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About us

Pass App is on a mission to ignite financial freedom and true ownership for people everywhere. Each member of our team takes ownership and contributes a unique piece to our journey into the exciting realm of web3. Together, we craft more than just meaningful products and services—we create a lasting tangible impact in the real world.

We want you to join our search for greatness at the edge of what is technologically possible. Are you tired of the ordinary? Crave a challenge that sparks passion and purpose? We’d love to have you apply!

The role you’re applying for

As we aim to simplify the web3 experience, enhance user engagement through personalized recommendations, and take our users along in this journey of web3 awareness, we are leveraging cutting-edge AI technology to build a scalable web3 solution that abstracts away all the underlying complexity. With the expansion of our AI capabilities, we’re looking to onboard a Senior Data Scientist with a passion leveraging data to shape user-centric AI solutions in the rapidly evolving Web3 space. You will play a key role in building our recommendation systems and AI-assistant.

What you’ll be doing

• Perform advanced analytics and statistical modeling on on-chain and external (off-chain) data to derive actionable insights.
• Develop predictive models to forecast market trends, user behavior, and asset performance in the cryptocurrency space.
• Build and refine recommendation engines to enhance user experience, such as portfolio optimization suggestions, NFT recommendations, and tailored Web3 services.
• Collaborate with data engineers to ensure efficient data pipeline integration for real-time analytics.
• Design experiments and conduct A/B testing to validate the impact of recommendations and AI-driven decisions.
• Build AI agents that function as smart portfolio managers.
• Stay updated with emerging trends in blockchain analytics and data science methodologies.

What we’re looking for

• 5-7 years of strong background in building machine learning models and performing statistical analysis.
• Expertise in Python and data science libraries such as Pandas, NumPy, and Scikit-learn.
• Experience with big data platforms and query languages (e.g., SQL, Spark).
• Familiarity with time-series analysis and predictive modeling techniques.
• Ability to analyze large datasets from blockchain and Web3 platforms for sentiment analysis and behavioral patterns.

Nice to have:

• Familiarity with blockchain and Web3 ecosystems, including understanding of cryptocurrency markets.
• Experience with natural language processing (NLP) for extracting insights from social media or forums.
• Experience with building AI agents and the necessary guardrails for appropriate functioning.

We got you covered

Working remotely is more than just a benefit or a perk. We believe in the power of remote work to unleash creativity and passion. Join our globally remote team with 35+ different nationalities and enjoy the flexibility to work from anywhere in the universe. As long as you are available in the European working timezone.

Join our team and pursue your passions on your own terms, while we provide you with a competitive compensation package including attractive “crypto-native” bonuses, learning and development budgets, personal development plans and team retreats to fuel your web3 curiosity.

About us

Pass App is on a mission to ignite financial freedom and true ownership for people everywhere. Each member of our team takes ownership and contributes a unique piece to our journey into the exciting realm of web3. Together, we craft more than just meaningful products and services—we create a lasting tangible impact in the real world.

We want you to join our search for greatness at the edge of what is technologically possible. Are you tired of the ordinary? Crave a challenge that sparks passion and purpose? We’d love to have you apply!

The role you’re applying for

As we aim to simplify the web3 experience, enhance user engagement through personalized recommendations, and take our users along in this journey of web3 awareness, we are leveraging cutting-edge AI technology to build a scalable web3 solution that abstracts away all the underlying complexity. With the expansion of our AI capabilities, we’re looking to onboard a ML Ops Engineer to build cutting-edge AI/ML solutions in the emerging field of Web3, enhancing user engagement with personalized smart wallet features. You will play a key role in building our recommendation systems and AI-assistant.

What you’ll be doing

• Deploy and manage machine learning models for real-time recommendation systems and AI agents within the company’s smart wallet platform.
• Build robust, scalable, and low-latency ML deployment pipelines to handle real-time Web3 data streams.
• Optimize ML model inference times and integrate them seamlessly with APIs and backend systems.
• Design and maintain monitoring systems to evaluate deployed model performance and data drift.
• Collaborate with data scientists to convert experiments into production-grade solutions.
• Implement and maintain CI/CD pipelines for continuous model updates.
• Research and evaluate ML frameworks and tools for scalable deployment in a cloud-based environment.

What we’re looking for

• 5-7 years of experience working with ML deployment tools and frameworks like MLflow.
• Proficiency in Kubernetes, Docker, and cloud platforms such as AWS, GCP, or Azure.
• Expertise in API development and microservices for seamless ML integration.
• Knowledge of distributed computing for large-scale ML model deployment.
• Familiarity with model optimization techniques like quantization and pruning.
• Strong programming skills in Python, with experience in REST and GraphQL APIs.

Nice to have:

• Exposure to blockchain and Web3 technologies, especially handling on-chain/off-chain data for AI use cases.

We got you covered

Working remotely is more than just a benefit or a perk. We believe in the power of remote work to unleash creativity and passion. Join our globally remote team with 35+ different nationalities and enjoy the flexibility to work from anywhere in the universe. As long as you are available in the European working timezone.

Join our team and pursue your passions on your own terms, while we provide you with a competitive compensation package including attractive “crypto-native” bonuses, learning and development budgets, personal development plans and team retreats to fuel your web3 curiosity.

Team/ Role Paragraph: The Data Platform team builds and operates systems to centralize all of Coinbase's internal and third-party data, making it easy for teams across the company to access, process, and transform that data for analytics, machine learning, and powering end-user experiences. As a BE engineer on the team you will contribute to the full spectrum of our systems, from managing foundational processing and data storage, to building and maintaining scalable pipelines, to developing frameworks, tools, and internal applications to make data oriented services easily and efficiently available to other teams and systems.

What you’ll be doing:

• Build new services to meet critical product and business needs using Golang.
• Design scalable systems to solve novel problems with modern cloud technology and industry best practices.
• Articulate a long term vision for maintaining and scaling our backend systems and the teams running them.
• Work with engineers, designers, product managers and senior leadership to turn our product and technical vision into a tangible roadmap every quarter.
• Write high quality, well tested code to meet the needs of your customers. Debugging extremely difficult technical problems, and making systems and products both work better and are easier to deploy, own, operate and diagnose.
• Review all feature designs within your product area and across the company for cross-cutting projects. Be an owner of the security, safety, scale, operational integrity, and architectural clarity of these designs.

What we look for in you:

• You have at least 5+ years of experience in software engineering.
• You’ve designed, built, scaled and maintained production services, and know how to compose a service oriented architecture.
• You write high quality, well tested code to meet the needs of your customers.
• You’re passionate about building an open financial system that brings the world together.
• You possess strong technical skills for system design and coding
• Excellent written and verbal communication skills, and a bias toward open, transparent cultural practices.

Nice to haves:

• You have gone through a rapid growth in your company (from startup to mid-size).
• Experience with growth experiments or A/B testing frameworks.
• You have experience with Blockchain technology (such as Bitcoin, Ethereum etc..)
• You’ve worked with Golang, Docker, Rails, Postgres, MongoDB or DynamoDB.

Job Id : GPIN05IN

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About Outlier Ventures

Outlier Ventures is the leading Web3 accelerator in the world. Founded in 2014, it works with startups at various stages of their lifecycle from pre-seed/seed (via Base Camp) to later stage about to launch or live token networks that specialize in a new data economy, infrastructure, DeFi, and bringing together a network of 1,000+ of the world’s leading Web3 founders, protocols, VCs to mentor and invest in startups.

At Outlier Ventures, we value curiosity of mind and an agile, entrepreneurial mindset.

We value all people, regardless of their gender, age, disabilities, race, ethnic origin, pregnancy or maternity status, religious beliefs, political beliefs, marital status or sexual orientation. We encourage applicants from all backgrounds and are committed to promoting equality at every opportunity, both as partners, providers of services, and employers.

About The Role

Outlier Ventures is seeking a Head of Engineering to help source the best Web3 technologies and AI to use them with portfolio companies and within OV itself.

The Head of Engineering plays a strategic role in developing the technical direction starting from the CTO guidelines. You help portfolio companies and Outlier Ventures itself to find the best trade-offs by mixing Web2 tech with Web3 and AI tech stack in the most seamless way.

The Web3 ecosystem landscape is constantly changing, and because of that, looking, selecting, and staying updated with Web3 technologies plays a primary role. It offers an excellent opportunity to use your experience and practical approach to filter the noise from the signal.

You work with the rest of the Product & Engineering team to deliver first-class product and engineering advisory to the co-founders, CTOs, and engineers of the portfolio companies to bring new paradigms to life as they build viable businesses. We are here to ensure they can deploy the best, most scalable, and secure architectures possible.

Having strong communication and interpersonal skills is crucial to fostering collaboration between all the internal and external stakeholders (e.g. Startups, Investment Team, Accelerator Team, etc. )

Plus, because we are an accelerator, you will be involved in the admission process of startups. This is a fantastic opportunity to be part of the selection process that shapes the subsequent batches of founders. Practically, you will run solo or with other colleagues through tech due-diligence sessions where you learn and challenge applicants’ architectures, approaches, and business models.

We are looking for technical builders who love the Web3 movement, startups, and the growing AI industry.

The role is fully remote; if you are based in London, you are more than welcome to work in our London-based office.

Successful candidates will need to work London office hours (-+3 hours Timezone).

Your Key Responsibilities:

• In advisory capacity, run workshops about product roadmap best-practice and architectures in line with the startup’s long-term business outcomes.
• Help OV to build and execute on viable product roadmaps for leveraging technology, particularly AI, in its daily activity and create tools to empower the in house employees and expert teams.
• Being the line manager of the Product Engineers in the team and contribute to the growth of the Engineering practice by hiring, coaching, and mentoring.
• In advisory capacity, with the startups, identify technical blockers and come back with actionable alternatives considering the impact from an engineering and business perspective.
• Run architecture and code review sessions.

We are looking for someone who:

• Has a deep exposure to Web3 technologies and has built something hands-on (Solidity, Hardhat, EtherJs, etc.).
• Has been exposed to the hectic startup life either as a founder/employee/investor.
• Has 5 years experience in blockchain engineering roles.
• Knows distributed system architecture (e.g., Microservices, CQRS, Saga, Sharding, etc.).
• Is fluent in one or more general-purpose languages (e.g., TypeScript, Python, Go, Rust, Java).
• Is familiar with Domain Modelling, DevOps principles, containers, Testing, Continuous Integration, and Deploy.
• Understands the markers of a quality codebase (design patterns, testing, documentation, commit activity, CI/CD).
• Has strong interpersonal skills: ability to advise on technical direction and explain technical concepts to non-technical audiences.

Nice to have:

• Fundamentals of Solidity.
• Viem and/or Ether.js and/or Web3.js.
• React or any modern web framework.
• Software security training, particularly smart contract security.
• Knowledge of Machine learning and exposure to new LLM paradigms.

What we offer:

• The package is subject to relevant experience.
• Private medical insurance.
• Discretionary bonus scheme.
• 25 days of holiday per year (plus bank holidays).
• Cycle-to-work scheme.

The mission of the Platform Product Group engineers is to build a trusted, scalable and compliant platform to operate with speed, efficiency and quality. Our teams build and maintain the platforms critical to the existence of Coinbase. There are many teams that make up this group which include Product Foundations (i.e. Identity, Payment, Risk, Proofing & Regulatory, Finhub), Machine Learning, Customer Experience, and Infrastructure.

The Release team within Developer Experience is responsible for the systems and processes that allow the rest of Coinbase engineers to build and deploy software in a simple, safe and secure manner.

What you’ll be doing (i.e. job duties):

• Learn, build, improve, and maintain build and deployment systems written in Golang.
• Design scalable, fault-tolerant solutions to novel problems with modern cloud technology and industry best practices.
• Work with engineers and leadership to turn our product and technical vision into a tangible roadmap every quarter.
• Provide stellar customer support to our internal engineers.

What we look for in you:

• You have at least 2+ years of experience in software engineering.
• You’ve designed, built, scaled, and maintained backend services and infrastructure.
• You write high-quality, well-tested code to meet the needs of your customers.
• Strong problem solving skills and ability to identify problems, determine their root cause, and see them through to solution.

Nice to Have:

• Crypto-forward experience, including familiarity with onchain activity such as interacting with Ethereum addresses, using ENS, and engaging with dApps or blockchain-based services.

Job #: GPIN04US

#LI-Remote

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🚀 Whatnot

Whatnot is a livestream shopping platform and marketplace backed by Andreessen Horowitz, Y Combinator, and CapitalG. We’re building the future of ecommerce, bringing together community, shopping and entertainment. We are committed to our values, and as a remote-first team, we operate out of hubs within the US, Canada, UK, Ireland, and Germany today.

We’re innovating in the fast-paced world of live auctions in categories including sports, fashion, video games, and streetwear. The platform couples rigorous seller vetting with a focus on community to create a welcoming space for buyers and sellers to share their passions with others.

And, we’re growing. Whatnot has been the fastest growing marketplace in the US over the past two years and we’re hiring forward-thinking problem solvers across all functional areas.

💻 Role

We are looking for intellectually curious, highly motivated individuals to become foundational members of our Core Machine Learning team. You will help drive the development of Whatnot’s machine learning operations and work with machine learning engineers across the company to build scalable design patterns that can be repeatedly used to achieve key business goals. Our ideal candidate has experience in spinning up ML platforms e.g. real-time model serving, approximate nearest neighbor retrieval, high-concurrency and low-latency scaling, feature stores, and model lifecycle monitoring. They are also willing and able to flex into an applied research role to develop models that leverage their own components.

What you'll do:

• Drive the development of the machine learning platform roadmap, staying abreast of emerging business needs that the machine learning platform can help address.
• Enhance our machine learning infrastructure--increase reliability, reduce latency, and continually improve the developer experience.
• Develop scalable machine learning design patterns that make it easy for machine learning scientists and engineers to safely deploy models to production.
• Improve model training, management, and monitoring
• Take a leading role in deploying ML models on business critical surfaces & flows.
• Define and advance our technical approach to scalable machine learning.
• Flex outside your comfort zone to help take on new challenges that emerge

👋 You

Curious about who thrives at Whatnot? We’ve found that low ego, a growth mindset, and leaning into action and high impact goes a long way here.

As our next Software Engineer, Machine Learning you should have 5+ years of experience, plus:

• Bachelor’s degree in Computer Science, Statistics, Mathematics, Software Engineering, a related technical field, or equivalent work experience.
• 2+ years of professional experience setting up machine learning platforms–model serving, features stores, model registries, training pipelines, etc.
• 1+ years of professional experience developing software in Python
• Software engineering experience with a track record of applying practical methods to solve real-world problems on consumer scale data.
• Ability to work autonomously and drive initiatives across multiple product areas and communicate findings with leadership and product teams.
• Experience with operational, search, and key-value databases such as PostgreSQL, DynamoDB, Elasticsearch, Redis.
• Firm grasp of visualization tools for monitoring and logging e.g. DataDog, Grafana
• Familiarity with cloud computing platforms and managed services such as AWS Sagemaker, Lambda, Kinesis, S3, EC2, EKS/ECS, Apache Kafka, Flink, Spark.
• Professionalism around collaborating in a remote working environment and well tested, reproducible work.
• Exceptional documentation and communication skills.
• Experience in applied statistical and machine learning fields e.g. Recommendations, Search, Fraud & Anomaly Detection, Experimentation and Causal Analysis preferred.

💰Compensation

For US-based applicants: $205,000 - $275,000/year + benefits + stock options

The salary range may be inclusive of several levels that would be applicable to the position. Final salary will be based on a number of factors including, level, relevant prior experience, skills and expertise. This range is only inclusive of base salary, not benefits (more details below) or equity in the form of stock options.

🎁 Benefits

• Flexible Time off Policy and Company-wide Holidays (including a spring and winter break)
• Health Insurance options including Medical, Dental, Vision
• Work From Home Support
  • $1,000 home office setup allowance
  • $150 monthly allowance for cell phone and internet

• Care benefits
  • $450 monthly allowance on food
  • $500 monthly allowance for wellness
  • $5,000 annual allowance towards Childcare
  • $20,000 lifetime benefit for family planning, such as adoption or fertility expenses
• Retirement; 401k offering for Traditional and Roth accounts in the US (employer match up to 4% of base salary) and Pension plans internationally
• Parental Leave
  • 16 weeks of paid parental leave + one month gradual return to work *company leave allowances run concurrently with country leave requirements which take precedence.

💛 EOE

Whatnot is proud to be an Equal Opportunity Employer. We value diversity, and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, parental status, disability status, or any other status protected by local law. We believe that our work is better and our company culture is improved when we encourage, support, and respect the different skills and experiences represented within our workforce.

Apply Now:

🚀 Whatnot

Whatnot is a livestream shopping platform and marketplace backed by Andreessen Horowitz, Y Combinator, and CapitalG. We’re building the future of ecommerce, bringing together community, shopping and entertainment. We are committed to our values, and as a remote-first team, we operate out of hubs within the US, Canada, UK, Ireland, and Germany today.

We’re innovating in the fast-paced world of live auctions in categories including sports, fashion, video games, and streetwear. The platform couples rigorous seller vetting with a focus on community to create a welcoming space for buyers and sellers to share their passions with others.

And, we’re growing. Whatnot has been the fastest growing marketplace in the US over the past two years and we’re hiring forward-thinking problem solvers across all functional areas.

💻 Role

👋 You

• 4+ years of software engineering experience.
• Bachelor’s degree in Computer Science, a related field, or equivalent work experience.
• Knowledge of at least 3 languages (we primarily use Python, Elixir, JavaScript, and are open to others).
• Excellent product instincts. You first think about users rather than the best technical solution.
• You are known for shipping products and features lightning-fast.
• You’re an excellent problem solver and don’t need to be told exactly what to do.
• Comfortable working across the stack (backend and frontend).
• Ability to pick up on new technologies very quickly.
• Proven track record of delivering features.
• Product Management experience.
• AWS/DevOps.
• Startup experience at a high-growth company.

🎁 Benefits

• Flexible Time off Policy and Company-wide Holidays (including a spring and winter break)
• Health Insurance options including Medical, Dental, Vision
• Work From Home Support
  • $1,000 home office setup allowance
  • $150 monthly allowance for cell phone and internet
• Care benefits
  • $450 monthly allowance on food
  • $500 monthly allowance for wellness
  • $5,000 annual allowance towards Childcare
  • $20,000 lifetime benefit for family planning, such as adoption or fertility expenses
• Retirement; 401k offering for Traditional and Roth accounts in the US (employer match up to 4% of base salary) and Pension plans internationally
• Parental Leave
  • 16 weeks of paid parental leave + one month gradual return to work *company leave allowances run concurrently with country leave requirements which take precedence.

💛 EOE

Whatnot is proud to be an Equal Opportunity Employer. We value diversity, and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, parental status, disability status, or any other status protected by local law. We believe that our work is better and our company culture is improved when we encourage, support, and respect the different skills and experiences represented within our workforce.

Apply Now:

• Collaborate with quantitative researchers to understand their workflow, challenges, and requirements, and provide technical solutions to improve their research productivity
• Design, develop, and maintain software tools, platforms, and frameworks that enhance the efficiency and effectiveness of research activities, including data gathering, preprocessing, analysis, and model development
• Identify and implement advanced data processing techniques, algorithms, and statistical methods to optimize research workflows and enhance data analysis capabilities
• Leverage your expertise in software engineering, data engineering, and machine learning to build scalable and robust systems that facilitate large-scale data analysis and experimentation
• Conduct code reviews, provide technical guidance, and mentor junior research engineers to ensure code quality, maintainability, and adherence to best practices
• Collaborate with cross-functional teams, including quantitative researchers, data scientists, and engineering professionals, to integrate research tools and systems into the existing infrastructure
• Assist in the evaluation and implementation of third-party tools, libraries, and data sources that can enhance the research process
• Participate in research discussions, contribute ideas, and provide technical expertise to improve research methodologies and strategies
• Contribute to the development and maintenance of documentation, user guides, and training materials related to research tools and processes

• 4+ years experience working in close partnership with quantitative researchers to develop, deploy and maintain quantitatively-driven alpha strategies.Previous experience at a quantitative hedge fund is strongly preferred.
• Master's or Ph.D. in Computer Science, Engineering, Data Science, or a related field
• Strong Python programming skills, with a focus on building scalable and efficient systems
• Proficiency in data processing, analysis, and visualization tools, libraries, and frameworks
• Solid understanding of statistical modeling, machine learning techniques, and their practical applications in quantitative research
• Experience with AWS
• Excellent problem-solving skills and the ability to design practical solutions to complex research challenges
• Strong communication and collaboration skills to effectively work with cross-functional teams and translate research requirements into technical solutions
• Experience in recruiting, mentoring, and guiding junior team members is preferred

Are you keen to work in a well-resourced startup environment, where your ideas, experience, and drive to find creative solutions makes a difference? We’d like to hear from you.

The salary for this role is anticipated to be between $150,000 and $250,000. This anticipated salary range is based on information as of the time this post was created. This role may also be eligible for additional forms of compensation and benefits, such as a discretionary bonus, health, dental and other benefits plans. Actual compensation will be carefully determined based on a number of candidate factors, including their skills, qualifications and experience.

Apply Now: