Eversys Coffee Machine Price Jobs in Usa

Job Title: Pricing Actuary

Division: Finance - Actuarial

Reports To: Lead Pricing Actuary - Cyber & Executive Risks

Key Relationships: Underwriters and business managers, Beazley actuaries, Claims managers, Data Management and Ceded Reinsurance teams, regulators, external actuaries, brokers.

Job Summary: Actuarial pricing for the Cyber Risks Division and the Executive Risks classes (within the Specialty Risks Division) at Beazley

Key Responsibilities:

Technical

• Provide pricing support to the Cyber & Executive Risks underwriting teams at Beazley; pricing support includes (as required):

• Developing pricing tools that support the estimation of price adequacy and rate change

• Performing portfolio and transactional pricing analyses

• Performing segmental and trend analyses

• Performance monitoring (e.g. rate change and price adequacy metrics)

• Develop, maintain and review pricing models to the required standards

• Contribute effectively to the production of the relevant reports required for any key committees where required.

• Provide training to underwriters in pricing; this includes technical pricing and rate change requirements

• Understand and support the underwriting controls related to pricing and relevant regulatory principles

• Understand and apply the pricing quality assurance process

• Assist in other projects undertaken by the actuarial team e.g. liability transfer valuations and business planning analyses

• Operate as an effective team member by supporting colleagues and contributing in the delivery and achievement of overall team and business objectives

• Build your technical pricing skills and experience

• Provide support and mentoring to the junior members of the team

• Keep abreast of industry best practice, new initiatives and changes in regulatory requirements

• Build and maintain constructive working arrangements with those groups identified as being key to your role

• Work with the underwriters, exposure management, claims managers, Data Management and Ceded Reinsurance to ensure the quality and appropriateness of the data used for pricing; ensure the necessary data is captured from pricing tools to enhance future pricing capabilities

• Maintain pricing model documentation with required frequency, obtaining the appropriate managerial sign-offs

• Identify opportunities and contribute to delivering improvements in the pricing processes and methodologies

• Undertake professional, technical and career development training (delivered internally and externally); this includes pursuing the actuarial qualification where applicable

General

It is important that within all your interactions both internally and externally you adhere to Beazley's core values - Being Bold, Striving for Better, and Doing the Right Thing - as they contribute to an internal environment of teamwork and promote a positive brand image and experience to our external customers. We also expect Beazley employees to:

• Comply with Beazley procedures, policies and regulations including the code of conduct which incorporates the PRA and FCA Conduct.

• Undertake training on Beazley policies and procedures as delivered by your line manager, the People & Sustainability or assurance teams (compliance, risk, internal audit) either directly, via e-learning or the learning management system.

• Display business ethics that uphold the interests of all our customers

• Ensure all interactions with customers are focused on delivering a fair outcome, including having the right products for their needs.

• Comply with any specific responsibilities necessary for your role as outlined by your line manager, the People & Sustainability or assurance teams (compliance, risk, internal audit) and ensure you keep up to date with developments in these areas. This may include, amongst others, Beazley's underwriting control standards, Beazley's claims control standards, other Beazley standards and customer relationship management.

• Carry out additional responsibilities as individually notified, either through your objectives or through the learning management system. These may include membership of any Beazley committees or working groups.

Personal Specification:

Essential Criteria

• Actuarial qualification

• Pricing experience; with specialty (re)-insurance market knowledge desirable

• Firm grasp of actuarial / statistical techniques used in pricing

• Understanding of reinsurance and capital with application to pricing

Education and Qualifications

• University degree in Mathematics or related field

Skills and Abilities

• General commercial and financial knowledge

• Competent user of MS Excel; VBA, Access, Python, SQL and R skills desirable

• Strong analytical skills with attention to detail; accurate and numerate

• Able to communicate effectively both verbally and in writing

• Team worker as well as able to work on own initiative

• Ability to manage time, meet deadlines and prioritise

Aptitude and Disposition

• Outcome focused, self-motivated, flexible and enthusiastic

• Professional approach to successfully interact with team members, internal and external stakeholders

Competencies

• Achievement and solution focused

• Analytical

• Information seeking

• Stakeholder focus

• Using initiative

• Having integrity

• Taking responsibility

• Attention to detail

Who We Are:

Beazley is a specialist insurance company with over 30 years' experience helping people, communities and businesses to manage risk all around the world. Our mission is to inspire our clients and people with the confidence and freedom to explore, create and build - to enable businesses to thrive. Our clients want to live and work freely and fully, knowing they are benefitting from the most advanced thinking in the insurance market. Our goal is to become the highest performing sustainable specialist insurer.

Our products are wide ranging, from cyber & tech insurance to marine, healthcare, financial institutions and contingency; covering risks such as the weather, film production or protection from deadly weapons.

Our Culture

We have a wonderful mix of cultures, experiences, and backgrounds at Beazley with over 2,000 of us working around the world.Employee's diversity,experience and passion allow us to keep innovating and moving forward, delivering the best. We are proud of our family-feel culture at Beazley that empowers our staff to work from when and where they want, in an adult environment that is big on collaboration, diversity of thought and personal accountability. Our three core values inspire the way we work and how we treat our people and customers.

• Be bold

• Strive for better

• Do the right thing

Upholding these values every day has enabled us to become an innovative and responsive organization in touch with the changing world around us - our ambitious inclusion & diversity and sustainability targets are testament to this.

We are a flexible and innovative employer offering a friendly, collaborative, and inclusive working environment. We actively encourage and expect applications from all backgrounds. Our commitment to fostering a supportive and dynamic workplace ensures that every employee can thrive and contribute to our collective success.

Explore a variety of networks to assist with professional and/or personal development. Our Employee. Networks include:

• Beazley RACE - Including, understanding and celebrating People of Colour

• Beazley SHE - Successful, High potential, Empowered women in insurance

• Beazley Proud - Our global LGBTQ+ community

• Beazley Wellbeing - Supporting employees with their mental wellbeing

• Beazley Families - Supporting families and parents-to-be

We encourage internal career progression at Beazley, giving you all the tools you need to drive your own career here, such as:

• Internal Pathways (helping you grow into an underwriting role)

• iLearn (our own learning & development platform)

• LinkedIn Learning

• Mentorship program

• External qualification sponsorship

• Continuing education and tuition reimbursement

• Secondment assignments

The Rewards UK

• The opportunity to connect and build long-lasting professional relationships while advancing your career with a growing, global organization.
• Attractive base compensation and discretionary performance related annual bonus
• Private medical insurance coverage for both you and your dependents
• Company paid life assurance and long term disability insurance
• Pension with 10% employer contribution, plus a further matched contribution up to 2.5%
• 25 days of annual leave (prorated for 1st calendar year of employment), plus public holidays, with the ability to flex the religious bank holidays to suit your religious beliefs, subject to approval. Additional annual leave purchase is also available up to a maximum of five additional days per year.
• Up to 2.5 days matched paid leave for volunteering at a charity of your choice and 5 days paid leave to provide or arrange care for a dependent with a long term care need annually

About Pinterest:

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

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

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

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

With more than 550 million users around the world and 300 billion ideas saved, Pinterest Machine Learning interns help build personalized experiences to help Pinners create a life they love. With just over 3,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you'll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won't find anywhere else.

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

Note to applicants:

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

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

We offer 2 internship start dates:

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

What you'll do:

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

What we're looking for:

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

Why Intern at Pinterest?

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

In-Office Requirement Statement:

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

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

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

US based applicants only

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

#LI-HYBRID
#LI-EB1

Our Commitment to Inclusion:

About Pinterest:

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

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

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

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

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

What you'll do:

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

What we're looking for:

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

Relocation Statement:

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

#LI-SA1

#LI-REMOTE

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

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

Our Commitment to Inclusion:

Open date: February 26, 2026

Next review date: Thursday, Mar 12, 2026 at 11:59pm (Pacific Time)

Apply by this date to ensure full consideration by the committee.

Final date: Saturday, Mar 28, 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.

The Advanced BioImaging Center (ABC) in the Department of Molecular and Cell Biology at the University of California, Berkeley seeks applications for a Professional Researcher at the Assistant, Associate, or Full rank. The selected candidate will be appointed at the rank to commensurate with prior experience. The position will report to Professor Gokul Upadhyayula, with Professor Eric Betzig serving as an additional academic mentor. The researcher will conduct independent research at a level comparable to the Professor series.

The Advanced BioImaging Center (ABC) at UC Berkeley aspires to be a world-leading multidisciplinary imaging center that drives important biological discoveries through critical new advances in all aspects of imaging technology and that drives the dissemination of that technology through a multi-pronged education strategy to scientists around the world. ABC was intentionally designed to maximize scientific productivity and impact by adopting groundbreaking imaging technologies such as the next-generation adaptive optical multifunctional microscope, incorporating the high-level technical expertise of instrumentation scientists, applied mathematicians, and computational scientists, and building worldwide collaborations aimed at tackling the challenges posed by terabyte and petabyte-scale imaging data processing, visualization, and dissemination. Members of the ABC have access to leading - edge imaging and computing hardware, as well as exposure to collaborators from a range of diverse disciplines, including in the fields of Artificial Intelligence, Data Science, Mathematics, and more.

This position will focus on advanced, independent research leading the ABC computational team to develop vision-transformer-based foundation machine learning models. The Researcher will work closely with an interdisciplinary team of optical physicists, engineers, and computational imaging researchers to achieve the ambitious goal of creating a generative AI model for segmenting and querying complex 4D high-resolution data of zebrafish development. This is an exciting opportunity to contribute to advancing biological imaging and AI-driven data analysis at the intersection of biology and computational science.

As this project grows, the individual will be expected to expand their leadership and adapt to the evolving scope of the research. The role will begin with leading efforts to supervise data collection and management, model development, and collaborating with leadership across the center. The researcher will build and manage a team of data scientists, and computational biologists to test AI-driven imaging models and will facilitate scientific collaborations with local, domestic, and international researchers. This position will take on a growing role and contribute to a groundbreaking initiative in biological imaging.

Key Responsibilities:

*Conduct and design independent research and lead a team of data scientists and software engineers to enable the development of state-of-the-art AI models for light sheet microscopy data.

*Collaborate with experts in optical physics, engineering, and computational imaging to support a foundational AI model for high-resolution developmental biology data.

*Conduct and lead experimental design, data acquisition, and data analysis pipelines to ensure optimal data quality.

*Facilitate and maintain scientific collaborations with local, domestic, and international researchers as the project expands.

*Publish research findings in high-impact journals and presenting at scientific conferences.

*Supervise and mentor graduate students, postdoctoral fellows, staff scientists, and academic research titles involved in machine learning and biological data analysis.

*Lead the development of new AI models and data processing tools for datasets generated on multicellular tissues, organoids, transparent embryos.

*Oversee the design and development of new machine learning tools for petabyte-scale light sheet datasets that are typically 4D or 5D (x,y,z,t,chemistry).

*Advise on applications of these tools for biological imaging; collaborate with graduate students, postdoctoral fellows and academic research titles on specific projects to test, learn and implement for general and specific use cases.

*Bring cross disciplinary expertise to solve problems at the intersection between life science, computer vision, and state-of-the-art AI methods.

*Identify and study scaling laws for machine learning models on large-scale 5D light sheet datasets.

*Organize and plan on the design and development of new AI techniques to further ABC's mission.

Lab:

PhD (or equivalent international degree)

Two (2) years of post PhD research experience.

For consideration for Associate Researcher rank, a minimum of 8 years of post PhD research experience as a group leader or principal investigator (PI) supervising a team of PhD-level scientists in industry or academia.

For consideration for full Researcher rank, a minimum of 14 years post PhD research experience, including a minimum of 8 years of experience leading a team as a principal investigator (PI) at the university level or in industry with demonstrated success managing graduate students, postdoctoral researchers, technicians, or equivalent positions.

*PhD or equivalent international degree in Data Science, Computer Science, Bioinformatics or Related field.

*Hands-on experience with developing machine learning models for large-scale light sheet microscopy.

*Strong publication record indicating research independence and leadership.

*Excellent communication, organizational, and leadership skills.

*Proven track record of interdisciplinary collaboration, especially in integrating machine learning with biological research, physics, engineering, or computational fields.

*Demonstrated experience working with large-scale biological datasets, including experience with computational image analysis.

*Demonstrate understanding of optical microscopy, including light sheet microscopy, adaptive optics, and modern scientific cameras.

*Demonstrated ability to work in a research team, manage active collaborations with other academic groups.

*Demonstrated experience handling and processing large scale imaging datasets (>100TB to petabyte scale and beyond).

*Expertise in programming in C/C++, MATLAB, Bash.

*Expertise in databases, data infrastructure, data governance.

*Expertise in high performance computing using SLURM or LSF.

*Experience with PyTorch, JAX, or Tensorflow.

*Experience with NVIDIA CUDA and related OpenMP programming.

*Experience with cloud services (AWS, GCP, Azure, etc.).

*Experience with state of the art AI/ML architectures (vison transformers, diffusion models, etc.).

*Experience supervising and mentoring undergraduate/graduate students, and/or technicians.

*Ability to effectively communicate, participate in efficient and open collaboration, and engage with a diverse group of researchers.

*The ideal candidate will be innovative and able to synergize various ideas and approaches, while exercising sound judgment to evaluate and take acceptable risks.

*Expertise in leading teams in executing machine learning projects, as evidenced by last author peer-reviewed publications within their scientific discipline.

*Readiness to scale efforts and grow with the expanding scope of the project, including building and managing a team and facilitating collaborations.

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

  
  

• Cover Letter

  
  

• Research Statement - Please discuss research accomplishments and proposed plans. This can include, for example, your publication record, awards, presentations, inclusive research practices that promote the excellence of your research, and areas for future research.

  
  

• 3 required (contact information only)

Help contact:

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
  

About Pinterest:

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

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

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

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

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

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

What you'll do:

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

What we're looking for:

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

Relocation Statement:

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

#LI-HYBRID

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

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

Our Commitment to Inclusion:

About Pinterest:

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

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

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

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

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

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

What you'll do:

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

What we're looking for:

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

Relocation Statement:

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

#LI-HYBRID

#LI-SM4

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

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

Our Commitment to Inclusion:

Pricing Manager

Virginia Transformer Corp

Location: Roanoke, VA

On the heels of achieving 3X growth, Virginia Transformer is hiring to do it again!

We’re strategically building our team for the next 3X growth cycle — a phase that is both intense and incredibly rewarding. We’re highly selective about who joins us, because this journey isn’t for everyone.

If you have the drive, grit, and expertise to perform at a high level — and you want to grow your career 3X alongside the Company’s growth — we’d love to talk.

Apply below and let’s start the conversation.

Who We Are

Virginia Transformer is the largestU.S.-owned producer of power transformers in North America, and we’ve been able to grow the past 50-plus years through an unwavering focus on delivering for our customers. We’re more than 5,800 people strong and are known throughout the industry for being an engineering company that makes premium quality transformers in the shortest lead times.

As a privately held, organically growing company, we thrive on nimbleness, innovation, and tenacity.

Join Our Team

If you love the thrill of securing the U.S. electric grid, enabling all manufacturing in the country, and the energy of a fast-moving train — this is the place for you. We train hard, grow together, and lead with purpose. Every transformer we build is custom, every challenge unique, and every team member essential.

We’re looking for those ready to lead, fueled by commitment, and driven by impact. We are growing so fast that all our available roles are not yet posted, so let us know if you are interested and we will follow-up.

Position Summary

Virginia Transformer Corp, a leading manufacturer of power transformers and electrical infrastructure solutions, is seeking a Pricing Manager to lead pricing strategy, quotation governance, and margin optimization across the organization.

This role will work closely with sales, engineering, finance, supply chain, and operations to ensure competitive and profitable pricing for transformer products and services. The Pricing Manager will play a key role in supporting the company’s growth by developing data-driven pricing strategies, improving quote accuracy, and enhancing commercial decision-making across utility, renewable energy, industrial, and EPC markets.

Key Responsibilities

Pricing Strategy & Governance

• Develop and implement pricing strategies that support revenue growth, margin optimization, and market competitiveness.
• Establish and maintain pricing policies, guidelines, and approval structures.
• Evaluate market conditions, competitor pricing, and industry trends to inform pricing decisions.

Quote & Proposal Support

• Partner with sales and inside sales teams to develop pricing for transformer bids, RFQs, and large project proposals.
• Review and approve pricing for major opportunities to ensure alignment with profitability targets.
• Ensure pricing structures reflect technical complexity, manufacturing costs, lead times, and project risks.

Cost & Margin Analysis

• Work closely with engineering, operations, and supply chain to analyze product cost structures.
• Conduct margin analysis across product lines, customer segments, and markets.
• Identify opportunities to improve pricing discipline and overall profitability.

Market Intelligence

• Monitor industry trends within power transformers, utilities, EPC projects, renewable energy, and industrial power markets.
• Benchmark company pricing against competitors and market dynamics.
• Provide insights and recommendations to sales leadership and executive management.

Process Improvement & Tools

• Improve pricing processes and workflows to increase speed, accuracy, and transparency in quoting.
• Support the development and maintenance of pricing tools, cost models, and CRM systems.
• Help standardize pricing methodologies across product lines and customer segments.

Cross-Functional Collaboration

• Work closely with sales leadership, finance, engineering, and operations to align pricing decisions with company objectives.
• Support negotiations on large or strategic customer opportunities.
• Provide pricing guidance for long-term contracts, framework agreements, and strategic partnerships.

Qualifications

Education

Bachelor’s degree in Business, Finance, Engineering, Economics, or related field required.

MBA or advanced degree preferred.

Experience

• 7–12 years of experience in pricing, commercial finance, sales operations, or strategic pricing.
• Experience in manufacturing, electrical equipment, power infrastructure, utilities, or industrial markets strongly preferred.
• Familiarity with complex engineered products and project-based pricing environments.

Skills & Competencies

• Strong analytical and financial modeling skills
• Ability to interpret technical product specifications and manufacturing cost structures
• Excellent collaboration and stakeholder management abilities
• Experience working with RFQs, bids, and large project proposals
• Strong communication and negotiation support skills
• Proficiency in Excel, ERP systems, and CRM tools

What We Offer

• Opportunity to work with a leading manufacturer in the power infrastructure sector
• Competitive compensation and benefits
• Relocation assistance offered, if relocating
• A collaborative environment with strong cross-functional engagement
• The opportunity to influence pricing strategy and commercial performance

About Virginia Transformer Corp

Virginia Transformer Corp is one of North America’s leading manufacturers of power transformers and electrical infrastructure solutions, serving utilities, renewable energy developers, data centers, and industrial customers. With decades of expertise and a commitment to innovation, the company provides critical equipment that powers modern energy systems and infrastructure.

Job Title: 60;Machine Operator 1

FLSA Status: 60; 60;Non-Exempt

Department: 60;Operations

Reports to: 60;Assistant Manager, Superintendent or Assistant Superintendent

GENERAL DESCRIPTION / PURPOSE:

Machine Operator 1 (MO1), a field based position, is responsible for operating, maintaining, and repairing company railway maintenance and inspection equipment. This position can operate Lorams on track MOW equipment and/or on track vehicles with supervision in both operating and travel modes. In this role you may be assigned to various types of equipment platforms dependent on business needs and demands.

ESSENTIAL JOB FUNCTIONS:

Safety Focused

• Ability to lead a comprehensive and appropriate job briefing during operations shifts, maintenance shifts, and while conducting maintenance tasks.
• Consistently follows safe work processes, procedures and rules
• Understands on track safety and can explain specifics when asked
• Able to locate all emergency equipment and demonstrate correct operation

Machine Operations and Technical Knowledge 60; 60;

• Conducts machine inspections to identify problems, defects, changes, and hazards and communicates conditions to the operator or supervisor and performs common repairs as instructed. Provides accurate feedback that allows machine leadership to make maintenance decisions
• Accurately records and reports common parts used to supervisor, including floor stock
• Performs maintenance and repairs according to set schedules and policies
• Accurately describes gauge and HMI functions as they relate to machine operation
• Demonstrates the ability to document and complete daily field reporting, personal expense reporting, field lodging, and other administrative reporting as necessary

BEHAVIORAL COMPETENCIES:

• Safety Awareness
• Values Based
• Learning on the Fly
• Action Oriented
• Listening
• Personal Learning

Experience:

Internal: 3+ Months Experience working with Loram equipment or equivalent in a 24/7 environment; Some assignments require Excavator experience. 60; Meet all relevant or applicable pre-qualifications as noted in the general description for this role and Lorams career development matrix.

External: 2+ Years Demonstrated technical skills such as mechanical, electrical, hydraulic and machine operations. 2+ Years Demonstrated ability to learn communicate verbally and in writing and learn best practices

Licenses/Certifications: 60; Maintain Railroad Certifications, CPR/First Aid, valid Drivers License

Slots 1+ year experience Heavy equipment operator (Backhoe, Excavator, or alike). 60; Heavy Maintenance/ Construction equipment maintenance. 60; Basic administration computer skills. Working knowledge of data systems and remote equipment operations cellar or tethered. 60; 60; 60;

Aurora - Minimum of 1 year computer or technology background. 1 year of working knowledge working with MS Windows. 60; Preferred radiation experience. 60; Commercial Drivers License or able to obtain a Class B. 60;

PREEMPLOYMENT REQUIREMENTS:

• This position requires successful completion of a pre-employment physical examination and role-specific assessments. Components may include DOT Physical Exam, Regulated (DOT) DS/BAT, Human Performance Evaluation (HPE), and Audiogram.
• 60;Position requires successful completion of an eVerifile/eRailSafe background check as required by Lorams railroad customers. Ongoing eligibility is subject to compliance with eRailSafe standards.
• 60;Must possess and maintain a valid drivers license. A Motor Vehicle Record (MVR) check will be conducted upon hire and annually thereafter in accordance with Lorams Driving Policy.
• Successfully pass a pre-employment drug and alcohol test.

WORKING CONDITIONS: 60;

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of the role. 60; Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

• 100% travel, including international, using any method of transportation.
• Ability to apply high levels of cognitive, analytical, retention and reasoning.
• Excellent communication skills used within any social context.
• Can stand, sit, walk, reach, balance, stoop, kneel, hear, taste and smell.
• Can see up close, distances, colors and has use of peripheral vision and depth perception.
• Can tolerate variable and sometimes extreme physical conditions during visits or inspections of company equipment in a railroad environment.

Loram determines compensation based on factors such as skills, competencies, education, and/or experience. Certain positions may be eligible for an annual bonus and paid time off in addition to base compensation.

Starting pay for the position is between $20.00 - $21.00

Location: Shakopee, MN

Job Type: Full-time

Reports to: Weekend Production Supervisor

Schedule: Friday - Sunday, 6am - 6pm

Compensation: $20.00 - $23.00/hour with $2.00 shift differential, depending on experience and qualifications

Benefits: Medical insurance, Dental insurance, Vision insurance, Company paid Life insurance and Long-term disability, Short-term disability insurance, 401k with company match, Profit sharing, Voluntary Accident, Critical Illness, and Hospital Indemnity insurance, Paid Time Off

This position is not eligible for sponsorship.

Family-owned and operated since 1995, By the Yard proudly manufactures maintenance-free outdoor furniture and accessories for families and businesses throughout the United States. From the factory to the showroom, we infuse our operations with eco-consciousness. Our furniture has been made from recycled milk jugs since day one, and we continue to focus on green initiatives to build better furniture and a better future. Check us

Our values include:

Pride

Stewardship

Caring

Teamwork

Mutual Success

Investing in the community

Under the direction of the supervisor, operate machines, tools, and equipment in the Mill Room to complete orders to the highest quality.

Essential Duties and Responsibilities:

• Machine material to meet part specifications utilizing work instructions and/or patterns.
• Ensures accurate completion of paperwork; verify part quality and quantities.
• Setup and operate a variety of saws, drill press, CNC machines, hand drills and other hand tools.
• May operate forklift if certified.
• Follow part specifications to produce machined parts by setting up and operating a CNC machine.
• Follows all work orders provided by management.
• Remains compliant with housekeeping standards and all safety and work rules and regulations.
• Recommends new and better processes, and methods where possible to manager.
• Maintains a clean, organized, and debris free work area.
• May perform some assembly.
• Must have the ability to identify and resolve problems in an efficient manner.
• Perform other duties and responsibilities as requested or required.

While these areas are the primary focus of this position, we believe strongly in teamwork and team members will be called upon to perform a variety of duties as part of their role with By the Yard.

An individual in this position must be able to successfully perform the essential duties and responsibilities listed above. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of this position.

MINIMUM QUALIFICATIONS:

High school diploma or equivalent.

Experience using tools and equipment.

Perform basic mathematical calculations.

Understand and follow written, verbal and demonstrated directions.

Must have the ability to work closely and efficiently with fellow co-workers.

Must have great organizational skills and be able to multi-task.

Excellent attention to detail.

Must have strong knowledge of quality production.

General knowledge of and ability to use a computer.

Must have strong knowledge of quality production.

PREFERRED QUALIFICATIONS:

2 years or more relevant production or manufacturing experience.

Previous experience operating a variety of saws, drill press, CNC machines, hand drills and other hand tools.

PHYSICAL AND MENTAL DEMANDS:

While performing the duties of this job, the employee is required to regularly stand, and frequently walk, talk or hear. The employee is frequently required to use hands, fingers, handle, or touch objects, tools, or controls. The employee must occasionally stoop, bend or reach above the shoulders, lift and/or move up to 50 pounds, carrying and moving parts, materials, and product. Specific vision abilities required by this job include close vision, distance vision, color vision, and the ability to adjust focus.

The mental and physical requirements described here are representative of those that must be met by an individual to successfully perform the essential functions of this position.

Compensation details: 20-23 Hourly Wage

PI7c871191bb98-26289-39958995

• With minimum assistance from Lead, the operator will perform all standard set up within standard time on router; operating, troubleshooting, and machine service as required.
• Adjust machining parts, tooling, including sharpening tools on surface grinders or pedestal grinders.
• Set-up and operation of equipment - Multiple Spindle (Davenport/Chucker).
• Responsible for producing and maintaining high level quality parts per print specifications.
• Work with various types of material such as Titanium, Aluminum, and other stainless steel.
• Perform first piece verification process per part print as required.
• Run multiple machines as required which maintaining high quality parts, efficiency, and productivity per standard time on router.
• Perform Preventative Maintenance per daily schedule.
• Take initiative to perform daily 5S in assigned area and machinery.
• Active involvement in autonomous maintenance and process improvements initiatives.
• Understand and perform statistical process control.
• Perform other duties as assigned to meet facility goals.
• Follow EHS Policies, Procedures, and report all incidents/injuries immediately.
  

• High school diploma or GED.
• 2-years' experience operating machinery.
• Employees must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. Visa sponsorship is not available for this position.