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AI Software Engineer

Sorry, this job was removed at 08:21 a.m. (MST) on Wednesday, Jul 23, 2025
In-Office
Denver, CO
90K-130K Annually
In-Office
Denver, CO
90K-130K Annually

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An AI Engineer, who will research, design, and deploy AI solutions, collaborating with teams to implement scalable machine learning models and algorithms for our business.
Platform Innovation is a newly formed technology department at the forefront of innovation and research, dedicated to pushing the boundaries of technological advancements.
We are creating a dynamic and diverse team that drives our mission of producing groundbreaking advancements within our field. As we continue to expand and evolve, we are seeking highly motivated and visionary AI Engineers to join our department.
You will collaborate with cross-functional teams to implement state-of-the-art AI solutions, ensuring the integration and scalability of our platforms. You will have the opportunity to work on a wide range of AI technologies while contributing to the continuous development of our organization.
This position is eligible for inclusion in the Company's hybrid working from home policy.
The salary for this role is $90,000 - $130,000 annually.
bet365 provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.
Preferred skills and experience
  • Bachelor's degree, or equivalent professional experience, in Computer Science, Software Engineering, or a related field
  • Experience in designing and implementing machine learning models and algorithms
  • Strong understanding of statistical modelling, data structures, and algorithms
  • Knowledge of machine learning frameworks and libraries such as TensorFlow and PyTorch.
  • Experience with data pre-processing, feature engineering, and model evaluation
  • Strong problem-solving and analytical skills, with the ability to work in a fast-paced, agile environment.
  • Excellent communication skills, with the ability to collaborate effectively with cross-functional teams
  • Strong curiosity and desire to learn, with a keen interest in staying up-to-date with the latest AI and ML technologies.

What you will do
  • • Producing rapid prototyping and development of new ideas.
  • Collaborating with Business stakeholders, software teams, and product managers to understand requirements and translate them into scalable AI solutions.
  • Implementing cutting edge techniques and methodologies to improve platform performance, efficiency, and reliability.
  • Conducting research and staying up-to-date with the latest advancements, while ensuring our thinking is at the forefront of innovation.

Employee Perks
Bonus Scheme
Health insurance
Life assurance
HQ

bet365 Denver, Colorado, USA Office

1701 Platte St, Denver, Colorado, United States, 80202

What you need to know about the Colorado Tech Scene

With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.

Key Facts About Colorado Tech

  • Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
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  • Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
  • Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute

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