Engineering Geology Jobs in Ca

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.

Within our Ads Performance and Ads Delivery teams, we connect the dots between what Pinners aspire to do and the products our advertising partners offer-building personalized, discovery-driven experiences that help people create a life they love. Pinterest is just over 4,000 employees globally, which means our teams stay small, high-ownership, and fast-moving, with hands-on access to an exceptional vault of data and the chance to build and evolve large-scale recommendation and ranking systems at real-world scale.

We're hiring multipleStaff Machine Learning Engineersacross ourAds Machine Learningorg withinMonetization Engineering. In this role, you'll lead innovation across core applied ML and marketplace technologies that power our ads ecosystem-advancing our ads ranking stack, building the next generation of scalable ads retrieval models, and improving shopping discovery for millions of users. You'll also help shape the evolution of the Pinterest marketplace by designing systems and experiments that improve the ads delivery funnel, inform the utility function, and influence auction mechanisms and ad allocation-using deep analysis of marketplace dynamics to unlock new insights. Overall, this is a high-impact opportunity to define what great looks like for Pinterest Shopping Ads, directly improving both user experience and advertiser outcomes in a uniquely discovery-first marketplace.

What you'll do:

• 
  
• Design features and build large-scale machine learning models to improve user ads action prediction with low latency
  
• Drive innovation in personalized Shopping Ads recommendations through advanced modeling
  
• Develop new methods for inferring user interests from online and offline activity
  
• Mine text, visual, user signals to better understand user intention
  
• Leverage multimodal signals (text, visual, user) to better understand user intent
  
• Collaborate with product and sales teams to design and implement new ad products
  
• Partner cross-functionally with product, sales, data science, and engineering teams to design and improve user journey and optimize ads performance across all stages of retrieval and ranking
  
• Build and improve backend systems and statistical models that underlay the marketplace to maximize value for Pinners, Partners and Pinterest.
  
• Define and implement experiments to understand long term Marketplace effects
  
• Develop strategies to balance long and short term business objectives.
  
• Drive multi-functional collaboration with peers and partners across the company to improve knowledge of marketplace design and operations.
  

What we're looking for:

• 
  
• Degree in Computer Science, Machine Learning, Statistics or related field
  
• Experience building production machine learning systems at scale, data mining, search, recommendations, and/or natural language processing
  
• Experience leading projects and mentoring team members
  
• Strong mathematical skills with knowledge of statistical methods
  
• Excellent written and verbal communication skills and strong cross-functional collaboration
  
• Background in computational advertising is a plus, but not required
  

This position is not eligible for relocation assistance.

#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 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.

Pinterest helps Pinners discover and do what they love. Homefeed is literally the first surface Pinners see when they open the app and so it forms the front-and-center of the Pinterest experience for 400M+ pinners every month. The Homefeed Relevance team's mission is to recommend inspiring & engaging pins for all our Pinners. We are looking for a Tech Lead Architect who can drive cross-team engineering efforts for shipping ML-driven product experiences to our pinners. You'll have the opportunity to work on various innovative projects of new product experiences, build large-scale low-latency systems and state-of-the-art machine learning models, and deliver great impact to our pinners and business metrics.

What you'll do:

• 
  
• Improve relevance and the user experience on Homefeed
  
• Work on state-of-the-art large-scale applied machine learning projects
  
• Improve the efficiency and reliability of large-scale data processing and ML inference pipeline
  
• Improve our engineering systems to improve the latency, capacity, stability and reduce infra cost
  

What we're looking for:

• 
  
• Languages: Python, Java
  
• Machine Learning: PyTorch, Tensorflow
  
• Big data processing: Spark, Hive, MapReduce
  
• 7+ years experience with Recommender system or User modeling, implementing production ML systems at scale
  
• 7+ years experience with large scale distributed backend service
  
• Experience in working in Deep learning and Generative AI models
  
• Experience in closely collaborating with product managers / designers to ship ML-driven user-facing product
  
• Bachelors in computer science or equivalent experience
  

Relocation Statement:

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

In-Office Requirement Statement:

• 
  
• We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
  
• This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.
  

#LI-REMOTE

#LI-DM57

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:

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 an Avionics Mechanical Engineer at Reliable Robotics, you will be a part of the Vehicle Design and Integration team and will report to the Vehicle Design and Integration Manager. This team is a small group of highly motivated people designing, testing, and flying advanced mechanical systems. The harness engineer is a very cross-functional role at the convergence of the avionics, mechanical, integration, and production teams, with significant hands-on work designing, building, integrating, and testing our harnesses, enclosures, and mounting hardware; expect to broaden your design and application experience. This position will be located at our facility in Mountain View, California.

Responsibilities

In your role as Avionics Mechanical Engineer you will work with the avionics, mechanical, and integration teams to define the hardware interfaces, design the detailed harnesses including definition of the harness routing, design and test enclosures for environmental protection, and design the structural mounts for securing the hardware in the airplane. You'll have the opportunity to design, install, and test your hardware on a remotely operated aircraft, and you'll be an instrumental part of how our hardware teams come together on the airplane.

Basic Success Criteria

• BS in Mechanical Engineering, Electrical Engineering, or equivalent industry experience

• 2+ years experience in mechanical or avionics hardware design

• Ability to route harnessing (both in CAD and physically in the airplane) in a strategic manner

• Experience working with connectors, backshells, EMI shielding, and cable/wire protection methods

• Experience designing and analyzing structural mounts

• A love of spatial packaging

• Be logical, inquisitive, and eager to both teach and learn

Preferred Criteria

• 4+ years experience in harness design and avionics packaging

• Experience performing design trades for and detail design of aerospace flight harnesses

• Experience with NX routing and Capital Harness Designer

• Experience designing avionics enclosures

• Experience working on certification-path aviation development projects

• Experience testing hardware to DO-160 requirements

The position will be located at our facility in Mountain View, California. Must be willing to travel up to 10% of the time.

The estimated salary range for this position is $118,000 to $170,000/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: $118K - $170K

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.

Team & Mission

The Measurement Products team helps advertisers measure the incremental impact of their Pinterest campaigns and make informed investment decisions. We own and operate core measurement products including Pinterest Conversion Lift (PCL) Studies and Brand Lift Studies.

We build the platform these products run on and are evolving it into our nextgen Measurement Hub, an extensible platform that enables faster product iteration, onboarding of new study types, and deeper integration with Pinterest's enterprise data and experimentation systems. Our mission is to measure true incremental impact and translate it into actionable insights for advertisers and partners.

Role Summary

We're seeking a Staff Engineer to lead the architecture and technical direction of the measurement platform behind how advertisers understand the impact of their investment on Pinterest. You'll drive endtoend platform evolution (pipelines, services, correctness, reliability), partner closely with Product and Data Science, and raise the bar on rigor, trust, and operational excellence in ads measurement.

• 
  
• Own endtoend architecture and delivery of features for lift measurement products, from design and implementation through rollout and ongoing reliability.
  
• Design, build, and optimize largescale data pipelines that power study setup, experiment execution, and results computation.
  
• Drive AI enablement across the team by building the supporting tooling and processes (CI checks, test strategy, templates), coaching engineers, and ensuring adoption results in sustained improvements to delivery speed and system quality.
  
• Translate measurement methodology into production systems: partner with Data Science to operationalize study design requirements into pipelines, services, tooling, and guardrails.
  
• Build "rigor by default" mechanisms: automated data validation, randomization/holdout integrity checks, imbalance diagnostics, and continuous verification/backtesting.
  
• Raise the bar on data quality and trust: define SLAs, build monitoring and anomaly detection, and lead rootcause analysis for pipeline and study issues.
  
• Mentor and up level engineers, driving strong technical execution and crossfunctional collaboration.
  

• 
  
• BS+ in Computer Science (or related field) or equivalent practical experience.
  
• 8+ years of professional software engineering experience, with a focus on dataintensive systems.
  
• Strong proficiency building and operating largescale data pipelines (batch and/or streaming) using Java/Scala/Kotlin or Python, plus SQL.
  
• Experience designing reliable services and APIs, with solid foundations in distributed systems, data modeling, and performance optimization.
  
• Demonstrated ability to transform a team's engineering workflow using AI-from pilot to broad adoption-through tooling, enablement, and change leadership, with clear metrics (cycle time, defect rate, on-call load, incident rate).
  
• Experience in AdTech and measurement products (e.g., conversion lift, brand lift) or adjacent experimentation/analytics platforms.
  
• Working knowledge of experimentation and causal measurement fundamentals (randomization, holdouts, confounders, significance, power).
  
• Practical experience with backtesting, controlled rollouts, and continuous verification for correctness in measurement/analytics systems.
  
• Demonstrated ability to lead large crossfunctional initiatives, drive alignment, and deliver measurable impact through technical leadership.
  

In-Office Requirement Statement:

• 
  
• We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role
  

Relocation Statement:

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

#LI-REMOTE

#LI-KK6

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:

Title - Senior Mechanical Design Engineer

Location – Oakland CA

Duration – Fulltime

Key Responsibilities:

• As a Senior Mechanical Design Engineer (MEP) at Interface, you will be taking ownership as a discipline lead on multiple projects. Your duties will include (but may not be limited to):
• HVAC system selection, engineering & design.
• Preparation of HVAC drawings, analysis, specifications, and calculations.
• Demonstrate excellent communication skills.
• Provide oversight of HVAC support staff.
• Provide construction administration & site observations related to your projects.
• Provide exemplary service to team members and clients.

Required:

• BS/Mechanical Engineering, or equivalent experience.
• 7+ years' MEP/AEC design and consulting experience.
• Advanced knowledge of HVAC systems in public safety, educational, and commercial sectors.
• Knowledge of industry codes and standards
• Demonstrated interaction with clients in meetings or presentations

Preferred:

• A Professional Engineering License
• LEED Accreditation
• Working IES-VE knowledge

What You'll Love

• Employee Ownership: Build equity through our Employee Stock Ownership Plan (ESOP)
• Robust Benefits: 401(k), medical/dental/vision, life & disability insurance, transportation benefits...and more!
• Generous Time Off: PTO, paid holidays, and company closure to clients from Christmas to New Year's
• Purpose-Driven Culture: Paid volunteer time and a commitment to social equity
• Career Development: Work alongside industry leaders and access continuous learning opportunities

About Us:

Span Construction & Engineering, Inc. is a pioneer in state-of-the-art prefab steel construction, proudly operating as a 100% Employee Owned Company (ESOP) in the building industry. Since our inception in 1980 we’ve fostered enduring relationships as trusted advisors with our valued clients. We are the number one builder in our field. We are dedicated to providing exceptional engineering and construction services, having successfully completed over 214 million square feet of buildings to date, with ongoing projects 24/6 throughout the year.

Setting the industry standard, we prioritize safety, quality, and integrity in all our endeavors. We are inspired, challenged, and empowered to be and give our best every day, not only because we are each exceptional at what we do, but also because we are surrounded by hungry, humble and smart people.

Position Summary: 

The Senior Safety Manager is one of the most important roles in our organization. Under general direction of the Director of Safety, the Senior Safety Manager has responsibility for the development, communication, implementation, and monitoring of the health and safety programs for the entire Company. This position ensures compliance with applicable regulatory requirements and is the subject matter expert for internal and external matters relating to occupational safety and health related issues. The Senior Safety Manager assists the Director of Safety in implementing the strategic vision for health and safety for all SPAN and related entities. This position requires strong leadership skills and is the embodiment of safety as one of the Company’s Core Values.

Reasonable Accommodations Statement: 

To accomplish this job successfully, an individual must be able to perform, with or without reasonable accommodation, each essential function satisfactorily. Reasonable accommodation may be made to help enable qualified individuals with disabilities to perform the essential functions.

Essential Functions: 

Senior Safety Manager Responsibilities: 

• Prioritizes safety as the utmost importance and promotes a culture throughout the field that makes safety the primary focus for all employees at all times.

• Fosters and enforces a culture of safety ensuring compliance with federal, state, and local safety laws and regulations.

• Manages safety incentive programs which reward targeted behaviors and results.

• Leads development of and clearly articulates the Company’s safety vision, objectives, strategies, policies, and procedures in order to build a safety culture dedicated to behaviors which lead to best-in-class results.

• Ensures safety and health training meet the needs of internal and external (e.g., client and regulating entities) requirements, so staff has the safety training needed to safely perform tasks and jobs.

• Provides proactive leadership and assumes ownership of building a best-in-class safety culture through interactions with employees, clients, subcontractors, vendors, and inspectors.

• Anticipates problems and provides solutions.

• Shares knowledge with, and provides training to, all levels of management, field staff, preconstruction teams, and project teams.

• Creates an environment of learning, mentoring, and empowerment in order to promote employee engagement.

• Manages hazard assessment activities by: (1) conducting and/or supervising safety inspections; and (2) analyzing inspection and incident data to identify opportunities to develop preventative and corrective measures.

• Presents and executes worksite-specific plans.

• Develops site-specific emergency evacuation plans and other ERPs.

• Research construction sites (e.g., reviewing blueprints, ventilation systems, lighting, materials, terrain, environment, etc.) to identify actual and potential hazards.

• Inspects safety equipment and recommends replacements.

• Conducts investigations, e.g., root cause analyses, accident investigations, witness statements, and other investigations.

• Uses logic and reasoning to identify the strengths and weaknesses of alternative solutions and conclusions, and monitors results to make improvements or take corrective action.

• Identifies opportunities to minimize workplace injuries, accidents, and health problems.

• Leads and manages the safety staff, and develops a highly performing, customer-oriented work team through hiring, motivating, coaching, appraising, rewarding, and disciplining.

• Addresses complaints and resolves issues related to safety team members.

• Reviews safety training and recommends revisions, improvements, and updates.

• Leads incident investigations.

• Consults building codes, governmental regulations, and other emergency response agencies.

• Reviews accidents and incidents reported by employees and visitors.

• Reports workplace injuries to Human Resources and Workers’ Compensation Administrator for appropriate processing of workers’ compensation claims and to ensure interactive process with injured employees occurs.

• Conducts employee training on applicable safety standards.

• Inspects safety equipment and recommends replacement or repairs where needed.

• Participates in the Safety Committee.

Other Responsibilities and Duties:

• Fully understands and shares a passion for the Company’s core values, mission, and objectives.

• Builds positive and productive working relationships with clients to ensure client needs are met or exceeded.

• Provides best-in-class customer service to internal and external clients by addressing issues, questions, or concerns in a timely and proficient manner.

• Endeavors to stay up to date with emerging technologies and tends in the construction and safety fields.

• Projects a positive image of the organization to employees, clients, industry, and community.

• Maintains a “value added” approach to all aspects and phases of construction projects.

• Participates fully as a team member in building an atmosphere of openness, honesty, respect, cooperation, and accountability. Is visible, approachable, accountable, and available.

• Performs other duties as required by circumstances or assigned by the Safety Director

Skills and Abilities:

Education: Bachelor’s degree in Occupational Safety & Health or related field is strongly preferred but not required. Sufficient experience may be substituted for educational background

Experience: At least 7.5 years of construction safety experience.

Experience overseeing large commercial and/or industrial projects.

Strong experience with federal, state, regional, and local laws and regulations related to the construction industry.

Computer/Technology Experience: Proficient with Microsoft Office products (e.g., Word, Excel, PowerPoint, Outlook, and Teams).

Proficient with PC, cell phone, and company communication tools (e.g., e-mail, internet, etc.)

Smartsheet experience is a plus but not required (training will be provided).

Certifications & Licenses: Must have a valid drivers’ license. Must be able to be insured on the Company’s insurance policy as a driver for the Company.

Must be willing and capable of testing and obtaining necessary certifications such as:

• OSHA 500 certification.

• Certified Safety Professional (CSP) certification.

• Construction Health and Safety Technician (CHST) certification.

• First Aid/CPR/AED certification.

Other requirements: Able to perform work at elevations in excess of 30 feet.

Able to stand, walk, climb, kneel, and lift up to 50 lbs.

Able to be in outdoor environments, including extreme weather conditions.

Able to travel extensively to project locations across the U.S. and internationally.

Able to wear required Personal Protective Equipment (PPE) at all times (hard hat, safety glasses, gloves, steel – toe boots, harness, etc.)

Bilingual (English/Spanish) preferred but not required.

Job Summary:

The Upper Body Assembly Engineer / Senior Technician is responsible for the assembly of upper body products, including dry box and refrigerated (reefer) units. This role requires strong hands-on technical expertise, thorough knowledge of assembly processes, and the ability to work effectively within a production environment to ensure quality and efficiency.

Key Responsibilities:

• Perform assembly of upper body products, including dry box and reefer units, in accordance with engineering drawings and work instructions

• Operate and maintain assembly tools and equipment safely and effectively

• Ensure proper use of materials and components during the assembly process

• Identify and report assembly issues, defects, or process improvements

• Collaborate with engineering, quality, and production teams to support continuous improvement

• Comply with all safety, quality, and production standards

Qualifications & Experience:

• Engineer or Senior Technician background in mechanical or related fields

• Proven experience in upper body assembly, preferably dry box and/or reefer products

• Strong understanding of assembly line operations, tools, and materials

• Ability to read and understand technical drawings and assembly documentation

• Bilingual proficiency in English and Chinese is highly preferred

• Strong attention to detail and ability to work independently as well as in a team environment

Work Environment:

• Manufacturing and assembly line setting

• Requires hands-on work with mechanical tools and equipment

Date Posted:

Country:

Location:

Position Role Type:

U.S. Citizen, U.S. Person, or Immigration Status Requirements:

Security Clearance Type:

Security Clearance Status:

At Raytheon, the foundation of everything we do is rooted in our values and a higher calling – to help our nation and allies defend freedoms and deter aggression. We bring the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. Our team solves tough, meaningful problems that create a safer, more secure world.

We have an on-site opportunity for an experienced Senior Embedded Software Engineer to work onsite in El Segundo, CA.

• Raytheon El Segundo, CA Location

What You Will Do:

• Supports all aspects of a software development life cycle as members of a multi-disciplined team. This would include supporting new and legacy military and commercial programs from concept and requirements, to design, development, integration, test, and potentially subsequent maintenance tasking.
• Uses and provides creative solutions to complex technical system and software integration problems.
• Works closely with Systems Engineers to design ideal solutions with the end user and operational needs in mind.
• This position may require occasional business-related travel.

Qualifications You Must Have:

• Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) AND a minimum of 5 years of prior relevant experience.
• Experience in C++ design paradigms experience on Linux, VxWorks, or other Real Time Operating Systems.
• Experience in developing, testing, and integrating real-time software applications written in C++.
• Experience in computer scripting languages such as Shell/Perl/Python.
• Active and transferable U.S. Government issued Secret security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance.

Qualifications We Prefer:

• Additional experience in coding using C, C#, Java or closely related software languages.
• Experience working in lab environments with physical hardware (e.g., test benches, simulators).
• Ability to quickly understand and navigate complex systems and established code bases.
• Experience with product development utilizing the Scrum techniques of the Agile software development process.
• Experience with DevSecOps pipeline implementation and utilization, including Static Code Analysis, Automated Build, and Automated Test techniques using continuous integration/continuous delivery with Test-Driven Development approach.
• Hands-on experience with Git for version control and GitLab for repository management.
• Ability to manage multiple priorities.
• Experienced in developing in CUDA to accelerate compute-intensive workloads on Nvidia GPUs.

What We Offer:

Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation.

Learn More & Apply Now!

Please consider the following role type definition as you apply for this role.

• Relocation Eligible – Relocation assistance available
• Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products.
• This position requires security clearance. DCSA Consolidated Adjudication Services (DCSA CAS), an agency of the Department of Defense, handles and adjudicates the security clearance process. More information about Security Clearances can be found on the US Department of State government website here:

As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote.

RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act.

Privacy Policy and Terms:

Click on this link to read the Policy and Terms

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 550 million users around the world and 300 billion ideas saved, Pinterest Machine Learning interns help 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.

As a machine learning intern at Pinterest, you'll work on tackling new challenges in machine learning and artificial intelligence. You'll conduct research that can be applied across Pinterest engineering teams and engage in external collaborations and mentoring, while also performing research in any of the following areas: image recognition, user modeling, recommender systems,search, ads, ranking, natural language processing, neural networks, personalization, graph representation learning, and big data analytics.

Note to applicants:

By applying to this role, you will be considered for multiple intern roles open across our various ML teams. Please only apply once within the USA or Canada as multiple applications may delay our recruitment process.

Internships are 12 weeks paid, with fixed start dates in May or June to accommodate varying school calendars. Depending on the team, our summer internships will be located either remote or hybrid in San Francisco, Palo Alto, New York or Seattle offices.

We offer 2 internship start dates:

• 
  
• May 18, 2026 - August 7, 2026
  
• June 15, 2026 - September 4, 2026
  

What you'll do:

• 
  
• Lead your own project start to finish to contribute in cutting-edge research in machine learning and artificial intelligence that can be applied to Pinterest problems
  
• Collect, analyze, and synthesize findings from data and build intelligent data-driven models
  
• Write clean, efficient, and sustainable code
  
• Use machine learning, natural language processing, and graph analysis to solve modeling and ranking problems across discovery, ads and search
  
• Scope and independently solve moderately complex problems
  
• Demonstrate accountability for the quality and completion of your tasks and projects, collaborating with your team and seeking guidance as needed.
  

What we're looking for:

• 
  
• Working towards a PhD in Computer Science, ML, NLP, Statistics, Information Sciences or related field
  
• Proficiency in at least one systems language (Java, C++, Python) or one ML framework (Tensorflow, Pytorch, MLFlow)
  
• Experience with big data technologies (e.g., Hadoop/Spark) and scalable realtime systems that process stream data
  
• Experience in research and in solving analytical problems
  
• Strong communicator and team player with the ability to find solutions for open-ended problems.
  
• Preferred Qualifications:
  
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  • Publications in machine learning, AI, data science, data analytics, statistics, or related technical fields
    
  • Interest in research and in applying ML to impactful real-world problems on the Pinterest product
    
  
  
  

Why Intern at Pinterest?

• 
  
• Meaningful Work: Contribute to projects that impact millions of users worldwide.
  
• Mentorship: Learn from and be guided by experienced engineers and researchers in the field.
  
• Growth and Development: Participate in professional development workshops and networking events to build your skills and connections.
  

In-Office Requirement Statement:

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• We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection
  
• This role may require you to be located near an office for in-person collaboration, and therefore may need to be located a commutable distance from one of our Pinterest offices.
  
  

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. 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.

US based applicants only

The salary for this position is $12,100 monthly.

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Our Commitment to Inclusion:

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 Sr. Flight Test Instrumentation Engineer at Reliable Robotics, you will be a part of the Flight Test and Integration team. The Flight Test and Integration team is responsible for multiple installation and test efforts at Reliable Robotics. The team regularly ensures the proper function of mechanical, electrical, and flight control systems onboard the aircraft. In addition, this team has ownership over all ground and flight test operations within the organization. The team is composed of individuals familiar with experience developing experimental and certification products.

Responsibilities

In your role as Sr. Flight Test Instrumentation Engineer, you will assist in the design and installation of modified flight control systems, throughout the development of a remotely operated autoflight system. You will ensure the proper build-up of functions and capabilities, beginning in the lab and ending on the vehicle. You will be expected to verify the end-to-end functionality of the system and ensure the ability to assess all desired test requirements. This will require engaging with many teams throughout the organization and having a firm understanding of the vehicle's capabilities. As part of the flight test campaigns, you'll act as the responsible engineer for the vehicle and often as test director.

Basic Success Criteria

• Bachelor's Degree of Science or Engineering in Mechanical, Electrical, Aerospace, or related discipline

• 7+ years of integration and test experience in a professional environment

• Demonstrated ability to work with hardware

• Experience leading test campaigns on the ground or in flight

• Demonstrated ability to lead safety critical tests and operations

Preferred Criteria

• Experience assembling components in a production environment

• Experience assembling prototype hardware

• Experience manufacturing mechanical and electrical (harnessing) sub-assemblies

• Experience with computer science languages (Python or similar)

Flight Test Integration Engineers at Reliable Robotics will have an opportunity to deliver a first-of-its-kind gate-to-gate autoflight system for commercial use. Let's make it happen!

Must be willing to travel up to 10% of the time.

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: $133K - $222K