Machine Learning Engineer - Data Pipeline
Machine Learning Engineer · Senior · Full Time
Opens Articul8's application page
Role
What you'll do.
Articul8 is seeking a Machine Learning Engineer to design and develop sophisticated data processing pipelines for AI model training. The ideal candidate will be responsible for end-to-end data acquisition, processing, and quality improvement, working closely with research and engineering teams to power next-generation domain-specific AI models.
Responsibilities
- Data Pipeline Development: Design and develop comprehensive data processing pipelines including extraction, filtering, and labeling of diverse data sources
- Machine Learning Model Implementation: Develop and implement ML models to enhance data quality and diversity, including quality classifiers and verification models
- Data Acquisition Engineering: Lead engineering projects focused on web crawling, data ingestion, and large-scale data processing
- Distributed Systems Architecture: Develop and deploy highly scalable distributed systems capable of handling terabytes of data with robust indexing and search capabilities
- Cross-Team Collaboration: Work closely with Applied Research, Technology, and Architecture teams to ensure seamless data flow and system operability
- Infrastructure Management: Deploy solutions in Kubernetes Infrastructure-as-Code environment and perform routine system maintenance and checks
Qualifications
What we look for.
Technical
Deep Learning Frameworks
Proficiency in at least one deep learning framework, such as PyTorch
Programming Languages
Advanced proficiency in Python with ability to write clean, maintainable code
Distributed Systems
Strong expertise in large stateful distributed systems and data processing technologies
Data Processing Tools
Familiarity with distributed workload technologies like multiprocessing, Ray, Docker, and Kubernetes
Education
Advanced Degree
BS/MS/PhD in Computer Science, Machine Learning, or related technical field
Experience
Machine Learning Project Experience
Proven experience in machine learning projects, particularly in text or vision domains
Data Pipeline Development
Demonstrated ability to build large-scale data processing pipelines and datasets
Skills
Required
Python Programming
Strong programming skills in Python for machine learning and data processing
Data Pipeline Engineering
Expertise in designing and implementing complex data acquisition and processing systems
Machine Learning Model Training
Experience in training machine learning models to solve specific problems
Preferred
GitHub Contributions
Nice to haveActive open-source contributions and public code repositories
Data Crawling Tools
Nice to haveExperience with tools like Scrapy, Selenium, Hadoop, and Datasketch
Multilingual Skills
Nice to haveProficiency in multiple languages to support diverse data collection
Tech stack
Languages
Frameworks
Databases
Tools
Other
Compensation
Pay and benefits.
Base·USD 150,000 – 225,000
Equity·Stock options
Benefits
Health Insurance
Comprehensive medical, dental, and vision coverage
Equity Compensation
Stock options with potential for significant growth in AI startup
Professional Development
Continuous learning opportunities, conference attendance, and skill development programs
Flexible Work Environment
Supportive culture emphasizing diversity, creativity, and personal growth
Process
Interview steps.
- 01
Initial Screening
Resume and background review by recruiting team
- 02
Technical Phone Screen
Discussion of machine learning and data engineering experience with senior engineer
- 03
Coding Challenge
Take-home project involving data pipeline design and ML model implementation
- 04
Onsite Technical Interviews
Multiple rounds covering system design, machine learning concepts, and coding skills
- 05
Final Leadership Interview
Meeting with engineering leadership to assess cultural fit and long-term potential
Full posting
Original listing.
About us:
At Articul8 AI, we relentlessly pursue excellence and create exceptional AI products that exceed customer expectations. We are a team of dedicated individuals who take pride in our work and strive for greatness in every aspect of our business. We believe in using our advantages to make a positive impact on the world and inspiring others to do the same.
Job Description:
We are seeking machine learning engineers to join our team full-time. As part of your role, you will help us build pipelines of data collection, data extraction, data filtering/synthetic data generation and data analysis. You will own all work related to acquiring high-quality data to power the training of our domain-specific models end to end. You will work closely with other researchers and engineers to empower our next generation of domain-specific models. We value rapid prototyping, iterating, and shipping new systems quickly.
Required Qualifications:
BS/MS/PhD in Computer Science or a related field.
Proficiency in at least one deep learning framework, such as PyTorch.
Experience in machine learning projects in text or vision, e.g., has trained machine learning models to tackle a specific problem.
Strong expertise in large stateful distributed systems and data processing.
Strong proficiency in building large-scale data processing pipelines, familiar with distributed workload (e.g., multiprocessing, Ray, Docker, Kubernetes).
Proficiency in at least one programming language commonly used in machine learning, such as Python and ability to write clean, maintainable code.
Excellent problem-solving skills and attention to detail, especially when handling data anomalies and biases to further improve data quality.
Key Competencies
Active Github contributions are a big plus.
Experience in building large-scale datasets.
Familiar with at least one of the following tools for data crawling (e.g. Scrapy), data collection (e.g., VPNs, Selenium), data processing (e.g., Hadoop, Datasketch).
Building bespoke data processing libraries from scratch.
Keeping up with state-of-the-art techniques for preparing AI training data.
Organizing and meticulously bookkeeping data across multiple clouds, of multiple modalities, and from many sources.
Multilingual which contributes to enriching the language diversity crucial for robust model training.
Responsibilities:
Design and develop data processing pipelines, including data extraction, data filtering, data labeling, etc.
Implement machine learning models to improve the quality and diversity of data (especially in the data extraction stage), e.g., quality classifier, document layout model, code verification model, etc.
Own and lead engineering projects in the area of data acquisition, including web crawling, data ingestion, and processing.
Collaborate with our Applied Research, Technology, and Architecture teams to ensure smooth data flow and system operability.
Develop and deploy highly scalable distributed systems capable of handling terrabytes of data.
Architect and implement algorithms for data indexing and search capabilities.
Build and maintain backend services for data storage, including work with key-value databases and synchronization.
Deploy solutions in a Kubernetes Infrastructure-as-Code environment and perform routine system checks.
By joining our team, you become part of a community that embraces diversity, inclusiveness, and lifelong learning. We nurture curiosity and creativity, encouraging exploration beyond conventional wisdom. Through mentorship, knowledge exchange, and constructive feedback, we cultivate an environment that supports both personal and professional development.
Your future experience at Articul8 will include continuous learning and growth opportunities as we embark on an exciting journey to disrupt the status quo. If you're excited about joining a team that's passionate about making a difference, we want to hear from you.
If you're ready to join a team that's changing the game, apply now to become a part of the Articul8 team. Join us on this adventure and help shape the future of Generative AI in the enterprise.
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