Senior Software Engineer, Elementus

Machine Learning, Generative AI

$175-225k

A sign-on bonus and stock options may be provided as part of the total compensation package

TypeScript

Python

Java

Tensorflow

Scikit-Learn

PyTorch

Senior level

New York

3+ days a week in office

Universal blockchain search engine

Job no longer available

Universal blockchain search engine

21-100 employees

FintechB2BCryptocurrencyEnterpriseSaaSBlockchain

Job no longer available

$175-225k

A sign-on bonus and stock options may be provided as part of the total compensation package

TypeScript

Python

Java

Tensorflow

Scikit-Learn

PyTorch

Senior level

New York

3+ days a week in office

21-100 employees

FintechB2BCryptocurrencyEnterpriseSaaSBlockchain

Company mission

To bring more transparency to the blockchain ecosystem, while building trust and accountability across the crypto markets in the process.

Job

Company

Role

Who you are

Proven experience as a Product focussed Machine Learning Engineer or similar role
Prior experience building new Product Experiences powered by AI
Understanding of data structures, data modeling, and software architecture
Deep knowledge of math, probability, statistics, and algorithms
Ability to write robust code in Python (and in Java/Typescript is a plus)
Familiarity with machine learning frameworks (PyTorch/HuggingFace/TensorFlow) and libraries (like scikit-learn)
Strong communication skills to work closely with Product Lead and other stakeholders to translate Product needs and explain technical concepts
Bachelors in Computer Science, Mathematics, or a similar field; a Master’s degree is a plus

What the job involves

As a member of the engineering team, you will be responsible to help us propel our current platform with AI-centric solutions
This is an on-site role and the expectation is that the engineer would work from office 3 days a week
The engineer in this role will be responsible to work with the product team while proposing and implementing AI capabilities using data across heterogeneous sources, leveraging machine learning modes including LLM, NLP, and similar modern AI tools to process unstructured/structured data
You will be responsible for designing, building, and maintaining a new generation of machine learning pipelines that will enable real-time analytics/insight discovery for our users
Collaborate with product and other cross-functional teams to research and propose feasible AI capabilities for the product
Build and maintain the infrastructure to test, train, deploy, and scale new models or fine-tune pre-trained off-the-shelf models
Build and maintain scalable ML pipelines that will power the front-end capabilities of our product
Research and propose ideas on incorporating structured and unstructured data from heterogeneous sources to improve the effectiveness of the models
Be curious about the latest developments in the field and actively leverage any necessary improvements that would benefit the overall effectiveness of the product and user experience

Our take

Blockchain is sparking the next wave of innovation through the transmission of value, but it remains extremely difficult to use and analyze. This has led to numerous issues, such as proliferation of scams and hacks, lack of information on investment opportunities, and even potential for serious crimes like money laundering. As a result, for many consumers the industry is seen as too risky to enter, holding back the blockchain's potential.

Elementus wants to fix this. In a nutshell, it has created the first universal blockchain search engine and institutional-grade crypto forensic solution, aimed at making the blockchain easier to navigate.

The company operates within both the public and private sectors. In the public sector, its aim is to help the government "catch bad guys" - perpetrators of ransomware, human traffickers, and cybercriminals. In the private sector, it works with financial institutions at risk of regulatory or reputational risks should they, for example, accept laundered money or work with sanctioned entities.

Following a very strong year for Elementus in 2022 - in which it tripled its valuation from $52M to $160M and doubled its team - the company is well set further its dominating position in the market.

Steph

Company Specialist at Welcome to the Jungle

Insights

Top investors

Glassdoor (2.6)

Company

Funding (last 2 of 7 rounds)

Feb 2023

$10m

SERIES A

Jun 2022

$9.9m

SERIES A

Total funding: $45m

Company HQ

Financial District, New York, NY

Leadership

Max Galka

(Co-Founder and CEO)

Also the founder of FOIA Mapper and ex-lecturer in data science at the University of Pennsylvania.

Salary benchmarks

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