Machine Learning Engineer

About Allocate

Allocate revolutionizes private market investing by empowering RIAs and family offices to easily discover, model, and manage their private market portfolio. Its platform integrates curated funds and co-investment opportunities with institutional-quality infrastructure, offering clients streamlined access to premier ventures across private equity, venture capital, private credit, and other asset classes via a comprehensive data-driven digital platform enriched with robust analytics and administrative tools.

Role Overview

We are seeking a seasoned AI/Extraction Engineer to join Allocate’s team. This role involves establishing the foundational technology for our company’s future growth by leveraging a wide range of engineering skills.

Key Responsibilities

• Design, develop, and enhance machine learning models intended for production environments.
• Create evaluation and feedback mechanisms that continuously boost model accuracy and effectiveness.
• Implement tools to monitor and assess model performance rigorously.
• Research, assess, and integrate cutting-edge machine learning models and methodologies into production workflows.
• Collaborate across teams to deliver ML-driven features and solutions.

Qualifications and Experience

• Minimum of four years’ experience applying machine learning and large language model engineering in production settings, with strong proficiency in Python.
• Proven track record of transitioning ML models from experimental prototypes to dependable production systems.
• Expertise in fine-tuning models and performing rigorous evaluation cycles.
• Fluency with Git and other version control tools.
• Practical experience using AI-assisted development tools such as Claude Code, OpenAI Codex, or Cursor, with the ability to adapt to emerging technologies.

Preferred Skills

• Experience with applied natural language processing, computer vision, or multimodal ML models.
• Knowledge of MLOps practices and model monitoring infrastructure.
• Background working with fintech or financial datasets.

Education

A bachelor's degree in Computer Science, a related technical field, or equivalent practical experience is required.

Company Values and Culture

• Dedication to delivering an outstanding client experience, emphasizing responsiveness, proactivity, and excellence across all touchpoints.
• A tendency to challenge assumptions and focus on actionable, feasible ideas rather than obstacles.
• Commitment to ongoing learning and continuous personal and professional growth.
• A meritocratic environment that rewards achievements based on results, not politics.
• Promotion of respectful, open, and intellectually curious dialogue that builds consensus on the best solutions.
• Adoption of technological advancements, particularly AI and automation, while discontinuing outdated methods promptly.

Additional Information

• Work is entirely remote; all candidates eligible for I-9 verification will be considered.
• This is a full-time, senior-level position.
• Compensation ranges from $165,000 to $185,000 annually, dependent on location, expertise, qualifications, interview outcomes, internal equity, and market standards. The range refers to base salary only, excluding bonuses, equity, and benefits.
• Benefits include medical, dental, vision insurance, 401(k) plan, and flexible paid time off.
• Occasional travel for team gatherings and department offsites may be necessary. Participation in an in-person interview could be required during hiring. Reliable broadband internet is mandatory.
• Compliance with Allocate's Code of Ethics is expected.