Gauntlet continuously publishes cutting-edge research, making us the most cited in peer reviewed articles in the DeFi industry. We’re a Series B company with 40 employees operating remote-first but primarily in New York City.

Responsibilities

Build agent-based simulations of smart contracts and blockchain networks using our Python SDK
Design and optimize incentive models for blockchain protocols and help discover potential attack vectors
Contribute to making our simulation model and platform world-class
Build data models and visualizations of public blockchain data and simulation results that provide intuitive analytics to customers
Qualifications

3+ years of professional engineering experience
Proficient at writing code in Python or similar interpreted languages
Experience with scientific computing packages such as Numpy/Scipy, Jupyter, Pandas, etc
Experience with distributed computation frameworks such as Spark, Flink, TensorFlow
Strong communication skills and the ability to work collaboratively in a distributed team environment
Bonus Points

Experience working in the crypto industry is a plus but not required! Enthusiasm for the space, especially DeFi, is very much desired
Smart contract development experience (e.g. Solidity)
Experience with building machine learning models at scale
Published or presented research/content in the space
Benefits and Perks

Remote first - work from anywhere!
Regular in-person company retreats and cross-country “office visit” perk
100% paid medical, dental and vision premiums for employees
Laptop, monitor, keyboard and mouse setup provided
$1,000 WFH stipend upon joining
$100 per month reimbursement for fitness-related expenses
Monthly reimbursement for home internet, phone, and cellular data
Unlimited vacation
100% paid parental leave of 12 weeks
Fertility benefits
Opportunity for incentive compensation
Please note at this time our hiring is reserved for potential employees who are able to work within the contiguous United States and Canada.


Simulation & Machine Learning Engineer

The Department: Data

Data is central to all of our business functions and drive many of our most important decisions at Gemini. As a result, the analysts, scientists, and engineers that make up the Data team are uniquely positioned to advise and influence cross-functional projects. These projects cover a wide-range of topics including product strategy, user acquisition and journey, cryptocurrency performance and project development, and crypto’s position as a technology, industry, and asset class within the context of the global financial markets at large.

The Role: Senior Machine Learning Engineer (Python)

The Data Science team and AI stack are looking for senior data scientists and machine learning engineers who are interested in solving diverse and complex business problems. You will leverage your experience and communication skills to work across business teams to build and develop innovative machine learning models and algorithms. 

Responsibilities:

Be able to distill complex models and analysis into compelling insights for our stakeholders and executives
Ensure data quality throughout all stages of acquisition and processing, including such areas as data sourcing/collection, ground truth generation, normalization, transformation, cross-lingual alignment/mapping, etc.
Develop new tools and solutions to enable stakeholders to consume and understand data more intuitively
Stay up-to-date with data science tools and methodologies in technology and financial domain
Knowledge of probability and statistics, including experimental design, predictive modeling, optimization, and causal inference. Experience in design and deployment of real-world, large-scale, user-facing systems
Manage your own process: identify and execute on high impact projects, triage external requests, and make sure you bring projects to conclusion in time for the results to be useful

Qualifications:

Masters or PhD(preferred) in Statistics, Applied Math, Computer Science or related fields
4+ years of work experience in analytics and data science domain focusing on business problems
3+ years of experience deploying statistical and machine learning models in production
2+ years of experience in integrating data science models into applications
Skilled in programming languages like Python, Java/C++/C# and SQL
Sound knowledge in dealing with large data sets for analytical approach and quantitative methods
Solid understanding of machine learning fundamentals, and familiar with standard algorithms and techniques
Good understanding of deep learning algorithms and workflows
Ability to analyze a wide variety of data: structured and unstructured, observational and experimental, to drive system designs and product implementations
Good understanding of cloud computing and infrastructure concepts
Experience with one or more big data tools and technologies like Snowflake, Databricks, S3, Hadoop, Spark
Experience working with NLP applications is a plus
Experience with financial markets and/or retail finance is a plus. Specifically, across market making, trading, risk management, orderbooks, portfolio management, credit cards and fraud. 
Strong technical and business communication

It Pays to Work Here

We take a holistic approach to compensation at Gemini, which includes:

Competitive Compensation and Profit-Sharing Equity
Flexible vacation policy
Retirement Plan Matching
Generous Parental leave
Comprehensive health plans
Training and professional development


Senior Machine Learning Engineer

The global financial ecosystem is changing. Revolutionary blockchain technology has unlocked the potential for people around the world to have more equal access to wealth and information. This transformation has begun with the mass global adoption of cryptocurrencies but like all new financial systems, it needs greater trust to realize its full potential and remain safe from bad actors. That’s where we come in. The Chainalysis blockchain data platform enables businesses, governments, and banks to solve the world’s most high-profile criminal cases, paving the way for an economy built on blockchains. 

ML Engineers are embedded in our blockchain analytics teams within Engineering. This team partners with research and investigation teams, helping mastermind the algorithms and models that solve cases ranging from Twitter hacks to bringing down one of the largest child abuse networks in the world. ML Engineers in the Data Intelligence group have a deep understanding of various protocols, are experts at identifying transaction patterns, develop new techniques to analyze blockchain data and participate in complex investigations if needed. We measure success by the insights we can surface to our customers about the activity on a given blockchain and the accuracy of those insights.

In one year you’ll know you were successful if…

You have earned the ins and outs of our blockchain analysis techniques
Developed new techniques and algorithms that are used in production
Conducted complex investigations that resulted in success for our customers
Have become an expert in analyzing one or more blockchains
Contributed to the effectiveness and velocity of team deliverables
A background like this helps: 

A solid understanding of graph models, algorithms, analysis, and frameworks
Proven experience with running batch and streaming based analytical models in production
Understanding of efficient data structures, algorithms and computational complexity
Planned, built, and owned production systems
Experience with Python, Pandas, and SQL
The versatility and willingness to learn new technologies on the job
The ability to clearly communicate complex results to technical and non-technical audiences
Bias for action
The following would differentiate you:

Deep understanding of one or more blockchains from both a protocol and data perspective
Experience with statistical analysis on real world datasets
Experience with big data technologies like Hadoop or Spark
Build and deployed production models using frameworks like Keras, TensorFlow, and/or PyTorch
Experience with graph traversal and computation
Data Visualization experience using matplotlib, ggplot, bokeh, d3.js etc
Experience with Java and/or Scala
 

#LI-BD1 #LI-Remote

At Chainalysis, we help government agencies, cryptocurrency businesses, and financial institutions track and investigate illicit activity on the blockchain, allowing them to engage confidently with cryptocurrency. We take care of our people with great benefits, professional development opportunities, and fun.

You belong here. 

At Chainalysis, we believe that diversity of experience and thought makes us stronger. With both customers and employees around the world, we are committed to ensuring our team reflects the unique communities around us. Some of the ways we’re ensuring we keep learning are an internal Diversity Committee, Days of Reflection throughout the year including International Women’s Day, Juneteenth, Harvey Milk Day, and International Migrant’s Day, and a commitment to continue revisiting and reevaluating our diversity culture. 

We encourage applicants across any race, ethnicity, gender/gender expression, age, spirituality, ability, experience and more. Additionally, if you need any accommodations to make our interview process more accessible to you due to a disability, don't hesitate to let us know. You can learn more here. We can’t wait to meet you.  


We are searching for a talented Social Media Intern to represent us by building a social media presence for our brand. The Social Media Intern will be required to run advertising campaigns and drive engagement by creating high-quality original content. You should also engage influencers, manage our community by responding to comments, and oversee our customer service across all platforms.

To be successful as a Social Media Intern, you should possess a wealth of pertinent marketing experience. Ultimately, a top-notch Social Media Intern should back their expertise by creating and sharing all relevant technical documents.

The duration of the internship is 3 months. It is an evaluative unpaid internship with the possibility of return offers, depending on the company's needs.

Our goal is to invest in all our interns so they can one day become eminent thinkers in the sector.

Responsibilities
Running company social media advertising campaigns.
Formulating high-quality novel written and visual content for each social media campaign.
Building a social media presence by maintaining a solid online presence.
Monitoring the company's brand on social media.
Building brand awareness by engaging relevant influencers.
Managing our online communities to ensure respectful and appropriate engagement.
Responding to comments on each of our accounts.
Overseeing customer service provided via social media.
Analyzing data to determine whether social media campaigns have achieved their objectives.
Coaching employees company-wide on content creation best practices.

Requirements
Social Media Marketing experience.
Experience developing social media strategies.
Experience working with and developing a marketing plan.
Ability to develop the right voice for each social media platform.
Proven ability to build social media communities.
Understanding of graphic design principles.
Experience as a Brand Manager on social media.
Ability to measure the success of campaigns.
Highly skilled in writing and marketing blockchain and cryptocurrency specific content
Authorized to work in the United States. Visa sponsorship is not available
*Compensation *

Internships come with deferred compensation and profit-sharing depending on your role.
A permanent position will be made available for the right candidate as we scale.

Great mentorship and opportunity to develop your analytical writing/marketing skills.

How to apply
Send us a thoughtful cover letter, resume and writing samples /links to Social Media content (preferably related to blockchain & crypto).

Please Note
All applicants must be authorized to work in the United States. Blockwell will not sponsor applicants for work visas.

Social Media Intern - only US

Responsibilities
Manage office administration including vendors, deliveries, mail, cleaning staff, inter alia
Manage various office accounts including grocery accounts, couriers, service providers and more
Manage inbound mail to the office, assist with executing on outbound mail and packages as needed
Manage team lunch daily for on-site employees
Develop and maintain positive working relationships with staff, internal departments and outside parties, including high-level contacts of a sensitive nature
Work with team to arrange in person team off-sites and on-sites (for remote employees) including bookings, organizing logistics, on-site amenities and activities
Assist with events on-site such as quarterly events with the network and dinners every other month
Assist with community efforts, including stock management of corporate swag, shipping of corporate swag, reorders from suppliers, etc.
Your secondary responsibilty will be to assist C-level executives with various administrative matters, ranging from meetings management, travel booking, HR and more. You will report directly to the Chief of Staff.

Responsibilities
Work closely with C-level executives, assisting with their varying administrative needs which will vary on a daily basis
Assist with HR management such as coordinating compliance trainings
Make business travel arrangements and manage and communicates travel itineraries
Assist with the scheduling of meetings, both virtual and on-site.
Ensure meeting attendees have appropriate information including directions and maps

Requirements
3+ years previous experience working closely with the management of startup company
Bachelor’s degree
Organized, has developed a system to manage different priorities
Responsible and reliable
Outstanding communication, organizational, and problem-solving skills; demonstrable initiative, creativity, and flexibility
Ability to parse important information easily and communicate that succinctly to management
Comfortable interacting both with engineers and executives
A can-do "make it happen" attitude: you are comfortable making decisions with little supervision or direction (we don’t micromanage at Numerai)
Tech-savvy - existing knowledge of computer programs and ability to quickly learn new programs
Experience completing complex projects or drafting project scope end-to-end with little direction
Bonus: previous experience as an office manager or office assistant
Bonus: previous experience as an administrative assistant or executive assistant
Bonus: interest in AI/ML

Benefits
Medical - Blue Shield PPO, incl. dependents
Dental, vision - Principal, incl. dependents
Flexible PTO + work hours
Free drinks / snacks in the office and daily lunch (which you will help organize:))
Gym membership a block from the office
Corporate massages monthly
Team events outside of work hours - happy hours, dinners, game nights, hikes, karaoke and more

Salary negotiable based on fit and experience.

Office Manager and Executive Assistant

The Stack
Python (Pandas, Numpy, Scikit-Learn)
AWS (S3, EC2, Batch)
Airflow
Terraform, Docker
Postgres, MySQL

The Role
Your role as a quantitative data engineer is to work on all the systems that ingest, store, transform, and serve data in Numerai. You will be asked to source new interesting datasets, build models to determine their value, and research how to best incorporate them into our strategy and our data science tournament dataset. You will be working closely with our ML engineers and researchers to design and build datasets, with our product and backend engineers to integrate data pipelines and services, and with our infrastructure team to ensure all systems are running smoothly.

As a senior engineer, you will be expected to own and lead major projects while actively raising the engineering bar across the entire organization. You will work with other senior engineers to architect robust and performant systems and processes. You will work closely with management to translate business objectives into technical requirements, align projects and goals with key metrics, and grow the engineering team.

Example Projects
Research, trial, purchase, and integrate new datasets to further enrich our equities data collection, and enable better prediction of stock movement.
Take ownership of existing tournament and hedge fund data pipelines and ensure timely delievery of all critical datasets. Build tools and processes to improve the scalability, reliability, and observability of these pipelines without sacrificing developer velocity.
Research, implement, and test transformations to the dataset to improve machine learning performance.
Design and build a canonical data platform for all datasets and data tables. Define and enforce SLAs for delivery. Define and enforce data quality standards by writing data integrity tests. Create a data staging environment to support end to end integration testing.
Design and build metrics to measure the performance, cost, usage, and efficiency of all data systems. Use these metrics to drive tactical and strategic improvements to the overall system.

Requirements
Experience building machine learning models in production
Experience with Quantiative Finance Data
Experience building data platforms and APIs
Excellent written communication (design docs, specs, documentation, code reviews, post-mortems)
Extreme ownership
Good general systems knowledge and debugging skills
Willing to work extended hours and on weekends if necessary
Strong interest in machine learning, quantitative finance, and decentralization

Machine Learning Jobs

6+ companies hiring Machine Learning experts at top blockchain companies.

Simulation & Machine Learning Engineer

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Social Media Intern - only US

Office Manager and Executive Assistant

Quant Data Engineer

Services

Community