Customer Representation Learning and Encoder Development

Job Description

Job Description

Job Overview:

Pay Range: $108.68hr - $113.68hr

Requirement/Must Have:

• Has personally trained an encoder or embedding model, including designing the pretraining objective.
• Deep expertise in representation learning: self-supervised or contrastive pretraining, sequence and temporal modeling, transformers, graph neural networks or recommender embeddings.
• Experience modeling large, sparse, longitudinal event data such as transactions, claims, clickstream, customer journeys or engagement histories.
• Experience building inductive representations, so an entity with little history can be represented from its own features rather than a lookup table.
• Rigorous evaluation practice: time-based splits, leakage detection, cold-start slices, transfer to held-out populations, stated uncertainty and hard baselines.
• Ability to judge whether an embedding carries genuine incremental signal downstream, including calibration, stability, drift and subgroup performance.
• Strong Python engineering with PyTorch or JAX, SQL, distributed data processing and cloud-based model training at scale.
• Experience carrying a model from research into production: data contracts, training pipelines, versioning, serving, monitoring and reproducibility.
• Ability to present findings and uncertainty credibly to senior stakeholders, and to recommend stopping an approach that is not working.
• Ability to work from the office minimum of 3 days per week.

Responsibilities:

• Build the first shared learned representation of customers using dense vectors trained on longitudinal transaction, sales and interaction history.
• Design the pretraining objective, train and evaluate the encoder, and produce evidence to determine approach viability.
• Define modeling objectives and evaluation design.
• Write production code for downstream GenAI and analytics products.
• Ensure evaluation deliverables are as robust as the model itself.

Nice to Have:

• Experience with customer-360 representations, behavioral embeddings, recommender systems or foundation models over event data.
• Familiarity with privacy, fairness and re-identification risk in learned representations of individuals.
• Publications, patents or public applied work in representation learning.
• Experience in industries with large-scale behavioral event data such as consumer technology, marketplaces, streaming, financial services, payments or advertising technology.

Skills:

• Customer-360 representations.
• Representation learning.
• PyTorch.
• JAX.
• SQL.
• Distributed data processing.
• Cloud-based model training.
• Self-supervised pretraining.
• Contrastive pretraining.
• Sequence modeling.
• Temporal modeling.
• Transformers.
• Graph neural networks.
• Recommender embeddings.
• Python engineering.

Qualification And Education:

• Strong verbal and written communication skills.
• Excellent communication and presentation skills.
• Ability to communicate effectively with stakeholders.

Benefits:

Our Benefits Include:

• Medical, Dental, and Vision Insurance
• 401(k) Retirement Plan
• Health Savings Account (HSA)
• Disability Insurance (Short-Term and Long-Term)
• Life and AD&D Insurance
• Paid Sick Leave (where required by applicable state or local law)
• Supplemental Insurance Plans
• Identity Theft Protection
• Pet Insurance
• Employee Wellness Programs
• Employee Assistance Program (EAP)
• Career Growth and Professional Development Opportunities

Disclaimer : Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws.

About Cynet Systems

Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia.

As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.