Senior Machine Learning Engineer

About Inspiren 

Inspiren offers the most complete and connected ecosystem in senior living. Founded by Michael Wang a former Green Beret turned cardiothoracic nurse Inspiren proves that compassionate care and technology can coexist - bringing peace of mind to residents families and staff.

Our integrated solutions seamlessly fit into existing workflows capturing everything happening within a community. Backed by nurse specialists and powerful analytics we provide the data operators need to make informed clinical and operational decisions - driving efficiency profitability and better care outcomes.

About the Role

We're looking for a Senior ML Engineer to build intelligent scalable workflows powered by cloud-based Vision-Language Models (VLMs). You'll own the end-to-end pipeline: from determining what signals and context need to come off the device to maximize VLM performance to building and evaluating the cloud-side inference systems that generate high-quality labels at scale. This role sits at the intersection of computer vision LLMs and systems engineering and you'll work closely with our Embedded Systems Computer Vision and Data Science teams to close the loop between edge devices and cloud intelligence.

What you'll own

• Design build and iterate on VLM-based pipelines that generate high-quality labels and annotations at scale including prompt engineering fine-tuning and evaluation
• Determine which signals frames metadata and contextual features should be sent from edge devices to improve VLM accuracy and reduce ambiguity
• Collaborate with Embedded Systems and Hardware teams to define device-side preprocessing and data-forwarding strategies that balance bandwidth latency and model performance
• Collaborate with Data Science to build robust evaluation frameworks to measure label quality model accuracy and regression detection
• Benchmark and integrate commercial and open-source VLMs staying current on the fast-moving landscape of vision-language capabilities

What you bring

• 5+ years of experience in machine learning engineering with hands-on work in computer vision and/or LLM/VLM systems
• Strong familiarity with Vision-Language Models — you've used evaluated or fine-tuned models like GPT-4V Claude's vision capabilities Gemini LLaVA or similar
• Experience building and evaluating labeling systems at scale
• Solid understanding of how edge/device constraints (bandwidth compute power) shape what data is available to cloud-side models
• Proficiency with a modern ML stack: Python PyTorch cloud inference APIs and tools for experiment tracking and evaluation
• Practical prompt engineering skills — you know how to get the most out of large models through structured prompting few-shot examples and iterative refinement
• A pragmatic engineering mindset — you care about building systems that work reliably in production not just in notebooks
• Comfortable scoping and driving work independently in a fast-moving early-stage environment
• Strong communication skills and a collaborative approach to working across hardware embedded and ML teams

Bonus skills

• Experience building model-based automation for data labeling
• Experience building infrastructure for cloud-based inference at scale for example batching orchestration cost management and monitoring
• Familiarity with edge computing on-device inference or embedded ML pipelines
• Experience with video or spatiotemporal data (event streams multi-frame reasoning temporal context)
• Healthcare or senior living domain experience

Details

• The annual salary for this role is $200000-$230000 + equity + benefits (including medical dental and vision) 
• Flexible PTO
• Location: Remote US or Canada. NYC preferred.
• Qualified applicants will receive consideration for employment without regard to race color religion sex sexual orientation gender perception or identity national origin age marital status protected veteran status or disability status.

What We Do

Inspiren offers the most complete and connected ecosystem in senior living. Founded by Michael Wang a former Green Beret turned cardiothoracic nurse Inspiren proves that compassionate care and technology can coexist - bringing peace of mind to residents families and staff.Our integrated solutions seamlessly fit into existing workflows capturing everything happening within a community. Backed by nurse specialists and powerful analytics we provide the data operators need to make informed clinical and operational decisions - driving efficiency profitability and better care outcomes.

Why Work With Us

Customers describe working with us as a partnership not a vendor relationship. We send people on-site to train. We listen to what customers need and put it on the roadmap. That's the culture internally too — high ownership high accountability and genuinely caring about outcomes for residents.

Gallery