Principal Machine Learning Engineer, Altana AI

$210-270k

All full-time employees receive a competitive new hire equity grant, and may be eligible for additional bonus compensation depending on role

AWS

GCP

Python

Tensorflow

Azure

NumPy

Pandas

Scikit-Learn

PyTorch

Keras

Expert level

Boston

New York

San Francisco Bay Area

Supply chain visibility platform

Open for applications

Supply chain visibility platform

101-200 employees

B2BArtificial IntelligenceEnterpriseLogisticsBig dataSupply ChainSaaS

Open for applications

$210-270k

All full-time employees receive a competitive new hire equity grant, and may be eligible for additional bonus compensation depending on role

AWS

GCP

Python

Tensorflow

Azure

NumPy

Pandas

Scikit-Learn

PyTorch

Keras

Expert level

Boston

New York

San Francisco Bay Area

101-200 employees

B2BArtificial IntelligenceEnterpriseLogisticsBig dataSupply ChainSaaS

Company mission

Altana AI's mission is to improve global commerce.

Job

Company

Role

Who you are

BS degree in Computer Science, Data Science, or equivalent experience
Passionate about applying SOTA ML techniques to solve real world applied problems and willingness to get your hands dirty in the data and domain to achieve measurable outcomes
10+ years of professional experience as a data scientist or machine learning engineer with proven track record of delivering functional product oriented ML solutions
Extensive experience with Python Machine Learning toolsets (Tensorflow, PyTorch, Scikit-learn, Numpy, Pandas)
Proven track record of ownership and delivery of projects with major organizational impact
You care deeply about engineering excellence, supportability and knowledge-sharing
You have strong written and verbal communication skills
You are curious, always learning, and keep a close eye on latest developments in the fields of Machine Learning and Artificial Intelligence

Desirable

Prior experience building and tuning large language models (Bert, LLaMA, or similar)
Familiarity with prompt engineering and chain-of-thought prompting for LLMs
Experience in multi-modal ML on text and images, and text and structured features
Working knowledge of cloud services like AWS, Azure, or GCP

What the job involves

Develop, deploy and continuously improve machine learning models powering Altana’s classification, risk screening, network analysis, and entity resolution capabilities
Build and maintain supportable, scalable and evolvable machine learning pipelines
Work in a cross-functional team with software engineers, data scientists and product managers to generate new business ideas and enhance our product offerings
Evaluate and recommend new tools, technologies, and best practices for machine learning development and deployment
Keep up-to-date with the latest advancements in machine learning and artificial intelligence to stay current on emerging techniques and trends

Our take

Altana AI’s platform provides a shared source of truth for the global supply chain. The idea is that this will help businesses and governing powers optimize global commerce which, over the past few years, has shot up on the list of international priorities. With three quarters of businesses reporting recent supply chain disruptions, and governments increasingly concerned with mitigating security threats, data-driven visibility is more sought after than ever before.

Crucially, the platform doesn’t require data sharing to create global intelligence, instead using a federated machine learning approach. This is a nut many big-data companies have been trying to crack, and Altana AI’s success has attracted the company interest from top-tier investors like Google Ventures and Floating Point alongside contracts with the UK Department of Business & Trade. A number of other headline enterprises and government agencies are already on the company's customer roster.

With companies looking to recoup some of the $4 trillion reportedly lost in supply chain disruptions over recent years, and the push for global databases getting stronger, logistics startups are having a fruitful investment period. Altana is crafting a remarkable product at a highly marketable time, and with good uptake so far. Backed by substantial funding, Altana is set for a strong few years.

Steph

Company Specialist at Welcome to the Jungle

Insights

Top investors

Few candidates hear
back within 2 weeks

26% employee growth in 12 months

Glassdoor (3.4)

Company

Funding (last 2 of 5 rounds)

Jul 2024

$200m

SERIES C

Oct 2022

$100m

SERIES B

Total funding: $323.5m

Company benefits

Comprehensive healthcare package
Paid parental leave of 3 months for the primary caregiver and 1 month for the secondary caregiver

Company values

We focus on value creation, not value capture
We amaze our clients
We foster diversity and embrace difference
We get things done
We embrace reality

Company HQ

Financial District, New York, NY

Articles

AI-powered supply chain visibility boosted as Altana raises $100M

AI-powered supply chain visibility platform Altana bags $100M

Supply-chain mapping startup staffs up

‘Google Maps for Business’ Aims to Minimize Supply Chain Risk

United Kingdom Department for Business & Trade Contracts with Altana

Nvidia's Trillion-Dollar Triumph & AI's Wearable Revolution

Altana Debuts Next Generation Altana Atlas

Leadership

Raphael Tehranian

(COO)

Previously an analyst with J P Morgan, pivoting to engagement at Cleantech Group and then corporate tech strategy with Suncor Energy. After a spell as an investor at Fuller Smith, spent time with global supply chain analytics company Panjiva as a management advisor.

Peter Swartz

(Chief Science Officer)

An MIT grad in political science who went on to work as Head of Data Science at Panjiva.

Evan Smith

(CEO)

A Yale economics graduate with experience in renewables at Imperium Renewables and Verno Systems, the latter of which they co-founded. Served as a partner at Fuller Smith, before moving on to work in a management advisor role at Panjiva.

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