Machine Learning Engineer, Craft.co
$160-184k
+ Equity
More information about location
Procurement and supply chain analytics platform
Be an early applicant
Procurement and supply chain analytics platform
101-200 employees
Be an early applicant
$160-184k
+ Equity
More information about location
101-200 employees
Company mission
To make global supply chains more resilient.
Role
Who you are
- Production experience with creating and maintaining Machine Learning models. We expect you to be familiar with the entirety of ML Lifecycle and able to implement it by yourself
- Experience in identifying anomalies across various data domains, including change point detection, time series anomaly analysis, and unsupervised outlier detection, to uncover irregular patterns, and enhance predictive monitoring
- Robust experience using NLP solutions for unstructured data processing, along with a good sense of possibilities and limitations
- 3+ years of experience in Python, including PyTorch or other major data science libraries
- Experience with data science and software engineering - familiarity with clean code, unit testing and design patterns
- Experience with cloud services - preferably AWS and Databricks
- Self-starter who likes to take initiative
- Experience with at least a part of our technology stack: Python, Polars, Pandas, Pytorch, Pandas, spaCy, transformers, AWS, Sagemaker, S3, Batch, Athena, Lambda, Kinesis, Kafka, RDS/Aurora Postgres, DynamoDB, Neptune, OpenSearch, Glue, Athena, Airflow, Terraform
- Experience with MLOps tools and best practices
What the job involves
- Craft is looking for an experienced and motivated Machine Learning Engineer to join a team responsible for a key product within the organization.
- As a core member of this team you will have a great say in how solutions are engineered and delivered
- Craft gives engineers a lot of responsibility, which is matched by our investment in their growth and development.
- We are growing quickly, and the only limits to your future growth with Craft are your dedication and abilities
- Managing and developing end-to-end data science and machine learning projects, from research and data exploration to model development, validation, deployment, and optimization, such as entity resolution, anomaly detection, and agentic AI workflows
- Determining the right tool for a job - whether that’s utilizing a LLM, developing a new model, using a simple heuristic or a combination of the above
- Integrating ML solutions with our data pipelines (Batch & Streaming)
- Helping to implement and champion an MLOps solution to be used within the company
- Designing software that is easily testable and maintainable
- Working with Full-Stack, Data, and DevOps Engineers to ensure smooth delivery of new features
- Building strong partnerships with business stakeholders and product teams to understand key challenges, define objectives, and translate business needs into data science solutions that drive measurable impact and align with strategic goals
- Keeping track of emerging technologies & trends in the Machine Learning world, incorporating latest research and tools at Craft
Our take
Maintaining a seamless supply chain is essential to the success of most businesses, with procurement teams being responsible for sourcing new suppliers, analyzing inventory data, and generating forecasts. However, analyzing such data requires the repetitive and specialist work of data engineers for both parties, making the sourcing process time-consuming.
Craft.co provides a procurement and supply chain analytics platform, integrating with other supply chain platforms to track inventories and produce forecasts. The platform allows users to save and organize thousands of suppliers in a portfolio, and source new suppliers in minutes based on over 450 data points, leveraging automatic insights to assess for risk and ensure requirements are met.
The main challenge Craft.co will face is the range of AI-driven supply chain analytics platforms appearing on the market, but the company uniquely combines such technology with a real-time analytics-driven procurement marketplace. Furthermore, Craft.co's 2023 round of funding will help it to rocket-boost its new focus on analytic, cloud-based collaboration, and management workflow capabilities.
Freddie
Company Specialist at Welcome to the Jungle
Insights
19% employee growth in 12 months
Company
Funding (2 rounds)
Feb 2023
$32m
SERIES B
Aug 2020
$10m
SERIES A
Total funding: $42m
Company benefits
- Unlimited PTO
- Parental Leave
- 99% Benefits Coverage
- 401k plan
- Hybrid Hub Strategy
- Flexible Work Hours
Company HQ
Yerba Buena, San Francisco, CA
Leadership
Ilya Levtov
(Co-Founder & CEO)Member of the Executive Leadership Forum of the Digital Supply Chain Institute since 2019. Experience as a Business Developer for Deutsche Telekom.
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