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OneStream Software

Associate AI Engineer

Posted Yesterday
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Hybrid
Chicago, IL, USA
99K-128K Annually
Junior
Hybrid
Chicago, IL, USA
99K-128K Annually
Junior
Develop and deploy production ML applications within the OneStream platform using Python and SQL/NoSQL. Build scalable services, troubleshoot full-stack issues, participate in technical design, collaborate cross-functionally, and integrate data science solutions into products.
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Associate AI Engineer


Location:  Hybrid, United States 

Employment Type: Full-Time 

Benefits Offered: Vision, Medical, Life, Dental, 401K 

Gross Annual Base Salary: USD 99,000 - 128,000

Additional variable compensation and benefits may apply. Total compensation is based on experience, skills, and location using objective, job-related criteria.


This role requires the candidate to work from one of the following OneStream office locations: Birmingham, MI, Fort Lauderdale, FL, New York, NY, or Chicago, IL. 



Summary:

As an Associate AI Engineer you will be a critical member in executing our AI initiatives within the OneStream platform. The AI Product and Engineering team is focused on bridging the gap between AI research and AI products, bringing tangible and quantifiable value to our end users. Our AI solutions incorporate applications across the AI and machine learning spectrum, including (but not limited to) time series forecasting, anomaly detection, and natural language processing. Our mission is to lower the barrier for organizations and people to get value out of AI capabilities.


Primary Duties and Responsibilities:

  • Develop scalable, high-performance applications and services using a variety of software architecture design patterns.
  • Implement robust software systems and functionalities using Python and SQL/NoSQL, ensuring optimal performance and scalability.
  • Troubleshoot and debug issues across the full stack, from the user interface to the database layer.
  • Participate in technical design sessions to decompose and design complex systems and interfaces.
  • Collaborate with cross-functional teams to ensure technical and user requirements are met.
  • Must be a self-starter, continuously be learning both best code practices and the latest technologies in the Software ecosystem.
  • Must understand data analysis and how to apply data science solutions into end products.

Required Education and Experience

  • Bachelor's Degree or similar work experience.
  • CS/EE/CE Degree or similar experience.
  • 1-2 years of experience building and deploying production-level machine learning solutions or similar experience.
  • 1-2 years of strong programming experience with one of the following: Python, C++, C, CSharp, Java, Rust, or Go (or similar experience).

Preferred Education and Experience:

  • Experience building and deploying production-level software solutions or similar experience.
  • Experience with webservices and API frameworks (Flask, FastAPI, etc.).
  • Experience with relational or non-relational databases (MS SQL Server).
  • Knowledge of distributed systems and cloud-based computing (Azure).
  • Familiarity with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Sklearn).

Knowledge, Skills, and Abilities

  • Self-Starter to decompose a problem and plan a solution.
  • Ability to quickly learn new technologies and adapt to changes in technology and the business environment.
  • Highly adaptive to changing circumstances, with the ability to tackle problems quickly.
  • Excellent written and verbal interpersonal skills.
  • Excellent organization, scheduling, project management and multi-tasking skills.
  • Ability to write clean, efficient, and well-documented code.
  • Interest in continuous learning opportunities as the software landscape continues to evolve.
  • Capable and comfortable effectively presenting in front of your peers.
  • Proficient in effectively prioritizing and executing tasks in fast-paced, high-pressure environments.
  • Highly self-motivated and proactive.
  • Demonstrates meticulous attention to detail.
  • Comfortable engaging and presenting to C-level executives from time to time.
  • Employee must be legally authorized to work in the country of the job position as a precondition of employment.

Travel

Minimal travel required.


Who We Are

OneStream is how today’s Finance teams can go beyond just reporting on the past and Take Finance Further™ by steering the business to the future. It’s the only enterprise finance platform that unifies financial and operational data, embeds AI for better decisions and productivity, and empowers the CFO to become a critical driver of business strategy and execution.    Our vision is to be the operating system for modern finance, digitizing core financial functions and empowering the CFO to become a critical driver of business strategy. To learn more visit www.onestream.com.   



Why Join the OneStream Team

  • Transparency around corporate structure, salary, and benefits
  • Core value of customer success
  • Variety of project work (not industry specific) 
  • Strong culture and camaraderie
  • Multiple training opportunities 


Benefits at OneStream

OneStream employees are passionate, hardworking individuals who go above and beyond to keep our customers happy and follow through on our mission statement. They consistently deliver the best and in turn, we make every effort to keep them cared for and happy. A sample of the benefits we provide are: 

  • Excellent Medical Plan
  • Dental & Vision Insurance
  • Life Insurance
  • Short & Long Term Disability
  • Vacation Time
  • Paid Holidays
  • Professional Development
  • Retirement Plan 


All candidates must be legally authorized to work for any company in the country where this position is located without sponsorship. 

OneStream is an Equal Opportunity Employer. 


#LI-Remote #LI-JP1



Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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