Senior Machine Learning Engineer, Altana
Supply chain visibility platform
Job no longer available
Supply chain visibility platform
201-500 employees
Job no longer available
201-500 employees
Company mission
Altana AI's mission is to improve global commerce.
Role
Who you are
- 10 + years of professional experience as a data scientist or machine learning engineer with proven track record of delivering functional product oriented ML solutions
- 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
- 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
- The Engineering team is looking for talented Machine Learning Engineers to help build out our vision
- In this role, you’ll work with world-scale public and proprietary datasets pertaining to all aspects of global trade, build sophisticated Machine Learning models that generate unique insights for our customers into the risks and opportunities posed by their supply chains, and stay on the cutting edge by incorporating generative AI into supply chain exploration and analytics workflows
- 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’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’s success has attracted 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 $4T 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
26% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
Jul 2024
$200m
SERIES C
Oct 2022
$100m
SERIES B
Total funding: $323.5m
Company benefits
- Competitive base salary: We offer competitive base salaries to recognize the incredible work our employees do.
- Learning & development: We support your development through regular performance check-ins and offer financial support for Learning and Development initiatives.
- Health benefits: We offer full global benefits, including a 100% employer-paid plan and tax-advantaged HSA and FSA options in the US.
- Paid time off: We provide a generous PTO policy, including paid sick time, to support your well-being in and out of the office.
- Equity program: We instill ownership by offering competitive new hire equity grants, plus the opportunity to gain more equity along the way.
- Parental leave: We offer up to 26 weeks of fully paid parental leave to support you and your family.
Company HQ
Financial District, New York, NY
Leadership
Raphael Tehranian
(Co-Founder & 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
(Co-Founder & Chief Science Officer)An MIT grad in political science who went on to work as Head of Data Science at Panjiva.
Evan Smith
(Co-Founder & 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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