misiti3780

what are you talking about, miami is actively investing in fixing this problem

https://www.nbcmiami.com/investigations/miami-beach-resilien...

Miami is not Cleveland, and SF sucks.

Senior ML Engineer | Ping Data Intelligence | REMOTE or ONSITE (Miami, FL) | Full-Time | https://www.pingintel.com Ping Data Intelligence is a dynamic startup based in Miami, FL, revolutionizing the property insurance sector with cutting-edge web technologies and ML-powered tools. Despite rapid growth, we retain the stability of a self-funded, profitable company. Role Overview: As a Senior ML Engineer at Ping, you will sit at the intersection of research and data engineering — designing, training, and deploying machine learning models that power our property attribute classification, document extraction, and geospatial products. This is a hands-on role for someone who can read a paper in the morning, prototype an idea by lunch, and ship it to production by end of week. You will own ML systems end-to-end: from data pipeline design and feature engineering through model training, evaluation, and production deployment. The role is remote-friendly, with the option to work onsite at our Miami, FL office.

Responsibilities: Design, train, fine-tune, and evaluate ML models (LLMs, classification, sequence models) for property insurance. Build and maintain robust data pipelines that feed training, evaluation, and inference workloads at scale. Develop rigorous evaluation frameworks — establish metrics, build rater alignment processes, and apply statistical methods to determine when a candidate model is genuinely better than production. Run controlled experiments, ablations, and A/B tests; communicate findings clearly with appropriate uncertainty quantification. Deploy models to production and own their performance, drift monitoring, and iteration cycles. Collaborate with the engineering team to integrate ML services into our backend (Django/Python) and frontend (React/TypeScript) products. Stay current with the ML literature and translate relevant advances into practical improvements for our products.

Required:

PhD in Statistics, Machine Learning, Computer Science, Applied Mathematics, or a closely related quantitative field (or equivalent research experience with a strong publication or production track record). Strong foundation in statistics — experimental design, hypothesis testing, Bayesian methods, and uncertainty quantification. Minimum 5 years of combined research and applied ML experience, with a proven track record of shipping models to production. Deep proficiency in Python and the modern ML stack (PyTorch, Hugging Face, scikit-learn, pandas, NumPy). Hands-on experience with LLMs, including fine-tuning (LoRA/QLoRA, full fine-tunes), prompt engineering, and evaluation. Strong data engineering skills — comfort building reliable pipelines over messy real-world data, working with SQL and columnar formats. Excellent debugging, problem-solving, and written communication skills.

Why Join Ping: Work directly on ML systems that touch real production traffic from day one. Collaborate with a small, senior team of insurance and tech veterans building products that are reshaping the property insurance industry. Enjoy the autonomy of a research role with the impact of an applied one — your models will be in production, used by real customers, and you will see the results immediately. Please apply at jobs@pingintel.com

I have a large open source project and noticed the number of LLM generate PR is making it unmanageable. Every two weeks, I go in, kill all of them and when someone complains or asks why, I realize it was a real person and then I merge it.

is anyone else seeing this / fixed this problem ?

the narrative im hearing is AI breakthroughs will drive the cost of healthcare to zero (i.e. Alphafold etc)

this is true, but thankfully, religion is declining in America. although if people are replacing it with politics, maybe we need another revival

lol = if you're against AI recipes, you have bigger problems.

comparing TBPN to the WP is weird

what HW are you running them on ? are you using OLLAMA ?

Senior Software Engineer | Ping Data Intelligence | ONSITE (Delhi, India) | Full-Time | https://www.pingintel.com

Ping Data Intelligence is a dynamic startup based in Miami, FL, revolutionizing the property insurance sector with cutting-edge web technologies and ML-powered tools. Despite rapid growth, we retain the stability of a self-funded, profitable company. Role Overview: As a Senior Software Engineer at Ping, you will work onsite in Delhi, India, sitting alongside our data entry team to increase efficiency, streamline processes through ML and UI improvements, and triage and fix bugs that occur overnight (US time). You will have a direct, daily impact on production quality and team productivity. Occasional work from home is available. Responsibilities:

Work closely with the data entry team to identify bottlenecks, streamline workflows, and build tooling that increases throughput and accuracy. Develop and implement ML-driven and UI-based improvements to internal processes. Triage and resolve production bugs that arise overnight, ensuring smooth operations for US-based customers each morning. Collaborate with the US-based engineering team to integrate APIs, optimize data flow, and ship frontend and backend improvements. Oversee projects from problem identification through deployment, including architecting solutions, running experiments, and managing rollouts.

Required:

Minimum 5 years of experience in software development. Strong proficiency in React, TypeScript, and modern frontend practices. Comfort working across the stack — willingness to dig into backend (Python/Django) and ML pipelines as needed. Proven track record of deploying and maintaining production web applications. Strong debugging and problem-solving skills, especially under time pressure.

Preferable:

Experience with machine learning workflows or data processing pipelines. Familiarity with Python/Django backend development. Knowledge of cloud services (AWS) and containerization (Docker). Experience in insurance, fintech, or data-intensive industries.

Tech Stack: React, TypeScript, Python, Django, SCSS, Redux Toolkit, Jest, Webpack, Node.js, Git, AWS. Why Join Ping: Be a key player with direct influence on how our team operates day to day. Work with a top-tier team of insurance and tech veterans building ML-powered products that are transforming the property insurance industry. Your work will have immediate, visible impact on production quality and team efficiency. Please apply at jobs@pingintel.com

it's clear now his self-driving technology was never going to work at uber.

ya ok, that makes more sense, thanks

increased or decreased?

You dont have to be MAGA or a Trumper to call it out as being stupid.

i support this.

agreed - no one else is saying this.

that wont happen anytime soon.

I, also frequent this sight to avoid religious dogma.

ya, i agree. but in your world, this company will fail https://glue.ai/ ?

ya ok, this makes total sense. i agree.

sorry, what do you mean?

this doesnt surprise me at all

seems extreme.

Altman is a horrible CEO also, which wont help. He table-side manners are horrible.

this is the argument i continue to have with people. first mover isnt always an advantage - i think openai will be sold or pennies on these dollars someday (next 5 years after they run out of funding).

Google has data, TPUs, and a shitload of cash to burn

this ^^

play stupid games, win stupid prizes.

lots of jealous nerds in this forum ...

Sorry, Ill say it a different way. I dont think Tesla will be able to sell ME a robot within the next 5 years that does my laundry and cooks me dinner. If they want to sell millions of these things, that is what it's going to need to do.

I think robotaxi will eventually everywhere but austin is rolling out a lot slower than i expected.