of deep engineering and executive strategy.

• Multi-Domain Collaborator: Integrates reliability and resilience across architecture, operations, and business domains.

• Talent Multiplier: Develops and empowers senior managers, fostering engineering mastery and innovation.

• Credible Technical Authority: Trusted peer to Infrastructure & Reliability Engineering; capable of leading architecture reviews and executive briefings.

• Change Champion: Drives transformation of reliability practices across platforms, pipelines, and teams.

Qualifications & Experience

• 12+ years in cloud engineering, reliability, or platform leadership roles.

• 5+ years leading Sr. Managers/Managers in technical domains.

• Proven expertise across AWS, with working knowledge of Azure and GCP.

• Experience with multi-cloud governance, DR design, IaC at scale, and reliability automation.

• Strong understanding of observability, SRE principles, and REO/ITIL-aligned reliability frameworks.

• Certifications:

  • Required: AWS Certified Solutions Architect - Professional

  • Preferred: AWS DevOps Engineer, Azure Solutions Architect Expert, Google Professional Cloud Architect

Success Metrics

• 99.9% availability maintained for Tier-1 workloads.

• 100% coverage of DR automation for Tier-1 services.

• 25% annual increase in automated quality/test coverage.

• 15% annual improvement in resource efficiency and cost performance.

• Documented resilience participation across all enterprise architecture blueprints.

• Positive "technical peer readiness" and succession rating from Head of REO.

Summary Value Proposition

This Director role blends deep AWS reliability engineering expertise, multi-cloud technical breadth, and leadership scale.

It ensures REO maintains both technical depth and leadership redundancy, and it strengthens the bridge between engineering execution and enterprise architecture alignment.

#LI-hybrid **This position will be in a hybrid working arrangement.**

Securian Financial believes in hybrid work as an integral part of our culture. Associates get the benefit of working both virtually and in our offices. If you're in a commutable distance (90 minutes), you'll join us 3 days each week in our offices to collaborate and build relationships. Our policy allows flexibility for the reality of business and personal schedules.

The estimated base pay range for this job is:

Pay may vary depending on job-related factors and individual experience, skills, knowledge, etc. More information on base pay and incentive pay (if applicable) can be discussed with a member of the Securian Financial Talent Acquisition team.

Be you. With us. At Securian Financial, we understand that attracting top talent means offering more than just a job - it means providing a rewarding and fulfilling career. As a valued member of our high-performing team, we want you to connect with your work, your relationships and your community. Enjoy our comprehensive range of benefits designed to enhance your professional growth, well-being and work-life balance, including the advantages listed here:

Paid time off:

• We want you to take time off for what matters most to you. Our PTO program provides flexibility for associates to take meaningful time away from work to relax, recharge and spend time doing what's important to them. And Securian Financial rewards associates for their service by providing additional PTO the longer you stay at Securian.

• Leave programs: Securian's flexible leave programs allow time off from work for parental leave, caregiver leave for family members, bereavement and military leave.

• Holidays: Securian provides nine company paid holidays.

Company-funded pension plan and a 401(k) retirement plan: Share in the success of our company. Securian's 401(k) company contribution is tied to our performance up to 10 percent of eligible earnings, with a target of 5 percent. The amount is based on company results compared to goals related to earnings, sales and service.

Health insurance: From the first day of employment, associates and their eligible family members - including spouses, domestic partners and children - are eligible for medical, dental and vision coverage.

Volunteer time: We know the importance of community. Through company-sponsored events, volunteer paid time off, a dollar-for-dollar matching gift program and more, we encourage you to support organizations important to you.

Associate Resource Groups: Build connections, be yourself and develop meaningful relationships at work through associate-led ARGs. Dedicated groups focus on a variety of interests and affinities, including:

• Mental Wellness and Disability

• Pride at Securian Financial

• Securian Young Professionals Network

• Securian Multicultural Network

• Securian Women and Allies Network

• Servicemember Associate Resource Group

For more information regarding Securian's benefits, please review our Benefits page.

This information is not intended to explain all the provisions of coverage available under these plans. In all cases, the plan document dictates coverage and provisions.

Securian Financial Group, Inc. does not discriminate based on race, color, religion, national origin, sex, gender, gender identity, sexual orientation, age, marital or familial status, pregnancy, disability, genetic information, political affiliation, veteran status, status in regard to public assistance or any other protected status. If you are a job seeker with a disability and require an accommodation to apply for one of our jobs, please contact us by email at , by telephone (voice), or 711 (Relay/TTY).

To view our privacy statement click here

To view our legal statement click here

L3Harris is actively seeking a Senior Specialsit, Project Engineer (PE) to support the bid and execution of complex system integration efforts on airborne platforms.

In this role, the candidate will be responsible for ensuring the program technical development is performed to meet all technical, cost, and schedule requirements.

This includes but is not limited to: Planning and execution of program activities Documenting and approval of program plans Ensuring life-cycle process adherence Risk identification and management Customer and Senior Leadership interaction Overall program coordination during the program lifecycle The individual Engineering Functional Task Leaders (Systems Engineering, Software Engineering, Aeronautical Engineering, Specialty Engineering, Logistic Engineering, Technical Publications, etc.) report to and take direction from the Project Engineer for the assigned program operations.

In addition, Project Engineers are the key technical interfaces to Customers and have the responsibility to interact with Customers at every phase of the program lifecycle.

The Project Engineering candidate will also help with the capture of new business and development of bid estimates and technical responses.

Essential Functions: Provide engineering leadership to a cross-functional team to resolve design and integration challenges Lead the engineering team to create and deliver formal Design Review presentations including SRR, PDR, CDR, and TRR Track Engineering Performance Metrics and brief program status on a monthly basis to senior engineering leadership Track cost and schedule execution and be able to explain any variances and the path to get back to program targets Provide leadership for cross-functional teams in bid/proposal and program planning including BOE generation and Technical Volume responses to customer ROMs, RFIs, and RFPs Setup bid tools used during bid generation and track required completion status.

Ensure program execution and Bid/Proposal development are in accordance with engineering processes and policies Ensure compliance with performance, reliability, and safety standards Ability to travel as needed based on business demands Qualifications: Bachelor’s Degree and minimum 6 years of prior relevant experience.

Graduate Degree and a minimum of 4 years of prior related experience.

In lieu of a degree, minimum of 10 years of prior related experience.

Experience in program planning, guidance, and engineering execution within scope, schedule, and budget.

Experience in Bid and Proposal development Experience in one of the following disciplines: Aero Engineering (Mechanical, Electrical, Flight Sciences) Software/Hardware Engineering Systems Engineering (including Test Engineering) Project Engineering An active DoD Secret Security Clearance which requires U.S.

Citizenship.

Preferred Additional Skills: Demonstrated experience in leadership by being a Task Leader, IPT Leader, and/or Functional Manager, or other similar leadership roles Experience understanding of engineering processes and policies Demonstrated experience in communicating with internal and external Customer stakeholders L3Harris Technologies is proud to be an Equal Opportunity Employer.

L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination.

All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws.

L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law.

Please be aware many of our positions require the ability to obtain a security clearance.

Security clearances may only be granted to U.S.

citizens.

In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information.

By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions.

L3Harris Technologies is an E-Verify Employer.

Please click here for the E-Verify Poster in English or Spanish .

For information regarding your Right To Work, please click here for English or Spanish .

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