Engineering Journal Jobs in Alameda Ca Remote

About Pinterest:

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

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

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

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

About tvScientific

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

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

What you'll do:

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

What we're looking for:

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

In-Office Requirement Statement:

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

Relocation Statement:

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

#LI-SM4

#LI-REMOTE

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

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

Our Commitment to Inclusion:

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 aSenior QA Engineer for its Web Platformwith strong expertise inweb and API testing. This role requires a balance ofmanual testing excellenceandautomation skills, with a focus on validating end-to-end user flows across frontend, backend services, and APIs.

You will partner closely with frontend engineers, backend engineers, product managers, and designers to ensure our web platform and APIs are reliable, secure, and performant.

What you'll do:

• 
  
• Own and drivequalityfor web platform features, spanning UI, APIs, and backend services
  
• Design and executemanual test casesandexploratory testingfor complex web and API workflows
  
• Conduct thorough regression testing when bugs are resolved.
  
• Build and maintainautomated test suitesfor:
  
• Validatefrontend-backend integration, data consistency, and error handling
  
• PerformAPI contract testing, schema validation, and negative/edge-case testing
  
• Collaborate with engineers duringdesign, implementation, and code reviewsto improve testability and catch issues early
  
• Integrate automated tests intoCI/CD pipelinesto provide fast, reliable feedback
  
• Analyze test failures, investigate root causes, and drive issues to resolution
  
• Advocate for quality best practices, includingshift-left testing, risk-based testing, and automation strategy
  
• Identify, document, and track software defects using bug tracking tools like Jira.
  
  

What we're looking for:

• 
  
• Experience in QA / Quality Engineering, with a strong focus onweb platforms and APIs
  
• Proven hands-on experience withmanual testingof complex, consumer-facing web applications
  
• Strong experience building and maintainingAPI testsusing tools such as Postman, REST-assured, Supertest, or similar
  
• Hands-on experience withweb automation frameworks(Playwright, Cypress)
  
• Solid understanding ofHTTP, REST and API design principles
  
• Proficiency in at least one programming or scripting language (JavaScript, TypeScript)
  
• Experience working inAgile/Scrumenvironments
  
• Strong debugging, analytical, and communication skills
  
• Strategic partnership with stakeholders /Cross-functional collaboration that is high-trust and high-velocity
  
• Nice-to-Haves:
  
  • 
    
  • Experience testinglarge-scale, high-traffic web platforms
    
  • Familiarity withReact or modern frontend frameworks
    
  • Experience withperformance, load, or reliability testingfor APIs and web applications
    
  • Exposure to feature flags, experimentation platforms, or observability tools
    
  
  
  

In-Office Requirement Statement:

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

Relocation Statement:

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

#LI-SM4

#LI-REMOTE

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

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

Our Commitment to Inclusion:

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.

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

What you'll do:

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

What we're looking for:

• 
  
• 7+ years of industry experience, including 2+ years of management experience.
  
• Experience with:
  
  • 
    
  • developing and deploying large-scale machine learning systems in search and recommendations.
    
  • big data technologies (e.g. Hadoop, Spark) and scalable realtime systems that process stream data (e.g Kafka, Flink).
    
  • applying NLP models and LLMs to content understanding and recommendation systems.
    
  
  
• Experience building and leading high performing teams within a visible business vertical .
  
• Experience working with numerous cross functional partners to drive a collective initiative.
  
• Bachelors degree in a technical field, or equivalent work experience.
  

Relocation Statement:

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

In-Office Requirement Statement:

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

#LI-REMOTE

#LI-DM57

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

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

Our Commitment to Inclusion:

Job Summary:

We are seeking a skilled Electrical Maintenance Engineer to join our team. The ideal candidate will be responsible for designing, developing, and testing electrical systems and components.

Job responsibilities:

1. Responsible for installation, commissioning, operation, maintenance and transformation of the equipment to ensure the normal operation of the equipment.

2. Responsible for electrical installation, commissioning and maintenance of equipment.

3. Responsible for the fault diagnosis and elimination of the electrical system of the equipment, timely solve the equipment failure, and ensure the stable operation of the production line.

4. Responsible for the maintenance and maintenance of the electrical system of the equipment, formulate and implement the maintenance plan of the equipment.

5. Responsible for the technical transformation and upgrading of the electrical system of the equipment to improve the performance and efficiency of the equipment.

6. Participate in the introduction of new equipment and technical exchanges, provide technical support and suggestions.

7. Participate in the safe production management of the equipment, formulate and implement the safe operation procedures of the equipment.

Job Requirements:

1. Bachelor's degree or above, major in electrical engineering and automation, or related.

2. More than 3 years of equipment electrical maintenance experience.

3. Familiar with the principle of electrical control, proficient in PLC programming and debugging.

4. Familiar with the working principle and operation process of automation equipment and production line.

5. Have a good team spirit and communication skills, can work under pressure.

6. Have strong ability to analyze and solve problems, and can independently deal with equipment failures.

7. Familiar with relevant laws and regulations and safety standards, with safety awareness.

The company is a recognized leader in the commercial faade industry, specializing in innovative glazing and curtain wall systems across North America. Known for executing complex, high-value projects with precision and professionalism, they are expanding their national project management team to keep pace with growing demand. Their approach blends craftsmanship with cutting-edge technologyand they're seeking forward-thinking professionals who can lead from anywhere.

The company is seeking a Remote Project Manager with deep experience in commercial glazing or curtain wall systems. This role is ideal for someone who thrives on ownership, excels at remote coordination, and can lead multimillion-dollar faade projects from preconstruction through closeout.

You'll manage every phase of the project lifecycleleveraging digital tools, strong communication, and a process-driven mindset to deliver on time, on budget, and on spec. While you won't be on site every day, your presence will be felt through structured collaboration, proactive planning, and a firm grasp of what it takes to keep complex installations moving forward.

Minimum three years of experience managing glazing or curtain wall projects.

Demonstrated success managing commercial construction projects remotely.

Expertise in architectural, structural, and fabrication drawings.

Strong knowledge of curtain wall, storefront, ACM, or unitized faade systems.

Comfortable leading project updates, vendor negotiations, and client coordination remotely.

Proven ability to manage contracts, track costs, and mitigate risk.

Degree in Construction Management, Engineering, or a related field (or equivalent experience).

Familiarity with Bluebeam, Procore, AutoCAD, or PM platforms.

Existing network of glazing vendors and subcontractors.

Fully remote work with flexible hours.

Collaborative, experienced, and high-performing team.

Opportunities for professional growth and leadership.

Impactful, high-visibility projects across the U.S.

Competitive compensation and benefits package.

Culture that values clarity, accountability, and trust.

Join our team at Johnson/Turner!

We are excited to add attorneys to our growing family law team!

• We answer the call.
• We do what(ever) it takes.
• We are bold innovators.
• We are optimistic.
• We are Friends-in-Law.
• We care about each other.

Do our core values speak to you? If so, we'd love to meet you.

We are particularly interested in candidates with 2+ years of experience in family law.

At our firm, you don't have to choose between doing great legal work and having a life outside of it. We combine high-level advocacy with a genuinely collaborative culture and a true commitment to work-life balance. We are incredibly proud to have received a 2025 Minneapolis/St. Paul Business Journal Best Places to Work award.

Our strong Team Approach means our attorneys spend their time doing the work attorneys are meant to do - craft legal arguments, devise creative strategies, analyze complicated facts and law, provide legal advice, persuade judicial officers & negotiate settlements.

We get to do this work with the support of a tremendous Team of professionals, collaborating to deliver top notch service to our clients. Our Team includes Sr. Paralegals who do the majority of initial drafting, Client Service Specialists who triage client calls and assist with document collection, a Life Coach who works with clients on the non-legal aspects of family law, Intake and Sales Professionals who meet with potential clients to sign them up for legal services, a Marketing Team who crafts and delivers our message to potential clients, an Accounting Team who works closely with clients to build successful payment plans and an IT and Innovation Team who ensures our technology runs seamlessly and reliably, and leads us with cutting edge solutions to keep us ahead.

We have a culture of learning - we host ongoing substantive & procedural legal training, professional development on leadership, communication, assertive advocacy, & relationship building with your team. Our Attorney & Paralegal Teams actively engage with one another literally daily to collaborate on complex issues and nuanced challenges.

We only consider candidates who are team players, who have positive attitudes, compassion for clients, a strong work ethic, and an enthusiasm for innovation.

We are a growing law firm that values our culture, strives for excellence, dreams big and has a lot of fun along the way.

Attorneys at Johnson/Turner Legal enjoy the following benefits:

• Better Compensation plan – Base salary, plus a formulaic monthly incentive plan based on performance metrics.
• You are supported by industry-leading training, systems, workflows, software and automation - all making you a better lawyer.
• Your clients will be provided to you. You have no sales and marketing responsibilities – so you can keep your focus on serving clients and practicing law well.
• No hourly billing – our cases are handled with flat fee packages of service.
• You are part of a Team that is second to none.

Pay: From $95,000.00 per year, and commensurate with experience

Benefits:

• 401(k)
• 401(k) matching
• Dental insurance
• Health insurance
• Health savings account
• Life insurance
• Paid time off
• Vision insurance

Work Location: Hybrid remote in Twin Cities Metro Area, Duluth Area, Rochester Area

Location Details: United States - Remote

At GoDaddy the future of work looks different for each team. Some teams work in the office full-events or offsites. This is a remote position, so you'll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or offsites.

This position is not eligible to be performed in Alaska, Mississippi, North Dakota, or the Virgin Islands.

GoDaddy is not currently considering candidates for this role in California, Seattle, or NYC.

Join our team 

Do you want to be an Information Security Leader at GoDaddy? GoDaddy's Product Security group is looking for a Principal Security Engineer to join our organization. Can you solve large scale and cross-company issues, while ensuring that partnership with the development and operational communities remains in front of mind?

GoDaddy is looking for a Principal Security Engineer to apply their hands-on technical skills, strong leadership abilities, and an eagerness to design solutions to complex problems. You must be comfortable with communicating to stakeholders, performing security assessments and prioritizing security risks, creating/presenting high-quality deliverables.

What you'll get to do...

• Identify security threats in applications and infrastructure and provide remediation mentorship to system owners.
• Join forces with SRE and development teams to find new and creative ways to reduce the occurrence of vulnerabilities at scale.
• Build repeatable/reusable security processes and frameworks.
• Review quality issues and work towards detecting security flaws both obvious and discrete.
• Assist with scoping prospective projects, participating in projects from kickoff through "definition of done" via end-to-end ownership.
• Use your industry experience to own and drive resolution and retest complex security events, policy questions and technical security risks.

Your experience should include...

• 7+ years of progressive security engineering experience across Security Architecture, Cryptography, Network, Cloud, Mobile, and Web Security.
• Skilled in Secure Development Lifecycle, Security by Design, and Shift Left methodologies.
• Proficient in Threat Modeling, Architecture Review, Penetration Testing, Code Review, SAST, and DAST.
• Strong scripting abilities in languages such as Python, C, C++, Java, Ruby, and PowerShell.
• Adept at applying security best practices for compliance, with excellent problem-solving and communication skills.

You might also have...

• Bachelor's degree in computer science or related field.
• Master's degree or PhD in Computer Science or related field.
• Hosting industry and/or cloud Experience.
• Experience in hardware security.

We've got your back... We offer a range of total rewards that may include paid time off, retirement savings (e.g., 401k, pension schemes), bonus/incentive eligibility, equity grants, participation in our employee stock purchase plan, competitive health benefits, and other family-friendly benefits including parental leave. GoDaddy's benefits vary based on individual role and location and can be reviewed in more detail during the interview process.

We also embrace our diverse culture and offer a range of Employee Resource Groups (Culture). Have a side hustle? No problem. We love entrepreneurs! Most importantly, come as you are and make your own way. 

About us...  GoDaddy is empowering everyday entrepreneurs around the world by providing the help and tools to succeed online, making opportunity more inclusive for all. GoDaddy is the place people come to name their idea, build a professional website, attract customers, sell their products and services, and manage their work. Our mission is to give our customers the tools, insights, and people to transform their ideas and personal initiative into success. To learn more about the company, visit About Us. 

At GoDaddy, we know diverse teams build better products—period. Our people and culture reflect and celebrate that sense of diversity and inclusion in ideas, experiences and perspectives. But we also know that's not enough to build true equity and belonging in our communities. That's why we prioritize integrating diversity, equity, inclusion and belonging principles into the core of how we work every day—focusing not only on our employee experience, but also our customer experience and operations. It's the best way to serve our mission of empowering entrepreneurs everywhere, and making opportunity more inclusive for all. To read more about these commitments, as well as our representation and pay equity data, check out our Diversity and Pay Parity annual report which can be found on our Diversity Careers page.

GoDaddy is proud to be an equal opportunity employer. GoDaddy will consider for employment qualified applicants with criminal histories in a manner consistent with local and federal requirements. Refer to our full EEO policy.

Our recruiting team is available to assist you in completing your application. If they could be helpful, please reach out to  

Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.

GoDaddy doesn't accept unsolicited resumes from recruiters or employment agencies.

Location: United States

At GoDaddy the future of work looks different for each team. Some teams work in the office full-time; others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely.

This is a remote position, so you'll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings.  

This position is not eligible to be performed in Alaska, Mississippi, North Dakota, or the Virgin Islands.

GoDaddy is not currently considering candidates for this role in California, Seattle, or NYC.

Join Our Team

We are looking for an experienced leader in experimentation methodology to join our core Applied ML team. The Applied AI and Machine Learning team handles large-scale data to support many business areas. We develop a cohesive navigation experience across channels and web pages. Our goal is to simplify and improve the shopping experience for everyday entrepreneurs worldwide, helping them quickly find what they need on our website.

In this leadership role, you will enhance the strategic direction of our experimentation methodology efforts. You will use simulations and reinforcement learning, ensuring consistency with business objectives, and supporting cross-functional teams in data-informed experimentation solutions. You will guide teams working at the intersection of large-scale foundation models, multi-agent systems, and RL-based optimization, encouraging a culture of collaboration, innovation, and technical excellence.

What you'll get to do...

• Define and drive the strategic roadmap for AI driven experimentation methodology, aligning initiatives with organizational goals and business impact
• Supervise and mentor teams of scientists and engineers, providing technical guidance and career development
• Promote meticulous experimentation, including the development of simulation environments and robust evaluation frameworks using machine learning and RL
• Collaborate with product, engineering, and business teams to translate research outcomes into scalable, production-ready experimentation solutions
• Facilitate knowledge sharing and cultivate a collaborative, innovative environment across the Applied ML team and broader organization

Your experience should include...

• 3+ years of professional experience managing and leading high-performing teams, including mentoring and coaching team member to achieve organizational goals
• 5+ years of professional experience in experimentation methodology, Reinforcement Learning, and software development 
• 2 + years of professional with experimentation platforms, data pipelines, and analytical tools to guide methodological rigor
• A deep understanding of statistical principles, causal inference, and experimental design for large-scale digital products
• A track record of partnering effectively with experimentation platform teams, product managers, and business stakeholders to drive data-informed decision-making
• 5+ years of professional experience translating complex statistical concepts into actionable insights for technical and non-technical audiences
• The ability to define and implement a vision for experimentation best practices across diverse product areas

You might also have...

• Master's in computer science or equivalent quantitative fields

We've got your back... We offer a range of total rewards that may include paid time off, retirement savings (e.g., 401k, pension schemes), bonus/incentive eligibility, equity grants, participation in our employee stock purchase plan, competitive health benefits, and other family-friendly benefits including parental leave. GoDaddy's benefits vary based on individual role and location and can be reviewed in more detail during the interview process.

We also embrace our diverse culture and offer a range of Employee Resource Groups (Culture). Have a side hustle? No problem. We love entrepreneurs! Most importantly, come as you are and make your own way. 

About us...  GoDaddy is empowering everyday entrepreneurs around the world by providing the help and tools to succeed online, making opportunity more inclusive for all. GoDaddy is the place people come to name their idea, build a professional website, attract customers, sell their products and services, and manage their work. Our mission is to give our customers the tools, insights, and people to transform their ideas and personal initiative into success. To learn more about the company, visit About Us. 

At GoDaddy, we know diverse teams build better products—period. Our people and culture reflect and celebrate that sense of diversity and inclusion in ideas, experiences and perspectives. But we also know that's not enough to build true equity and belonging in our communities. That's why we prioritize integrating diversity, equity, inclusion and belonging principles into the core of how we work every day—focusing not only on our employee experience, but also our customer experience and operations. It's the best way to serve our mission of empowering entrepreneurs everywhere, and making opportunity more inclusive for all. To read more about these commitments, as well as our representation and pay equity data, check out our Diversity and Pay Parity annual report which can be found on our Diversity Careers page.

GoDaddy is proud to be an equal opportunity employer. GoDaddy will consider for employment qualified applicants with criminal histories in a manner consistent with local and federal requirements. Refer to our full EEO policy.

Our recruiting team is available to assist you in completing your application. If they could be helpful, please reach out to  

Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.

GoDaddy doesn't accept unsolicited resumes from recruiters or employment agencies.