ML & NLP Engineer

Office Headquarters: Lower Manhattan, NY (in-office three days a week)

• The U.S. Government agencies we work with have contracts that require all personnel working on their corresponding contracts to have U.S. citizenship – do you meet this requirement?

We are seeking a Machine Learning & Natural Language Processing Engineer to develop and implement python-focused development tasks and machine learning algorithms into production. The ideal candidate has an understanding of both statistical machine learning and deep learning technologies with a focus on Natural Language Processing complemented by the ability to deploy these said models for scalable production using cloud computing services. Lastly, the successful candidate can effectively communicate with both quantitative and qualitative arms of the company in order to understand business requirements.

Accrete is on a mission to create AI so powerful it amplifies human reasoning and enables enterprises to grow in previously unimaginable ways. Prior to launching Accrete in 2017, Prashant Bhuyan, Accrete’s Founder and CEO, spent over a decade in high-frequency trading where he saw simple rules-based automation render obsolete hundred-year-old exchange floors virtually overnight.

Accrete’s solutions enable the Department of Defense to predict covert behavior from foreign adversaries seeking to influence the supply chain; the U.S. Air Force to identify vulnerabilities in microprocessor firmware; major music labels to identify superstars before competitors; auto dealers to automatically generate marketing content from vehicle feature lists; employee benefits brokers to identify the shortest path to the hottest leads; and more.

To learn more about Accrete, please visit our website: Accrete.ai

Your first 3-6 months:

• Learn Accrete products, technological capabilities and codebase protocols
• Deploy at least three Machine Learning Models / improvements in production environment
• Create your three and six month goals with your manager

6-18 months:

• Continue to interface between Product and Research as you design and deploy solutions
• Maintain and Improve existing Machine Learning documentation and codebase
• Deploy at least ten Machine Learning solutions in production environments with a focus on scalability and efficiency
• Work with leaders and mentors to set goals for yourself to gain consideration for career development within the company

Requirements

About You

• Work on execution and scheduling of all tasks related to assigned projects’ deliverable dates
• Optimize and debug existing codes to make them scalable and improve performance
• Design, development and delivery of tested code and machine learning models using REST API in cloud-based production environments, such as Amazon Web Services(AWS)
• Work effectively in teams, managing and leading teams
• Provide effective, constructive feedback to the delivery leader
• Manage client expectations and work with an agile mindset with machine learning and AI technology
• Design and prototype data driven solutions

Benefits

Our Accrete culture is centered on the pillars of intellectual humility, curiosity, and teamwork.

If you’re ready to make an impact and work alongside some of the brightest, most creative minds solving problems posed by information complexity, we invite you to join us. Join us in building an ethical, explainable AI capable of performing important work that moves the world forward.”

Culture, Benefits & Perks

• Fortune 500 level core benefits package: health, dental, vision, Rx, long-term disability, short-term disability, life insurance, 401(k)
• Hybrid remote work policy – three mandatory days in the office
• 15 days of vacation, five days of sick leave and all federal holidays off
• Company happy hours, team bonding with bowling, tennis, and more
• Well stocked kitchen including healthy snacks – delicious, beverages, supplements, vitamins and more
• Performance bonuses awarded on 12 month calendar anniversary dates (cash/equity)

Accrete is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.