ABOUT THIS FEATURED OPPORTUNITY

The Machine Learning Engineer will join the team to automate and scale the validation of device setup workflows across the channel store environments. You'll play a critical role in developing intelligent systems that can interpret images, metadata, and contextual signals to determine if the store is complying with standards through visual signals.

THE OPPORTUNITY FOR YOU

• Design and deploy robust computer vision pipelines for real-world, production-scale use cases

• Independently design and execute experiments to validate model assumptions and improve accuracy

• Perform root cause analysis on model failures, and translate findings into concrete improvements

• Integrate Vision-Language Models (VLMs) to enable context-aware image understanding

• Prototype agent-based reasoning flows to surface insights and recommendations from visual signals

• Own and iterate on NLP + CV systems that power internal tools and customer-facing technologies

• Partner cross-functionally with backend, product, and business teams to scale your solutions worldwide

• Translate product goals into practical CV architectures and roadmap milestones

• Contribute to the future vision of AI-powered sales and operational tools

• Seeking a self-driven and accountable professional, with a track record of incorporating feedback and delivering results independently

• Solid knowledge of multimodal reasoning — not just prompting models, but systematically evaluating workflows with LLMs and VLMs together

• Experience with state-of-the-art CVML, including VLMs, multimodal LLMs, and agentic workflows

• Hands-on experience with Vision-Language Models (e.g., CLIP, BLIP, Flamingo, Gemini) with awareness of their strengths, weaknesses, and real-world limitations

• Proven ability to run experiments end-to-end: from hypothesis, to design, to execution, to iteration

• Demonstrated skill in root cause analysis for model misclassifications and system-level failures

KEY SUCCESS FACTORS

• 3+ years building CV/ML systems professionally and successfully releasing to customers

• 3+ years + PhD/Masters or 5 years + Bachelors – strong experience in Computer Vision and Machine Learning algorithms

• Strong programming in Python, and related machine learning frameworks (PyTorch, CoreML, etc.)

NICE TO HAVES:

1. Prior ML Product team experience, experience contributing to a product team

2. Tech industry background

Our benefits package includes: 

• Comprehensive medical benefits
• Competitive pay
• 401(k) retirement plan
• …and much more!

About INSPYR Solutions
Technology is our focus and quality is our commitment. As a national expert in delivering flexible technology and talent solutions, we strategically align industry and technical expertise with our clients' business objectives and cultural needs. Our solutions are tailored to each client and include a wide variety of professional services, project, and talent solutions. By always striving for excellence and focusing on the human aspect of our business, we work seamlessly with our talent and clients to match the right solutions to the right opportunities. Learn more about us at inspyrsolutions.com.

INSPYR Solutions provides Equal Employment Opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. In addition to federal law requirements, INSPYR Solutions complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities

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