Engineering Journal Impact Factor Jobs in Ca

At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.

Job Description

The principal focus is to drive revenue growth through the sale and promotion of partner solutions, working closely with Marketing, Industry Verticals, Business Lines, and Strategic Partner Managers. This role focuses on demand generation, deal origination, and pipeline development by aligning internal teams with partner field sales and leveraging joint go-to-market initiatives. Responsibilities include managing the full deal lifecycle, utilizing partner funding programs, and ensuring accurate deal registration and compliance. The role also supports joint account planning, co-develops assets and training, and fosters strong partner relationships to accelerate opportunity progression. Key success metrics include partner-related bookings, pipeline growth, cloud/data consumption, and incentive fund utilization.

Drive Partner field sales relationships as the regional POC for the partner to engage and navigate Capgemini. Demand Generation and Sales Enablement with the Capgemini account base by leveraging the partner channel within a specified geography. Drives partner influence revenue, responsible for individual deals and registrations. Takes the lead for hyperscaler funding claims, working with all stakeholders to initiate and progress the claims.

Your Skills & Experience

• 12 plus years of experience in semiconductor services sales, with a focus on ASIC chip design or engineering services.
• Proven success in managing complex sales pursuits and closing deals of $8MM+ annually.
• Strong technical foundation with a degree in Electrical or Computer Engineering (or equivalent experience).
• Deep understanding of the semiconductor ecosystem, including foundries, EDA tools, and IP providers.
• Background in ASIC design or semiconductor R&D is highly desirable.
• Exceptional communication and negotiation skills, with experience influencing C-level executives.
• Ability to navigate complex client organizations and build relationships across engineering and procurement.
• A strong network within the semiconductor industry and a passion for driving innovation.

The base compensation range for this role in the posted location is ( $105,000 - $220,000/year)

Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.

The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.

These may include, but are not limited to Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.

It is not typical for candidates to be hired at or near the top of the posted compensation range.

In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.

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:
  
  • 
    
  • 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:

• 
  
• 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.

#LI-HYBRID
#LI-EB1

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.

The Content Understanding team builds machine learning models that "read" Pinterest content-images, text, and video-to produce high-quality semantic signals (e.g., embeddings, localization, quality/safety labels). These signals power relevance and retrieval for Homefeed, Search, Related Pins, and Ads, and also support integrity use cases like spam and low-quality detection. We work end-to-end: from data and labeling strategy, to model training and evaluation, to low-latency serving and monitoring at Pinterest scale. The role is ideal for a senior modeler who also enjoys developing, productionizing models and leading technical direction across teams.

What you'll do:

• 
  
• Lead modeling strategy for content understanding (vision, NLP, multimodal), including architecture selection, training approach, and evaluation methodology.
  
• Design and ship production models that generate content signals such as embeddings and classifications used across multiple product surfaces.
  
• Own the full ML lifecycle: data/labeling strategy (human labels + weak supervision), training pipelines, offline evaluation, online experimentation, deployment, and monitoring/retraining.
  
• Partner with infra/platform teams to ensure scalable, reliable training/serving (latency, cost, observability, rollout safety).
  
• Collaborate with signal-consuming teams (ranking, retrieval, integrity, ads) to define signal contracts, adoption patterns, and success metrics.
  
• Provide technical leadership through design reviews, mentoring, and raising the quality bar for modeling and ML engineering practices.
  

What we're looking for:

• 
  
• M.S/ PhD degree in Computer Science, Statistics or related field.
  
• Significant industry experience building software and ML pipelines/systems, including technical leadership (project/tech lead or equivalent).
  
• Strong proficiency in Python and at least one ML stack such as PyTorch / TensorFlow, plus solid software engineering fundamentals.
  
• Proven experience training and deploying ML models to production, including model versioning, rollouts, monitoring, and retraining strategies.
  
• Deep hands-on experience in content understanding domains, such as:
  
  • 
    
  • computer vision (classification, detection, representation learning),
    
  • NLP (text classification, entity/topic modeling),
    
  • multimodal / embedding models (e.g., transformer-based representations).
    
  
  
• Experience working with large-scale datasets and distributed compute (e.g., Spark-like ecosystems, distributed training, GPU environments).
  
• Strong applied skills in evaluation and experimentation: defining metrics, offline/online alignment, A/B testing, debugging regressions, and model quality analysis.
  
• Demonstrated ability to influence across teams and drive ambiguous problem areas to measurable outcomes.
  

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-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:

This position will be open until filled

To perform professional and technical engineering work in an assigned area such as plan and development review, contract administration and design; and to provide technical staff assistance to higher level engineering staff.

Position Snapshot/A Day in the Life:

This Associate Engineer position will be within the Traffic Division of the Public Works/Engineering Department. With a team of 11 (7 of whom are primarily responsible for signal operations and maintenance), we are responsible for overseeing the City's transportation system, including supporting Capital Improvements Projects, Land Development projects, Street Maintenance, Planning, and others.

Under the direction of a Senior Engineer or City Traffic Engineer, you will primarily be responsible for reviewing private development and capital improvement project related traffic studies, identifying impacts and deficiencies, and determining the most appropriate improvements and design features needed. Other day-to-day duties will also involve reviewing and preparing signing/striping plans and traffic control plans, investigating and responding to concerns from the general public, and participating in long-range planning activities. You may also be asked to help work on special projects and grant pursuits, preparing staff reports, participating in interagency coordination efforts, preparing RFP's/RFQ's, reviewing and processing proposals/contracts/traffic plans, and conducting various meetings.

Distinguishing Characteristics: This is the journey level class within the Engineering series. Employees within this class are distinguished from the Assistant Civil Engineer by the performance of the full range of duties as assigned. 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 within the work unit. Positions in this class are flexibly staffed and may be filled by advancement from the Assistant level.

Supervision Received and Exercised: Receives direction from higher level engineering staff and may exercise technical supervision over less experienced staff within the work unit and technical or functional supervision over staff within the Department.

The incumbent must have the ability to:

• Review and check residential and commercial building plans or plans related to structures such as streets, sidewalks, gutters and other off-site construction; check plans for conformance with regulations regarding line, grade, size, elevation and location of structures; check calculations
• Maintain records of all plans and contract documents.
• Prepare progress reports on projects under construction; maintain records of changes and field notes.
• Investigate field problems affecting property owners, contractors and maintenance operations.
• Coordinate assigned activities with consultants, engineers, developers, contractors, other city departments and divisions, and with outside agencies.
• Develop plans, specifications and other contract documents.
• Provide technical and professional engineering support services relative to assigned areas of responsibility.
• Prepare special engineering studies and reports; perform special assignments on engineering problems as necessary.
• Plan, prepare and design a variety of engineering projects such as roads, bridges, structures and hydraulics.
• Calculate the quantity, quality and cost of materials used for various projects.
• Review engineering calculations of other engineers or engineering technicians.
• Prepare plans and specifications, maps, deeds and legal descriptions.
• Review plans for traffic signals, traffic signing, and traffic striping for conformance with City policies and State and Federal requirements.
• Plan, prepare, and design a variety of engineering projects, such as traffic signals, traffic striping, and traffic signing.
• Review all permits involving work in public streets; review any and all traffic control plans required due to work in streets.
• Prepare traffic control plans and requirements.
• Communicate clearly and concisely, both orally and in writing.
• Establish and maintain cooperative working relationships with those contacted in the course of work.
• Perform and other tasks or functions that may be deemed necessary to the daily operations of the employer.
  
  

THE ABOVE LIST OF ESSENTIAL FUNCTIONS IS NOT EXHAUSTIVE AND MAY BE SUPPLEMENTED AS NECESSARY BY THE EMPLOYER.

WORKING CONDITIONS:In the performance of daily activities, this position requires prolonged sitting, standing, walking, reaching, twisting, turning, kneeling, and bending; the ability to push, pull, drag and/or lift up to 25 pounds; normal manual dexterity and hand/eye coordination; repetitive hand and wrist movement using a computer keyboard and mouse; corrected vision to normal range; acute hearing; written and oral communication; use of standard office equipment such as computers, telephones, copiers, calculators and facsimiles; frequent contact with other staff and the public; may be exposed to severe weather conditions such as high wind, rain, and other outside conditions.

A combination of experience and training that would provide the required knowledge and abilities is qualifying. The incumbent must have the knowledge of:

• Principles and practices of civil engineering.
• Methods, materials and techniques used in the construction of public works projects.
• Modern developments, current literature and sources of information regarding engineering.
• Principles of advanced mathematics and their application to engineering work.
• Applicable laws and regulatory codes in assigned area of responsibility.

The ideal candidate will have a strong technical background in preparing and reviewing transportation analysis for a range of project scales and being able to interpret the practical implications of the analysis results. They would be familiar with VMT, the current industry trends related to its implementation, and be able to assist the team in managing and updating our Traffic Impact Guidelines. They'll have excellent skills in using Excel and be comfortable working within it to create reliable and flexible tools for day-to-day analysis needs. The Traffic division and the City pursue significant grants and special projects that allow us to grow our infrastructure and capabilities, as well as to implement the best practices in the industry, the ideal candidate would be someone who is knowledgeable about the current trends in the Transportation engineering and planning fields and be able to lead grant pursuit efforts and independently manage such projects along with coordination with stakeholders of competing interests.

Experience: One (1) to two (2) years of increasingly responsible experience in civil engineering.

Preferred Qualifications

• At least two (2) years of experience preparing and reviewing transportation impact analyses for a range of project scales and being able to interpret the practical implications of the analysis results.
• Familiarity with VMT, the current industry trends related to its implementation, and have experience managing and/or updating Traffic Impact Guidelines.
• Advanced proficiency in Microsoft Excel, including building tools for transportation data analysis.
• Experience managing transportation projects and coordinating with internal and external stakeholders with competing interests.
• Experience presenting at public meetings and responding to questions/feedback from elected or appointed officials.
• Traffic Engineering license.

Education: Equivalent to a Bachelor's degree from an accredited college or university with major coursework in civil engineering or a closely related field. Some additional years of experience and specialized training may substitute for some of the educational requirements.

License or Certificate: Possession of, and continuously throughout employment, a valid CA Class "C" Driver's License.

Successful candidates will be required to complete an annual Statement of Economic Interest Form (700 Form) and bi-annual ethics training pursuant to AB 1234.

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
  
  

• 
  
  
• Yes
  
  
• No
  
  

• 
  
  
• Yes
  
  
• No
  
  

Required Question

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. The Content Success team is responsible for ensuring that Pinners see fresh new products, ideas and inspiration in their recommendations and that Content Producers receive value from the platform through exposure, engagement and monetization. We work across different recommendation surfaces (Homefeed, Search, Related Pins, Ads) to develop new integrations and signals. We are looking for an experienced Engineering Manager who can drive the team's technical direction, lead the team in developing new integrations and signals for recommendation systems and make an impact on Pinterest's topline metrics.

What you'll do:

• 
  
• Lead, mentor and grow a team of experienced backend and machine learning engineers in developing advanced signals, integrations and systems, which are integral to key Pinterest products across Discovery, Ads, and Growth.
  
• Provide thought leadership in content distribution and recommender systems by setting a long-term technical vision and advancing the state-of-the-art in the field. Act as the glue between content acquisition and recommendation pods becoming the expert in both these areas.
  
• Manage project execution and stakeholder communication, including roadmap planning, technical decision-making, risk mitigation, and progress updates to achieve business goals.
  
• Help the team solve difficult technical challenges such as:
  
  • 
    
  • How to build new ML systems, candidate generators, features and models that can handle millions of new Pins every day with low latency to effectively distribute fresh content and be re-usable across recommendation surfaces?
    
  • How to determine what fresh content our Pinners will be inspired by and predict their future engagement metrics?
    
  • How to identify and remove biases from existing recommendation systems?
    
  • How to experiment with and measure the impact of content acquisition changes on the user experience?
    
  • How to enhance the titles of new content to increase their engagement?
    
  
  

What we're looking for:

• 
  
• 7+ years of industry experience, including 2+ years of management experience.
  
• Experience with:
  
  • 
    
  • developing and deploying large-scale machine learning systems in search and recommendations.
    
  • big data technologies (e.g. Hadoop, Spark) and scalable realtime systems that process stream data (e.g Kafka, Flink).
    
  • applying NLP models and LLMs to content understanding and recommendation systems.
    
  
  
• Experience building and leading high performing teams within a visible business vertical .
  
• Experience working with numerous cross functional partners to drive a collective initiative.
  
• Bachelors degree in a technical field, or equivalent work 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 are seeking an experienced Project Engineer to support the design, documentation, deployment, and commissioning of mission-critical electronic security systems. This role plays a key part across the full project lifecycle, partnering closely with engineers, project managers, contractors, and clients to ensure projects are delivered on time, on budget, and in compliance with all engineering standards and specifications.

Key Responsibilities

• Design, document, and manage technical submittals for large-scale security installation projects
• Develop engineering plans, implementation strategies, and failover designs
• Support bidding efforts including takeoffs, bills of materials, and cost estimates
• Coordinate with internal teams, contractors, and trade partners to align designs and installation requirements
• Track RFIs, revisions, submittals, schedules, and project documentation
• Lead design reviews and contribute to process improvements and technical knowledge sharing
• Provide on-site support including site surveys, pre-install testing, and field commissioning

Qualifications

• Bachelor’s degree in Engineering (Mechanical, Electrical, Industrial preferred)
• 7+ years of relevant design and deployment experience (plus if experience is in mission-critical facilities)
• Experience creating detailed engineering plans, implementation plans, and failover strategies
• Strong AutoCAD experience (required)
• Revit experience highly preferred
• Familiarity with SolidWorks is helpful but insufficient on its own for this role
• Experience with BIM tools (BIM 360 or similar) is a plus
• Experience with scheduling, job cost tracking, and project coordination
• Excellent communication skills and ability to manage multiple priorities

Compensation range: $100k - $150k

Exact compensation may vary based on several factors, including skills, experience, and education.

Company:

RSA provides flight-critical components and assemblies for the commercial, defense and business jet markets. RSA designs and produces custom-engineered high pressure/high-temperature ducting assemblies for each customer’s specific performance requirements. RSA’s Peri-SealTM is one of the most sought-after connectors in the aerospace industry. Additionally, RSA designs and produces flexible joints and hoses, ozone converters and many complex assemblies to meet stringent customer needs.

Job Summary:

Responsible for planning, directing and coordinating manufacturing processes throughout the company to meet production requirements. Help plan and drive tooling requirements and improvements to increase output improve quality and reduce cost.

RSA is ITAR regulated.

Principal Duties & Responsibilities:

Developing, evaluating, improving, and documenting manufacturing processes.

Designing and implementing production assembly fixtures and tooling.

Analyzing manufacturing process flows to enhancement quality, cost reduction, and productivity.

Collaborating with all departments regarding product design to ensure effective production methods.

Ability to clearly write or edit technical documentation and assembly or process instructions.

Help trouble-shoot and drive root cause analysis.

Conform to company safety policies and procedures.

Work in both standalone and team environments to discover and implement solutions.

Analytical problem solving on manufacturing floor with production hardware.

This role is required to be on-site 5 days at the Simi Valley, CA location.

Minimum Education & Experience:

Bachelors or master’s degree in Mechanical, Manufacturing, Industrial, or Aerospace Engineering

Minimum of 1 year of experience in a related field.

Experience in sheet metal processes (forming, cutting, etc.) - metallic or composite ducting or structure manufacturing preferred.

Weld fabrication experience is a plus.

Experience with interrogating 3D models using Solidworks (preferred) or other 3D CAD software

Must be able to read and interpret blueprints and specifications.

Must be able to initiate, work through and close short- and long-term projects according to project schedule.

Must have ability to perform with ambiguous and incomplete information in a fast-paced environment.

Desirable Working Knowledge or Skills:

Microsoft Office

Use of ERP Systems: RSA uses Epicor

Knowledge of mechanical fabrication and assembly

Compensation

In compliance with all states and cities requiring transparency of pay, the expected pay range for this position is $75,000 - $90,000.

Compensation can vary depending on several factors, including a candidate's qualifications, skills, experience, competencies, and geographic location. Some roles may qualify for extra incentives like equity, commissions, or other variable performance-related bonuses. Further details will be provided by our recruiting team during the interview process.

As a Hivemind Build and CI engineer, you will design and implement engineering centric automation across the organization. You will work closely with the product development teams implementing policies and guidelines into the continuous integration and delivery systems. This role requires you to be very hands on and contribute to discussions with cross-functional teams across the organization. We embrace an attitude that focuses on solving the root cause of problems efficiently. A large part of your day to day will be in our build pipelines, build configuration management, and focusing on making changes to increase developer iteration time.

What you'll do:

• Own the Hivemind CI/CD system, engaging with autonomy developers and the Developer Experience team daily to support as needed.
• Manage and own the monitoring tool stack, focusing on build infrastructure metrics
• Manage and own internal build containers used by all of the Hivemind organization
• Support AI engineers with build issues, and educate on best practices
• Work closely with the Developer Experience team to improve engineering efficiency

Required qualifications:

• BS in computer science or related engineering field with 3+ years of professional experience.
• Experience with configuration management tools (Makefile, CMake, Conan, Bazel, etc.)
• Strong demonstrated proficiency in continuous integration/delivery (e.g. Github Actions, ADO, TeamCity, etc.).
• Strong understanding of C++ (or other compiled language), Linux and CMake
• Strong knowledge of APIs, web services, and identity access management
• Strong knowledge of containers (e.g. Docker, Podman, etc.).
• Strong knowledge of scripting languages (Bash, Python, PowerShell).
• Strong knowledge of Git.
• Strong system administration in Linux (w/ Windows a bonus).
• Strong desire to learn and grow on the job.

Preferred qualifications:

• Strong Experience with Conan Package Manager
• Experience with Rust in a production environment.
• Experience with Hardware in the Loop build/deploy/test systems
• Experience owning build infrastructure
• Experience with NVIDIA Jetson products

$120,000 - $180,000 a year

Full-time regular employee offer package:

Pay within range listed + Bonus + Benefits + Equity

Temporary employee offer package:

Pay within range listed above + temporary benefits package (applicable after 60 days of employment)

Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.

Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know.

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.

About tvScientific

tvScientific is the first and only CTV advertising platform purpose-built for performance marketers. We leverage massive data and cutting-edge science to automate and optimize TV advertising to drive business outcomes. Our solution combines media buying, optimization, measurement, and attribution in one, efficient platform. Our platform is built by industry leaders with a long history in programmatic advertising, digital media, and ad verification who have now purpose-built a CTV performance platform advertisers can trust to grow their business.

As a Sr. Machine Learning Engineer at tvScientific, you'll build the ML and AI systems behind our Connected TV ad-buying platform: real-time bidding, campaign optimization, and incrementality measurement at scale. We're an adtech company solving a hard problem: making CTV advertising actually measurable. Our platform helps advertisers buy ads across the CTV ecosystem: Hulu, Pluto TV, Disney+, HBO Max, and hundreds of FAST channels: and prove that those ads drove real business outcomes.

What you'll do:

• 
  
• Write production Python that powers real-time bidding, model training, and campaign optimization
  
• Train, deploy, and monitor ML models that decide which ads to show, when, and at what price: millions of bid decisions per second
  
• Build and improve our incrementality measurement systems: helping advertisers understand the true causal lift of their CTV spend
  
• Design and implement new ML products across the ad-buying lifecycle: audience targeting, bid optimization, pacing, and attribution
  
• Use LLMs and generative AI to build internal tools that accelerate how we develop, test, and ship ML systems
  
• Serve as a technical lead and mentor on a distributed engineering team
  

What we're looking for:

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• Strong production Python skills: you write code that runs in prod, not just notebooks
  
• Solid statistics and ML fundamentals: you can reason about experiment design, model evaluation, and when simpler approaches beat complex ones
  
• Familiarity with modern AI tools and good judgment about where they add value
  
• Adtech or CTV experience: familiarity with RTB, programmatic advertising, supply-path optimization
  
• Clear written communication: we're a distributed team and writing is how decisions get made
  
• Comfort with ambiguity: you'll own problems end-to-end in a fast-moving environment, from scoping to shipping
  
• Nice-to-Haves:
  
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  • Teaching experience
    
  • Causal inference: uplift modeling, synthetic controls, difference-in-differences, or incrementality testing
    
  • Big data experience with Scala and Spark
    
  • Systems programming experience in Zig or similar (C, C++, Rust)
    
  • Reinforcement learning or bandit algorithms in production
    
  • Experience building agentic AI systems or LLM-powered workflows
    
  • MLOps experience: model deployment, monitoring, and pipeline orchestration on AWS
    
  
  
  

In-Office Requirement Statement:

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• 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:

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

#LI-SM4

#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: