MindBridge is the global leader in AI-powered financial risk intelligence. Our platform, MindBridge AI™ is enabling finance and audit professionals to build the AI-powered finance department of the future. With over 120 billion financial transactions analyzed with MindBridge’s AI, we set the standard for innovation, scalability, and customer satisfaction.

At MindBridge, we're driven by innovation and excellence, united as a team to revolutionize financial integrity. Here, your ideas matter, and your efforts make a meaningful impact. If you're passionate about using AI to drive positive change, MindBridge is the perfect fit. What distinguishes us is our unwavering commitment to our values: Innovation, Collaboration, and Integrity. These principles foster a vibrant workplace culture, where appreciation and a strong sense of community flourish.

About this role:

The MindBridge Analytics Platform team seeks a motivated individual for data engineering and machine learning. Responsibilities include developing software, expanding tests, resolving production issues, and suggesting alternative solutions. The role involves enforcing best practices, improving team processes, and effectively communicating with development and management teams to anticipate and resolve potential problems.

Your responsibilities:

• Work with multiple levels of peers to interpret feature requests and develop software in interactive design/build/test cycles.
• Assist in resolving production support problems.
• Enforce standards and best practices in the workplace.
• Communicate effectively with the development and management team to anticipate and resolve potential problems.
  
• Proactively seek opportunities to implement improvements to internal team processes and procedures.
• Develop and suggest alternative approaches to resolving problems.
• Develop and expand unit and integration tests.

Your qualifications & requirements:

• Proven experience developing enterprise level full stack server or cloud technologies and applications.
• Knowledge of autoscaling systems.
• Knowledge of distributed computations.
• Willingness to prototype and objectively evaluate new tools and technologies.
• Experience with performance optimization and profiling.'
• Production grade graphics processing or hardware acceleration is a plus.
  
• Strong attention to detail and a commitment to quality and excellence in work performed.
• Experience and ability to work in a kanban or agile software development environment.
• Knowledge of data science and machine learning as relates to anomaly detection.
• Experience with building and querying large databases and datasets.
• Proven ability to deliver with quality while meeting deadlines.
• Experience with larger than memory data processing tools such as Flink, Spark or Dask. Alternately, experience with resource limited systems like embedded or edge devices.
• BSc or MSc degree in Computer Science, related academic program like e.g. Applied Statistics or Mathematics, or equivalent training and professional experience.
• 5+ years actively delivering and maintaining production quality features.

Requirements Contingent on Employment:

• Fulfill requirements necessary to obtain and clear a full background check.
  

Why You’ll Love Being Part of Our Team:

📈 Competitive Compensation and Equity

🏠 Flexible Work – Hybrid or Remote

🍏 Comprehensive health benefits and wellness programs

📚 Professional development opportunities

🌴 Flexible Time Off

💰 Company Matched Retirement Plans

🔕 Unplug and recharge - 4 company-wide digital detox days annually

Equal Opportunity at MindBridge:

At the heart of our global success lies commitment to diversity and inclusion. We rigorously enforce an equal opportunity policy in all aspects of employment, championing merit and qualifications as our benchmarks. MindBridge is a proud equal opportunity employer, embracing applicants of all backgrounds without regard to race, nationality, religion, gender, disability, or any other factors.

At MindBridge, we are committed to providing an accessible candidate experience. If you require accommodations during the interview process or beyond, please inform us. We will work with you to provide necessary support and reasonable accommodations while maintaining confidentiality. Your comfort and participation are paramount to us.