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Engineering Jobs in None, CA

189 positions found — Page 9

Building Engineer
Salary not disclosed
Sacramento, CA 2 days ago


Building Engineer

Job ID

2026-3166

Job Locations

US-CA-Sacramento

Department

Engineering

Overview

The Building Engineer reports to the Chief Engineer and maintains a working relationship with and takes direction from all Property Managers in his/her area for issues affecting their properties.

Issues may range from tenant improvement work to preventive maintenance and repair of all building systems. This must be done in a manner that not only protects, but also maximizes the value of the property. The Building Engineer must exhibit outstanding client service and professionalism in all interactions with tenants and RMR staff. Teamwork and collaboration are critical to this position's success. The portfolio currently consists of six buildings, totaling 546,440 SF.



Responsibilities

  • Operate, maintain, and log all HVAC and MEP equipment under the direction of their supervisor.
  • Complete tenant service requests, and develop and maintain positive tenant relations through prompt, courteous response to tenant requests.
  • Perform preventive maintenance and repairs on HVAC equipment, plumbing and electrical systems, as directed by their supervisor. Duties include, but are not limited to changing filters, coil cleaning, greasing motors, replacing light bulbs & ballasts, inspecting/adjusting belts, and regular inspections of equipment
  • Maintain computerized or manual equipment logs that detail preventive work performed.
  • Clean and paint equipment and surrounding areas relating to equipment and equipment rooms.
  • Assist in ordering stock and inventory of parts and supplies, as needed.
  • Respond immediately to emergency situations and customer concerns.
  • Review elevator maintenance records and confirm elevator maintenance is performed per national agreement. Inspect condition of elevator machine rooms. Report any elevator deficiencies to their supervisor.
  • Assist with review of tenant improvement plans. Inspect active construction areas and confirm contractors are following all building rules and regulations.Coordinate fire alarm and sprinkler shutdown and drain downs with contractors as needed.
  • Coordinate all quarterly fire alarm testing and maintenance with building vendor.
  • Maintain and operate life safety/fire systems
  • Perform carpentry and snow removal, if necessary.
  • Take meter readings on all meters and equipment as directed by their supervisor.
  • Perform minor repairs on doors, hardware, lock, windows, ceilings, and floors
  • Troubleshoot, evaluate and make recommendations to upgrade maintenance operations and/or implement savings opportunities.
  • Possess competent knowledge of the use and care of tools and equipment used in facility and ground maintenance.
  • Inspect buildings, grounds and equipment for unsafe or malfunctioning conditions and report to management
  • Inspect new installation for compliance with building codes and safety regulations
  • Comply with all applicable codes, regulations, governmental agency and company directives, as related to building operations and practice safe work habits
  • Daily communication with property management, engineering staff, security, tenants and contractors/vendors is vital.

General Maintenance and Operation Duties:

  • Understand OSHA guidelines and how to ensure that all equipment is maintained to guidelines/standards.
  • Read and follow written and oral instructions.
  • Convey thoughts and recommendations orally and/or in writing to supervisors, contractors and others in order to resolve building-related problems.
  • Operate and use necessary manual and power-driven tools.


Qualifications

  • High school diploma or GED equivalent required.
  • Minimum 3-5 years of building maintenance experience or commensurate experience in a trade (plumbing, electrical, HVAC).
  • HVAC or electrical technical school training preferred.
  • Applicable military experience or other related operations experience will be considered including power plants, multi-family, hotels, hospitals, facilities, etc.
  • Experience with automated building management systems
  • Ability to interpret mechanical, electrical blueprints and schematics
  • Ability to work in a fast-paced environment, with the ability to multi-task and meet deadlines.
  • Must be team oriented and a problem solver.
  • Strong verbal and written communication skills.
  • Manage own time on a daily basis with little supervision
  • Must be able to handle multiple projects, changing priorities, and continually heavy workloads
  • May be required to work extended periods of time without relief, when responding to priority/emergency situations (including overtime-type assignments)
  • Stooping, standing, climbing and frequent lifting of a minimum of 50 lbs. of equipment (pump, tools, ladders) and ability to safely install rigging/lifting device
  • Lift and carry objects of up to 50 lbs. for distances of up to 30 feet
  • Climb ladders and stairs.
  • Maintain professional appearance and manner at all times while in the complex.
  • Will be required to perform off site duties through the use of a personal vehicle.
  • Must have a valid driver's license.
  • If, at any time, security clearance is required for your job (e.g. you are assigned to work at a property leased by the Federal government), being awarded such clearance will be a condition of your employment.


Total Rewards

The RMR Group offers an extensive total rewards package to ensure that your benefits align with your needs. Employees who work at least 21 hours per week are eligible to participate in The RMR Group's benefits plans, including:

  • Health Insurance
  • Dental Insurance
  • Vision Insurance
  • Life & Disability Insurance
  • Health Savings Account (HSA) & Flexible Spending Plans (FSA)
  • 401(k) Plan with Employer Match
  • Holidays, Vacation & Sick Time
  • Parental Leave
  • Tuition Assistance
  • Matching Gift Program
  • Wide Array of Voluntary, Employee-Paid Benefits to choose from including Critical Illness & Accident Insurance, Identity Theft Protection & Pet Insurance

The estimated base compensation range for this position is $75,000 to $90,000 per year. RMR considers several components including an individual's skills, qualifications, experience, internal equity, and market data.



Company Overview

The RMR Group (Nasdaq: RMR) is a leading U.S. alternative asset management company, unique for its focus on commercial real estate (CRE) and related businesses. RMR's vertical integration is strengthened by nearly 900 real estate professionals in more than 30 offices nationwide who manage approximately $40 billion in assets under management and leverage more than 35 years of institutional experience in buying, selling, financing and operating CRE. RMR benefits from a scalable platform, a deep and experienced management team and a diversity of real estate strategies across its clients. RMR has been recognized by The Boston Globe as a "Top Place to Work", by the Environmental Protection Agency (EPA) as an "ENERGY STAR Partner of the Year" and ranked by the Building Owners and Managers Association (BOMA) as having one of the highest number of BOMA 360 designated properties in its portfolio. RMR is headquartered in Newton, MA and was founded in 1986.

RMR's mission is to create long term value for our clients by managing their investments and assets "like we own it" - an approach that consistently and repeatedly generates opportunities for all our employees, investors and stakeholders. We are guided by six core values:

  • Integrity at Our Core.
  • Perform Passionately and Effectively.
  • Inspired Thinking.
  • Like We Own It.
  • Power of We.
  • Mutual Respect.

Visit our website to learn more about what makes The RMR Group a rewarding place to build a career.

Follow RMR on LinkedIn and Instagram @thermrgroup.

The RMR Group is an equal opportunity employer. Qualified applications will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here.



Not Specified
Sr. Engineering Technician
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
Sr. Staff Machine Learning Engineer, Homefeed
Salary not disclosed
San Francisco, 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.

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



What you'll do:



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


What we're looking for:



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


Relocation Statement:



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


In-Office Requirement Statement:



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


#LI-REMOTE


#LI-DM57

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


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

US based applicants only$227,871—$469,147 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
Sr. Electrical Test Engineer
🏢 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. Electrical Test Engineer at Reliable Robotics, you will be a part of the avionics engineering team. We develop the wide variety of computing, sensing and actuation, power, and communications systems that are at the core of our automation system. We're looking for a broadly experienced individual to apply their electrical engineering and software automation skills to develop robust test solutions for complex hardware in a safety-critical environment. This is a clean-slate opportunity to grow our primitive test operations into a production worthy operation.

Responsibilities

  • Lead the development of automated test equipment systems for functional, environmental qualification, and manufacturing acceptance tests

  • Analyze test results to identify failure modes, lead root cause investigations, and drive improvements back into designs

  • Author, execute, and audit test plans, procedures, and reports

  • Collaborate with cross-functional teams to facilitate successful testing campaigns

  • Drive continuous improvement to test system infrastructure, processes, and practices

Basic Success Criteria

  • Bachelor's degree in electrical engineering, computer engineering, or equivalent experience

  • 8+ years of full cycle electronics hardware test or development experience in a professional environment

  • Strong knowledge of electrical engineering fundamentals

  • Extensive experience with test equipment, measurement techniques, and processes for hardware verification

  • Experience with programming/scripting languages (C, C++, Python) and ability to develop and maintain test software

Preferred Criteria

  • Advanced degree in electrical engineering or computer engineering

  • Familiarity with formal industry test standards such as RTCA DO-160, MIL-STD-461/810, or similar

  • Experience developing and simulating complex and manufacturable printed circuit board assemblies using tools such as Altium Designer and SPICE

  • Excellent written and verbal communication skills

  • Ability to work both independently and as a leader of a high performing team

This role provides an opportunity to own a wide variety of testing that is essential in verifying the safe and reliable operation of the next generation of avionics for unmanned aircraft systems. This role also has the potential to lead into a leadership role in a player/coach capacity.

This role is on-site in Mountain View, CA.

Must be willing to travel 30% of the time.

The estimated salary range for this position is $188,000 to $250,000/annual salary + cash and stock option awards + benefits. At Reliable Robotics, we strive to provide competitive and rewarding compensation based on experience and expertise, as well as market conditions, location, and pay equity.

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

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

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

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

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

Compensation Range: $188K - $250K

Apply for this Job
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
Sr. Harness Engineer (EWIS)
🏢 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. Harness Engineer at Reliable Robotics, you will be a part of the Vehicle Design and Integration team and will report to the Vehicle Design and Integration Engineering Manager. This team is a small group of highly motivated engineers designing, integrating, testing, and flying advanced mechanical and electrical systems. The harness engineer is a very cross-functional role at the convergence of the avionics, mechanical, integration, and production teams, with significant hands-on work designing, building, integrating, and testing our harnesses, enclosures, and mounting hardware; expect to broaden your design and application experience. This position can be filled locally or hybrid with frequent travel to our facility in Mountain View, California.

Responsibilities

In your role as Sr. Harness Engineer you will work with the avionics, mechanical, and integration teams to define the harness architecture, including routing, bulkhead planning, and manufacturing and integration processes. You'll be responsible for the detailed design of both flight and test harnesses, and you'll be working with the production technicians and A&Ps to get the harnesses built and installed on the aircraft. You'll have the opportunity to design, install, and test your hardware on a remotely operated aircraft, and you'll be an instrumental part of how our hardware teams come together on the airplane.

Basic Success Criteria

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

  • 5+ years experience in electrical harness design

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

  • Experience defining routing and bulkhead requirements

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

  • A love of spatial packaging

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

Preferred Criteria

  • 8+ years experience in harness design and avionics packaging

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

  • Experience with NX routing and Capital Harness Designer

  • Experience working with safety critical hardware

  • Experience working on certification-path aviation development projects

  • Experience testing hardware to DO-160 requirements

We're a growing, motivated, fast-paced team of aviation professionals. We move quickly, and everyone wears multiple hats. We're looking for someone who is diligent and detail-oriented who can join our team and make an immediate impact.

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

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

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

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

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

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

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

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

Compensation Range: $180K - $260K

Apply for this Job
Not Specified
Sr. Mechanical Engineer
🏢 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.

The mechanical team is a small group of highly motivated people designing, testing, and flying advanced mechanical systems. We enjoy cradle-to-grave hardware ownership and hands-on build, test, and integration of our designs. As a Sr. Mechanical Engineer at Reliable Robotics, you will be an influential part of the Mechanical Engineering team helping to drive engineering methods and product quality. The hardware focus is on high reliability safety critical mechanisms and structures, with significant cross-functional development with the Systems, Avionics, GNC, Software, Manufacturing, and Flight Test teams. The position will be located at our facility in Mountain View, California, reporting to the Mechanical Engineering Manager.

Responsibilities

You will design, analyze, build, test, and fly a system of actuators, mechanisms, and structural modifications to enable remote piloted aircraft. Own your hardware from initial conception through flight test and certification...this is cradle-to-grave engineering with hands-on build, test, and integration. Lead cross-functional trades and drive performance and design decisions to closure. You will bring a sense of humility, and be ready to both learn and teach.

Basic Success Criteria

  • BS in mechanical or aerospace engineering, or equivalent experience

  • 5+ years professional experience developing mechanical systems

  • Mastery of at least one of the following areas: Design, Analysis, Manufacturing, Test, or Certification

  • Demonstrated successful project ownership

Preferred Criteria

  • Demonstrated understanding of structural analysis and failure modes of mechanical systems

  • Ability to assess and prioritize mechanical architectures for safety and reliability

  • Previous experience with aircraft or other safety-critical mechanical systems

  • Experience developing engineering infrastructure such as CAD systems, configuration management, PLM, ERP, and MRP systems

  • Design for manufacturability and volume production

  • Eagerness and ability to mentor junior engineers

  • Proactive problem solver

  • Excellent written and verbal communication skills

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

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

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

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

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

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

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

Compensation Range: $180K - $260K

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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
AV Field Engineer
Salary not disclosed
Santa Clara, CA 2 days ago

About Diversified:



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



What to Expect:



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



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



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

How You'll Contribute:



The Field Engineer is responsible for executing defined commissioning, configuration, and validation tasks on-site, ensuring AV and networked systems meet established baseline standards. This role focuses on developing technical independence, deepening system knowledge, and reinforcing adherence to internal processes and quality expectations. The Field Engineer collaborates with project teams and continues to build troubleshooting and communication skills in live environments.



What You'll Do:





  • Perform hands-on commissioning and configuration of AV and networked systems under guidance.

  • Verify system functionality against engineering documentation and quality standards.

  • Troubleshoot basic to moderately complex AV and network issues in the field.

  • Communicate progress, challenges, and findings clearly to project managers and senior engineers.

  • Load and configure DSP, control, and video systems to project requirements.

  • Execute equipment validation, labeling, and configuration based on standards.

  • Document field modifications and participate in punch list resolution.

  • Support client testing and handoff preparation alongside a senior member of the Configuration & Commissioning team.

  • Collect and maintain industry and manufacturer certifications relevant to the role.

  • Support resolution of service tickets by troubleshooting and addressing issues as needed.



Physical Working Environment:



Associate will spend most of the day on their feet moving around the job site. Must be able to occasionally lift at least 40 lbs and be able to climb ladders and stairs. Specific vision abilities required for this job include close vision, distance vision, peripheral vision, and depth vision. Must be able to hear. Work may be performed in an active construction site requiring appropriate PPE.



Travel:



Frequent travel by car and occasional airplane trips are required. Associate must possess a valid driver's license in their state of residence. Associate will be required to use their own vehicle and will be reimbursed for mileage at the current corporate rate. Local travel to job sites (within a 2-hour driving distance each way) usually makes up 70-90%, but remote travel can be up to 30% of the job. 10% remote travel is required on a regular basis.



What You'll Bring:



Education & Certifications:





  • Associates/degree required and/or equivalent experience.

  • AVIXA CTS certification

  • Extron AV Associate

  • Audinate Dante Level 1



Required Skills/Qualifications:





  • 1-3 years of industry experience in AV integration

  • Strong understanding of signal flow, IP networking basics, and AV systems.

  • Proficient with Microsoft Office 365

  • Able to communicate with the project team concisely, consistently, and appropriately.

  • Familiar with MTR and Zoom Rooms.

  • AVIXA CTS certification

  • Extron AV Associate

  • Audinate Dante Level 1

  • DSP certification from one or more of the following manufacturers: Biamp, QSC, BSS

  • Control certification from one or more of the following manufacturers: QSC, Extron, Crestron

  • Must be able to lift 40lbs.



Desired Skills/Qualifications:





  • Self-starter and requires little direct oversight to perform tasks

  • Experience deploying Microsoft Teams Rooms or Zoom Room solutions.

  • Experience performing onsite system validation and punch list closure.

  • Experience working on active construction sites with field safety practices.

  • Demonstrates strong interpersonal and customer-facing communication skills.

  • Field installation and/or system design experience

  • Knowledge or familiarity with broadcast or hybrid conference-live event systems

  • Able to commission and troubleshoot using only a virtual connection to the system with onsite support

  • Audinate Dante Level 2

  • Biamp Tesira Server

  • Q-Sys Level 2 and Control 201

  • Extron Certified Control Professional

  • Shure Integrated Systems Level 1



What We Offer:



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





  • Multiple medical plan options to suit your family's needs

  • Dental (including orthodontic coverage) and vision plans

  • Company paid Basic Life, AD&D, Short-Term and Long-Term Disability Insurance, and Employee Assistance Plan (EAP)

  • Healthcare and Dependent Care Flexible Spending Accounts (FSA)

  • 401k with Employer Match

  • Paid Time Off and Paid Holidays

  • Voluntary Benefits: Critical Illness, Hospital Indemnity, Accident Insurance, Pet Insurance, Homeowners and Auto Insurance, Supplemental Term and Dependent Life and AD&D, and Legal Services

  • Commuter Benefits

  • And much more



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



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



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



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



Not Specified
Sr. ML Ops Engineer, tvScientific
🏢 Pinterest
Salary not disclosed
San Francisco, 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.

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.



tvScientific is looking for a Senior MLOps Engineer! You'll be working with a distributed engineering team on our Connected TV ad-buying platform, as we scale our Machine Learning practice. We've cracked the code on optimizing TV ad campaigns. We're scaling massively and we need your help to make that scale sustainable.


An Idealab company, tvScientific was co-founded by executives with deep roots in programmatic advertising and digital media. tvScientific helps our clients buy ads across the CTV universe, from Hulu to PlutoTV to the ad-supported tier of Disney+ and (HBO) Max. Since our acquisition by Pinterest, we're expanding our work on CTV to lift search & social advertising performance.



What you'll do:



  • Scale the decisionmaking process for tools for the tvScientific AI team, from our workflows to our training infrastructure to our Kubernetes deployments
  • Improve the developer experience for the data science team
  • Upgrade our observability tooling
  • Serve as a technical lead and mentor to the team
  • Make every deployment smooth as our infrastructure evolves.


What we're looking for:



  • Deep understanding of Linux
  • Excellent writing skills
  • A systems-oriented mindset
  • Experience in high-performance software (RTB, HFT, etc.)
  • Software engineering experience + reliability (e.g. CI/CD) expertise
  • Strong observability instincts
  • Nice-To-Haves:

    • Reverse-engineering experience
    • Terraform, EKS, or MLOps experience
    • Python, Scala, or Zig experience
    • NixOS experience
    • Adtech or CTV experience
    • Experience deploying a distributed system across multiple clouds
    • Experience in hard real-time low-latency (
Not Specified
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