About Us: We are a sustainability focused company focused on reducing the
friction in resale by making it easier to sell used clothing online. Our team
is comprised of data nerds enthusiastic about making the lives of resellers
easier.
Job Description: We are seeking a talented and motivated Data Engineer/Machine
learning Engineer to join our dynamic team. The successful candidate will be
responsible for managing the data scraping, cleaning the data, and run the
labeling pipeline to ensure a seamless handoff to our Machine Learning
engineers.
This role is crucial for maintaining the integrity and quality of our data -
the foundation of our machine learning models - and ultimately, our business.
The ideal candidate will also have experience in building, training,
validating, testing, and tuning machine learning models.
Responsibilities:
Data Pipeline Management: Develop and maintain robust data scraping, cleaning,
and labeling pipelines with millions + of data points.
Complex Data Pipeline Construction: Plan for the end to end pipeline that uses
clean and diverse data collected from our web app for training new machine
learning models.
Script Development: Write and optimize scripts for data cleaning using state
of the art machine learning models, ensuring that datasets are prepared to the
highest standards.
Automation: Create and manage automated prompts for data labeling using
multimodal LLMsw, streamlining the data preparation process.
Quality Assurance: Implement processes to ensure the highest quality of data,
including validation and verification steps.
Model Training: Engage in hands-on training, validation, testing, and tuning
of machine learning models, collaborating closely with ML engineers to improve
model performance.
Collaboration: Work with cross-functional teams to understand data
requirements and deliver solutions that meet business needs.
Documentation: Maintain comprehensive documentation of data processes,
ensuring transparency and reproducibility.
Qualifications:
* Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field.
* Demonstrated experience in building, training, validating, testing, and tuning machine learning models (portfolio required).
* Proven experience as a Data Engineer or Machine Learning Engineer.
* Strong programming skills.
* Experience with data scraping tools and techniques.
* Proficiency in writing data cleaning scripts and managing large, well-balanced datasets.
* Familiarity with machine learning frameworks and libraries.
* Knowledge of automation tools and techniques for data labeling.
* Strong problem-solving skills and attention to detail. Excellent communication and teamwork skills.
Preferred Qualifications:
* Experience with cloud platforms (e.g., AWS, GCP, Azure).
* Understanding of data warehousing and ETL processes.
* Experience with data visualization tools (e.g., Tableau, PowerBI). Familiarity with SQL and NoSQL databases.
What We Offer:
* Competitive salary (mid career at $3500 USD per month)
* Opportunity to work on cutting-edge projects in a collaborative environment. Professional growth and development opportunities.
* Flexible working hours and remote work options.
How to Apply:
Interested candidates should submit their resume, a cover letter detailing
their relevant experience, and a portfolio showcasing their most impressive
work to [[email protected]](mailto:[email protected]) .
