Erdos Miller | Data Engineering & ML Roles ($120K-$160K + Benefits) | Remote (US) or Hybrid (Houston, TX) | https://erdosmiller.com
We're building technology that sends data through mud - literally. Our telemetry systems operate at extreme depths, temperatures, and pressures, serving both traditional drilling and pioneering sustainable energy applications like geothermal power. As a bootstrapped and profitable company of 35 people, we offer startup-like challenges with established business stability.
Two key roles we're hiring for:
1. Data Engineering:
- Build scalable platform monitoring thousands of drilling devices
- Create anomaly detection, performance monitoring and predictive maintenance systems
2. Machine Learning:
- Develop signal processing/denoising models for wireless telemetry
- Build ML systems for real-time signal recovery in high-noise environments
- Build data pipeline for continuous expansion of data, benchmarking and model deployment
I had a poor experience with Erdos Miller. I'm willing to take the repetitional
hit because I think it's important that people go in with eyes open.
I was approached by the CEO of Erdos Miller to do some data science work on anomaly detection/failure prediction, and signal recovery down mud pipes in drill holes.
Over a period of two weeks we signed an NDA, and discussed the problems. I laid out several approaches to solving the anomaly detection/failure prediction problem, including specific algorithms to use (or not!). This is my bread and butter work, with hard won experience.
On Friday the 31st I had a call and a new fairly vanilla anomaly detection problem was discussed, which he (The CEO) wanted to go ahead with immediately. He was asking about explicit approaches to solving this, which I discussed. We agreed to start next week - He confirmed that we were unequivocally going ahead, rates were discussed without pushback. I sent a rate card after the conversation.
On Monday I emailed to sort out logistics for data access, billing, etc. He promptly replied that he was taking the project in house. Now I've seen this post listing exactly the problems I had laid out solutions to.
Erdos Miller went back on an explicit agreement they made on the very next business day, pumped me for hard earned experience, and took a free option on my time (This entire week is un-billable, possibly more). Finally he'll have a leg up on structuring the work for these two roles should he fill them. That leaves a sour taste in my mouth.
We're building technology that sends data through mud - literally. Our telemetry systems operate at extreme depths, temperatures, and pressures, serving both traditional drilling and pioneering sustainable energy applications like geothermal power. As a bootstrapped and profitable company of 35 people, we offer startup-like challenges with established business stability.
Two key roles we're hiring for:
1. Data Engineering:
- Build scalable platform monitoring thousands of drilling devices
- Create anomaly detection, performance monitoring and predictive maintenance systems
2. Machine Learning:
- Develop signal processing/denoising models for wireless telemetry
- Build ML systems for real-time signal recovery in high-noise environments
- Build data pipeline for continuous expansion of data, benchmarking and model deployment
Tech: Backend: Python, PyTorch. Frontend: NextJS, TypeScript, React frontend
Why join:
- Direct impact on real-world systems in a small team
- Unique hardware/software technical challenges
- Growth-focused culture with no red tape
- Help transition drilling tech to sustainable energy
Benefits: Health/dental/vision, 401(k) match, PTO, remote flexibility
Email ken (-at-) erdosmiller.com with your resume and why you're excited about these challenges.
Prefer US Work Authorization. Open to Canada, Europe. No agencies.