Engineering Journal Jobs in California

1,407 positions found — Page 2

Manager II, Machine Learning Engineering, Core Engineering
Salary not disclosed
San Francisco, CA 3 days ago

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. Core Engineering touches every surface the Pinner sees across the app and forms the front-and-center of the Pinterest experience for 500M+ Pinners every month. The Core team's mission is to recommend inspiring & engaging pins for all our Pinners. We are looking for a Machine Learning Engineer Engineering Manager II who can drive the team's technical direction, strategic planning and execution. You'll have the opportunity to lead a team that works cross-team on various innovative projects of new product experiences, builds large-scale low-latency systems and state-of-the-art machine learning models, and delivers great impact to our pinners and business metrics.



What you'll do:



  • Be responsible for major areas of search, recommendations, notifications, etc for more than 500 million monthly active Pinterest users. Potential areas of impact include ML based retrieval, multi domain ranking, L1 modeling, candidate generators, sequence modeling, relevance modeling, and infrastructure efficiency and scalability.
  • Deeply understand the Pinterest product and drive the vision for the team, ensuring the team's work directly contributes to the company's goals.
  • Manage and mentor a team of Machine Learning engineers (L13 - L16), providing technical guidance and support to help them grow their careers. Identify team needs and hire strong candidates.
  • Collaborate closely with other engineering teams at Pinterest to enhance the experience for users, including Advanced Technology Group, Infrastructure, Content Understanding and User Understanding.
  • Provide visibility to senior leadership regarding the team's global impact.
  • Partner with stakeholders across the company, including product management, data scientists, and design, to shape the future of the content ecosystem and personalization at Pinterest.
  • Build a culture of excellence and expertise within the team.


What we're looking for:



  • MS/PhD in Computer Science, ML, NLP, Statistics, Information Sciences, related field, or equivalent experience.
  • Experience leading and working on a large-scale production recommendation, e-commerce, search or ads systems that are based on state-of-the-art machine learning and big data technology.
  • Strong experience in related fields such as recommendation systems and applied machine learning experience is required. Natural language processing and computer vision is a bonus.
  • Demonstrated ability to define and drive the strategic roadmap for scalable, production-quality systems from concept to execution.
  • Strong focus on product impact and user experience within a consumer-focused environment.
  • Minimum of 1 year of experience managing a high-performing machine learning engineering team of 10+ members.
  • 8+ years of experience in software development, with a proven track record of delivering impactful solutions.


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.

US based applicants only$189,308—$389,753 USD

Our Commitment to Inclusion:


Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please completethis formfor support.

Not Specified
Manufacturing Engineering Manager
Salary not disclosed
Mountain View, CA 3 days ago

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 Manufacturing Manager at Reliable Robotics, you'll be responsible for manufacturing capacity and throughput, factory development and layout, leading a team of engineers and technicians, and improving our manufacturing processes to meet design, regulatory, and business requirements (including safety, quality, cost, and on-time delivery). This is a growing team of highly motivated people passionate about delivering quality products and services on time, with unquestionable value. You will have overall accountability for the manufacturing output of a broad portfolio of products, including mechanical, electromechanical, and/or electrical/avionics assemblies. You will also be responsible for leading hiring activities, managing manufacturing layout, equipment maintenance, optimizing manufacturing flow, ensuring tooling and and working with engineering on design for excellence (DFx) improvements. They also handle workforce development, production scheduling, risk mitigation, and performance monitoring to meet production targets. You are responsible for establishing the standards by which this team would operate, and for transitioning the organization from a start-up into a disciplined manufacturing organization. The projects you work on will set the foundation for how the business operates for years to come. This is a fantastic opportunity to work in a safety-critical environment that takes automated aviation systems from prototype to production in a hands-on environment.

Responsibilities

  • Responsible for building, testing, troubleshooting/diagnosing, inspecting, and maintaining Reliable-designed mechanical, electromechanical, and/or electrical/avionics assemblies, harnesses, and interconnects

  • Lead, coach, and provide technical mentorship to a team of engineers and technicians; write bi-annual reviews and manage the team's performance

  • Lead hiring, recruitment, and training for the technician team

  • Lead efforts to transition our products from engineering development to production

  • Ensure design for excellence (DFx) is communicated to the engineering and drive implementations across all manufacturing areas to improve cost, producibility, inspectability, consistency, adequacy, accuracy, and achieve conformance to requirements

  • Responsible for maturing the manufacturing factory and layout, including optimizing material flow, factory equipment (e.g., tooling, inspection, test, etc.) maintenance, tooling, automation, and business system

  • Monitor and communicate manufacturing status and risks, and establish key performance metrics to meet manufacturing targets

  • Partner with design, engineering, supply chain, and other departments to synchronize project plans and ensure manufacturing can meet demand

  • Develop and ensure compliance with all policies, procedures, quality management systems, and engineering change orders

  • Develop processes to ensure accurate, current, and complete documentation (work instructions, inspections, tests, records, etc.) is utilized and maintained

  • Ensure root-cause analysis is implemented and timely corrective actions are taken to maintain schedule, quality, and reliability

Basic Success Criteria

  • Bachelor's degree in mechanical, electrical, aerospace, or systems engineering

  • 5+ years of manufacturing, design, and/or testing experience

  • 3+ years of experience with computer-aided design (CAD) and Product Lifecycle Management (PLM) software, such as Altium, NX, and Teamcenter

  • Strong leadership, communication, team-building, and problem-solving skills

Preferred Success Criteria

  • Experience with assembly, machining, fabrication, soldering, Electro-Static Discharge (ESD), Foreign Object Debris (FOD), and test methods

  • Prior experience in troubleshooting, repairing, setting up, and operating complex hardware in a safety-critical environment

  • Research and Development (R&D) or New Product Introduction (NPI) experience

  • Experience with industry or regulatory requirements such as AS9100, CFR 14 CFR 21.137, and/or 14 CFR Part 145

  • Previous leadership or management experience

Our team is passionate about delivering on our commitments, solving hard problems, continuously improving, and helping the business succeed. We are constantly reevaluating our technologies, products, and capabilities. If you are a lifelong learner, you will love this environment. Get in on the ground floor and help us build the company.

The position will be located at our facility in Mountain View, California.

Must be willing to travel 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: $130K - $195K

Apply for this Job
Not Specified
Engineering Manager
✦ New
🏢 Fabcon
Salary not disclosed
Santa Ana, California 15 hours ago

SUMMARY

Fabcon is seeking a hands-on Manufacturing Engineering Manager to lead production engineering in a high-mix, sheet-metal contract manufacturing environment. This role is critical to Fabcon's operational turnaround and will drive accurate routers, standardized sequences, and strong shop-floor execution to improve efficiency, utilization, and on-time delivery.

ESSENTIAL DUTIES AND RESPONSIBILITIES:

• Own and standardize manufacturing routers, sequences, and work instructions for sheet metal fabrication and assemblies

• Lead a team of manufacturing engineers and programmers with clear priorities and accountability

• Partner daily with Operations, Scheduling, Quality, and Production Leads to remove bottlenecks and execution gaps

• Improve labor efficiency, utilization, and ERP data accuracy through disciplined engineering practices

• Ensure manufacturability feedback into estimating and quoting

• Drive continuous improvement focused on speed, repeatability, and waste reduction

  • Other duties may be assigned

EDUCATION and/or EXPERIENCE

• Bachelor's degree in engineering or related field

• 10+ years' experience in leading a team of engineers, technical professionals, particularly in a production/process facility.

• Strong, practical knowledge of sheet-metal fabrication (laser, punch, press brake, hardware insertion, welding, finishing)

• Proven experience in a contract manufacturing environment

• Hands-on ERP experience (Global Shop Solutions preferred)

• Demonstrated ability to work cross-functionally and lead through influence

LANGUAGE SKILLS

• Ability to read, write, comprehend and communicate in the English language at a 72- percentile using the English-Language Arts Content Standard for California Public Schools. Bilingual ability in Spanish at a business conversational level is preferred.

MATHEMATICAL SKILLS

• The ability to choose the right mathematical methods or formulas to solve a problem.

PHYSICAL DEMANDS The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.

WORK ENVIRONMENT The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.

Not Specified
Sr. Engineering Technician
🏢 Reliable Robotics
Salary not disclosed
Mountain View, CA 2 days ago

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. Production and Engineering Technician at Reliable Robotics, you will be a part of the Production organization. This is a small but growing team of highly motivated people passionate about delivering quality products and services on time, with unquestionable value. You'll play a critical role in the build, operation, integration, test, diagnostics, inspection, and maintenance of highly reliable systems, including electro-mechanical assemblies, wiring harnesses, components, and subassemblies. You'll also help with the installation of those systems onto aircraft. Your work will support various product development phases such as prototype, research and development, aircraft certification, and recurring production. This is a fantastic opportunity to serve as the last line of defense for ensuring that our safety-critical systems are reliable and produced to the intended engineering requirements.

Responsibilities

  • Build, operate, integrate, test, diagnose, inspect, and maintain highly reliable systems, including avionics and electromechanical assemblies, wire harnesses, and circuit card assemblies

  • Read, interpret, and work from drawings, controlled documentation, and processes such as drawings, layouts, assembly procedures/work instructions, schematics, engineering drawings, and master parts lists

  • Develop and improve manufacturing and installation instructions

  • Assure product and process quality by testing finished-product and process capabilities

  • Resolve product non-conformances and collaborate with the quality team to implement corrective actions

  • Record work performed in a clear, precise, and complete manner

  • Assist with the development of production and improvement processes

Basic Success Criteria

  • 7+ years of professional experience building and testing electromechanical assemblies, fabrication, integration, or mechanical assembly experience

  • 4+ years of hands-on experience reviewing technical designs and working from drawings, schematics, layouts, assembly/procedures, master parts lists, and other controlled documentation

  • Ability to proficiently use a PC/Mac, Google Suite, manufacturing execution systems, JIRA, or equivalent tools

  • Ability to lift 25-pound boxes to a height of 3-4 feet, with or without reasonable accommodation

Preferred Criteria

  • IPC and/or J-STD certification

  • Experience working in an electro-mechanical manufacturing company, a precision manufacturing company, or a high-volume manufacturing company

  • Electro-mechanical assembly and prototype development experience

  • Experience setting up and running tests and experiments

  • Experience with electrical wiring

  • Soldering experience

Our team is passionate about delivering on our commitments, solving hard problems, continuously improving, and helping the business succeed. We are constantly reevaluating our technologies, products, and capabilities. If you are a lifelong learner, you will love this environment. Get in on the ground floor and help us build the company.

The position will be located at our facility in Mountain View, California.

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: $125K - $145K

Apply for this Job
Not Specified
Engineering Manager II, Machine Learning - User Understanding
✦ New
🏢 Pinterest
Salary not disclosed
San Francisco, CA 1 day ago

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 is seeking an Engineering Manager to lead our User Understanding team. This team builds and maintains the data and backend systems that drive user modeling, personalization and recommendations-impacting hundreds of millions of users every day. You'll set technical vision, empower a talented group of engineers, and collaborate closely with Machine Learning, Product, and Data Science to unlock better user experiences. We're looking for a leader with deep infrastructure expertise, a passion for personalization and ML-driven experience, and a strong record of delivering ML-enabling platforms at scale.


What you will do:



  • Lead and mentor a team of experienced machine learning engineers in developing advanced user understanding models and systems, which are integral to key Pinterest products across Discovery, Ads, and Growth.
  • Collaborate cross-functionally with partners in Product, Data Science, and Engineering to define strategy, set priorities, and effectively integrate user insights into core systems and product features.
  • Drive experimentation and adoption of new user understanding models with product teams across Pinterest, ensuring measurable end-to-end impact on key metrics.
  • Manage project execution and stakeholder communication, including roadmap planning, technical decision-making, risk mitigation, and progress updates to achieve business goals.
  • Provide thought leadership in user modeling and recommender systems by setting a long-term technical vision and advancing the state-of-the-art in the field.
  • Foster a collaborative, inclusive, and high-performing team culture.


What we're looking for:



  • 6+ years of industry experience in applied machine learning or closely related roles, with experience developing large-scale machine learning for recommendation or ads systems.
  • 2+ years of people management experience leading engineering teams.
  • Demonstrated ML expertise with a proven track record of impactful solutions and a deep understanding of large scale distributed systems.
  • Strong technical leadership, including a passion for driving technical direction, system architecture, and designing robust, scalable ML solutions.


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 ourPinFlexpage to learn more about our working model.

#LI-AK7
#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.

US based applicants only$189,308—$389,753 USD

Our Commitment to Inclusion:


Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please completethis formfor support.

Not Specified
Engineering Technician
✦ New
Salary not disclosed
Costa Mesa, CA 5 hours ago

Qualifications:

  • HS Diploma / GED
  • Familiarity with engineering drawings, hand sketches and rough layouts
  • Experience with fabrication, assembly, disassembly, & test of motors, components & assemblies
  • Experiencewith: Welding, prototyping of sample parts on lathes, drill presses, vertical mills; all non-CNC
  • Highly desirable: 3-phase 480V motors, gearmotors, large hatches, and cycle testing of actuator handles
  • Experience assisting with Facilities & Maintenance assistance on internal projects, repairs, and improvements involving air lines, power, inventory & shipping equipment, plant offices and shipping yard
  • Must have solid MS Office Skills and Computer skills


Responsibilities:

  • Assist in mechanical fabrication and modification of prototype and sample parts
  • Mechanical assembly and disassembly of parts, helping to define and set up testing.
  • Basic Machining on prototype and sample parts on lathes, drill presses, vertical mills
  • Maintenance, service and repair of shop equipment and forklifts
  • Assist test engineer with assembly & disassembly of test units. Assist in root cause analysis and
  • documentation of dynamometer tests on speed reducers and induction motors (
Not Specified
Sr. Machine Learning Engineer, Monetization Engineering
🏢 Pinterest
Salary not disclosed
Palo Alto, CA 2 days ago

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.

US based applicants only$189,721—$332,012 USD

Our Commitment to Inclusion:


Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please completethis formfor support.

Not Specified
Machine Learning Engineer, Monetization Engineering
🏢 Pinterest
Salary not disclosed
Palo Alto, CA 2 days ago

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.

US based applicants only$163,418—$285,982 USD

Our Commitment to Inclusion:


Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please completethis formfor support.

Not Specified
Academic Coordinator I - School of Journalism
Salary not disclosed
Berkeley, CA 2 days ago
Position overview

Salary range:
The UC academic salary scales set the minimum pay determined by step at appointment. See the following table for the salary scale for this position: The current full-time annual base salary range for the Academic Coordinator I position is $64,228 - $122,272. "Off-scale" salaries, which yield compensation that is higher than the published system-wide salary at the designated rank and step, are offered when necessary to meet competitive conditions.

Percent time:
100%

Anticipated start:
March 1, 2026

Position duration:
August 30, 2027

Application Window


Open date: January 6, 2026




Most recent review date: Friday, Feb 6, 2026 at 11:59pm (Pacific Time)

Applications received after this date will be reviewed by the search committee if the position has not yet been filled.




Final date: Wednesday, Apr 1, 2026 at 11:59pm (Pacific Time)

Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.



Position description

The School of Journalism is recruiting for a Director of Special Academic Programs (Academic Coordinator I). This position will be responsible for coordinating the School's summer undergraduate minor, overseeing the undergraduate program overall, helping with coordination of the California Newsroom Fellowship program, and managing other special academic programs.



50% of this position will be dedicated to managing the Undergraduate Minor. The Director (AC) will work with the Undergraduate Advisor and Journalism Staff to manage the undergraduate minor program over Summer 2026 and Summer 2027. The AC will manage all of the academic administration for the program, which includes: working with the Associate Dean to review applicants and participate in interviews; helping to manage Academic Student Employees (ASEs); working with Summer Sessions to advertise classes and participate in workshops or other trainings; leading orientation and training for summer lecturers; and assisting summer lecturers with a variety of academic matters, including curriculum planning, evaluating exceptional student requests, training instructors on the Learning Management Software (known as bCourses), handling classroom incidents or referring to the appropriate campus departments, facilitating incomplete grades resolution, facilitating grade appeals process including informal resolution, and assisting with DSP exam proctoring.



Duties include but are not limited to the following:



Program Administration & Student Management:




  • Oversee the day-to-day management of the minor, including student enrollment, scholarship arrangements, and information dissemination.
  • Serve as the primary liaison for curriculum planning, working with the executive and curriculum committees to ensure core and elective course availability.
  • Lead program promotion, managing communications, and maintaining the website.


Summer Session Management:




  • Serve as the key lead for Summer Sessions, managing hiring, class coordination, and reporting.
  • Collaborate closely with the Undergraduate Advisor, Journalism staff, AP Analyst, and Student Services team to meet hiring deadlines for instructors and Academic Student Employees (ASE).
  • The AC will work through August 30, 2027 to see the completion of summer session appointments and help instructors with final grade submissions & final offboarding.


Expansion & Access:




  • Drive significant expansion of enrollment for the minor.
  • Explore establishing the minor as a system-wide offering accessible to other UC students.
  • Develop a professional pipeline, including pre-college course offerings for high school students.
  • Work to establish a 4+1 BA/MJ degree to facilitate access to graduate-level Journalism education.
  • Explore expanding the minor into a full undergraduate major.
  • Curriculum & Content: Act as a crucial thought partner to continuously update the curriculum, ensuring it reflects new technologies and political realities within the rapidly evolving journalism industry.


Faculty Engagement:




  • Help maintain and increase engagement with the teaching faculty, including Berkeley Senate professors and journalists from top newsrooms.


25% of this position will be dedicated to supporting the California News Fellowship program. The AC will have a central role in the Fellowship Program and its integration with the wider curriculum. Responsibilities include managing the admissions and selection process, such as reviewing applications and participating in the selection of each new cohort. The AC will also review the annual operations handbook to identify development opportunities. Crucially, the AC acts as a system overseer for the fellowship, bridging training opportunities with the graduate curriculum. The AC will be a key thought partner and leader in creating a partnership between the fellowship and the undergraduate minor program, exploring collaborations like joint projects and developing shared training opportunities.



25% of this position will be dedicated to managing the School's other special academic programs which includes the Business Journalism Certificate Program, and the Masters of Journalism/Masters Public Health. The AC would take ownership of these programs and would manage the coordination of all of our special graduate programs as needed across the curriculum.



Possibility of reappointment may be considered based on performance and need of the School.



Applicants must be authorized to work in the United States at the time of hire. Visa sponsorship is not available for this position.



Qualifications

Basic qualifications (required at time of application)

  • Bachelor's degree required or equivalent international degree.


Preferred qualifications

  • Professional background in journalism profession or journalism-adjacent fields.
  • Demonstrated administrative experience, preferably in higher education settings.
  • Proven ability to exercise sound judgement and make difficult decisions, including addressing instructor performance issues in a fair and professional manner.
  • Capacity to engage in conflict resolution and problem solving, particularly in situations involving classroom challenges, student concerns.
  • Strong organization and program management skills.
  • Excellent written and oral communication skills, ability to present confidently to students, faculty or other stakeholders.
  • Demonstrated leadership, with a track record of accountability, integrity, and collaborative decision-making.
  • Proficiency with technology systems used in academic program delivery, including learning management systems (Canvas preferred).
  • Familiarity with curriculum development and academic policy within journalism or related disciplines.
  • Experience in academic coordination within a university environment.
  • Capacity to design, implement, and communicate program policies and procedures effectively.


Application Requirements

Document requirements

  • Curriculum Vitae - Your most recently updated C.V.


  • Cover Letter - Please describe your experience as it relates to this position, specifically work done in an academic setting.




Reference requirements
  • 3 required (contact information only)


Apply link:
JPF05136

Help contact:



About UC Berkeley

UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, consistent with UC Regents Policy 4400 and University of California Academic Personnel policy (APM 210 1-d). These values are embedded in our Principles of Community, which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better world. Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment in which these values can thrive.



The University of California, Berkeley 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, disability, age, or protected veteran status.



For more information, please refer to the University of California's Affirmative Action and Nondiscrimination in Employment Policy and the University of California's Anti-Discrimination Policy.



In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter.



As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.


Unless stated otherwise, unambiguously, in the position description, this position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee.



As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.




  • "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer.
  • UC Sexual Violence and Sexual Harassment Policy
  • UC Anti-Discrimination Policy
  • APM - 035: Affirmative Action and Nondiscrimination in Employment


Job location
Berkeley, CA
Not Specified
Lecturer & Teacher-Special Programs - Graduate School of Journalism
🏢 University of California-Berkeley
Salary not disclosed
Berkeley, CA 2 days ago
Position overview

Salary range:
The posted UC academic salary scales set the minimum pay at appointment. See the following table for the salary scale for this position: . The current full-time annual salary range for Lecturer positions is $70,977 - $199,772. TSPs are paid at an hourly rate. Hourly rates range from $45- $60 per hour.

Percent time:
Part-time; varies depending on course.

Anticipated start:
Lecturers hired to teach during the Academic Year are employed from July through June. Lecturers hired to teach during the Fall semester are employed from August through December. Lecturers hired to teach during the Spring semester are employed from January through May. Summer Sessions appointments start a various times throughout the summer.

TSPs hired to teach during the Fall semester are employed as soon as mid- August through mid-December. TSPs hired to teach during the Spring semester are employed from mid-January through mid-May.

Position duration:
One semester, academic year, or Summer Session

Application Window


Open date: January 5, 2026




Most recent review date: Sunday, Jan 25, 2026 at 11:59pm (Pacific Time)

Applications received after this date will be reviewed by the search committee if the position has not yet been filled.




Final date: Tuesday, Jan 5, 2027 at 11:59pm (Pacific Time)

Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.



Position description

The School of Journalism at the University of California, Berkeley is accepting applications for qualified temporary, part-time instructors to teach both during the regular academic-year year and in our Summer Minor program. Applicants will be reviewed for positions as needs arise. As a professional school, the School of Journalism is seeking practitioners to bring real-world experience to the classroom. Among the needs we generally have, we are often seeking practitioners with skills in:



- News writing and reporting, either in daily reporting or long-form narrative writing.

- Video news, including documentary filmmaking or short form video storytelling.

- Audio news, including podcasting, radio reporting, audio editing or sound design.

- Multimedia storytelling, including visual design, audience engagement, social media, emerging story forms like VR/AR, and mobile platforms.

- Data journalism, including data visualization, data coding (Python or R), spreadsheets, public records, and similar tools used for data-driven stories.

- Topical expertise, including but not limited to climate change, science, politics, business, race and inequality, investigative reporting, or other topical expertise.



The School seeks candidates who can support the success of all students through inclusive curriculum, classroom environment, and pedagogy. Instructors will be offered pedagogical training on inclusive teaching practices to ensure their teaching materials come from the widest range of perspectives.



Appointments for primary instructors will be made in the Lecturer title. Time commitments vary depending on the class, but are typically one day a week of teaching for two or three hours. Other duties include ancillary responsibilities like holding office hours, assigning grades, attending appropriate meetings / orientations, advising students, preparing course materials (e.g., syllabus), and maintaining a course website. Candidates may also be considered for hourly appointments as Teacher-Special Programs (TSP). TSPs teach a narrow subject as part of another course, or assist courses in other ways. Time commitments for TSPs vary, and in most cases are only for a limited period of the semester.



Unless otherwise noted, it should be expected that classes will be held in-person so candidates will be required in most cases to physically teach at UC Berkeley campus. Please refer to our job openings link for any limited remote-teaching opportunities.



School:

Job Openings: people-resources/jobs/



Qualifications

Basic qualifications (required at time of application)

Bachelor's degree or equivalent international degree, or 10 years of professional journalism experience.



Additional qualifications (required at time of start)

Advanced degree, Bachelor's degree (or equivalent international degree) plus five years of professional journalism experience, or 10 years of professional journalism experience.



Preferred qualifications

Bachelor's degree (or equivalent international degree) and 10 years of professional journalism experience, or journalism-adjacent experience. Ideal candidates will have worked as journalists, or in journalism-adjacent environments, and have experience in publishing, editing, or creating content for public consumption. Teaching and mentorship experience is preferred but not required, and may include college teaching, conference workshops, mentorship programs, or other forms of instruction.



In addition, a demonstrated record of professional achievement, such as significant published work, journalism awards, or other accomplishments is preferred.



Application Requirements

Document requirements

  • Curriculum Vitae - Your most recently updated C.V.


  • Cover Letter (Optional)


  • Statement of Teaching - Please discuss prior teaching experience, teaching approach, and future teaching interests. This can include, for example, specific efforts, accomplishments, and future plans to support the success of all students through curriculum, classroom environment, and pedagogy to support a wide range of experience and backgrounds.



    If there is no teaching experience, please discuss your teaching approach and values you plan to uphold in the classroom setting/as an educator.



    You are encouraged to specify a preferred course(s) in your cover letter. Please note that the department reserves the right to assign candidates the course(s) for which they are best suited, as determined by their application materials and interview.




Reference requirements
  • 3 required (contact information only)

Candidates will be notified before the references are contacted and only after an interview is performed.



Apply link:
JPF05242

Help contact:



About UC Berkeley

UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, consistent with UC Regents Policy 4400 and University of California Academic Personnel policy (APM 210 1-d). These values are embedded in our Principles of Community, which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better world. Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment in which these values can thrive.



The University of California, Berkeley 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, disability, age, or protected veteran status.



For more information, please refer to the University of California's Affirmative Action and Nondiscrimination in Employment Policy and the University of California's Anti-Discrimination Policy.



In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter.



As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.


Unless stated otherwise, unambiguously, in the position description, this position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee.



As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.




  • "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer.
  • UC Sexual Violence and Sexual Harassment Policy
  • UC Anti-Discrimination Policy
  • APM - 035: Affirmative Action and Nondiscrimination in Employment


Job location
Berkeley, CA
internship
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