Agency hiring for a client through a fast-lane process. Permanent full-time position. US work authorization is needed due to the Public Trust Clearance requirement.
General Requirements - Experience - 7 to 8 years of overall professional experience in data science, analytics, or a related field
- At least 2–3 years of hands-on experience specifically focused on Large Language Models (LLMs) and related techniques (e.g., fine-tuning, instruction tuning, prompt engineering).
- Ability to obtain a Public Trust Clearance (Required for the role)
- Must be authorized to work in the United States.
Technical Proficiency:
- Coding knowledge and experience with at least one of the following languages: Python, C, R, Java, Scala, with strong proficiency in Python being highly preferred.
- Proven ability to use statistical computer languages (Python, R, SQL, etc.) for data manipulation, analysis, and model development.
- Knowledge of ML and data mining techniques (Regression, Deep Learning, NLP, Time Series Analysis, Social Media Analysis, etc.).
- Familiarity with AWS services (Athena, S3, Glue, SageMaker, Comprehend, Bedrock) for scalable model development.
- Preferred: exposure to MLOps tools, big data technologies (Hadoop, Spark), or other cloud services.
LLM-Focused Skills (Desired, not all required): - PEFT (LoRA/QLoRA) for efficient model fine-tuning. - Instruction Fine-tuning, Retrieval-Augmented Generation (RAG), Chain-of-Thought (CoT)/Tree-of-Thought (ToT). - Quantization, Pruning, and Knowledge Distillation strategies for model optimization. - Experience with Hugging Face Transformers, LangChain, Llama Index, and/or large-scale training frameworks. - Familiarity with LLM evaluation, interpretability, and best practices.
- Our main languages are Rust and TypeScript, we also use mobile and offline pipeline languages (Python, Scala, and Terraform).
- We're based in NYC with our HQ in Union Square.
Interesting things we're working on:
- HorizonDB, our Geospatial database written in Rust
- Precise indoor location more accurate than iOS and Android leveraging Ultra-Wideband and other sensors.
- Anomaly detection to identify spoofed locations
- Mobile infrastructure that automatically configures itself optimizing battery-life and location accuracy for different use-cases over time
- Multi-Region AWS deployment, 99.99%+ availability, Speeding up deploys of backend data services with EC2 Warm Pools
- Automating security posture with Vanta
- Frontend tools to visualize and debug location data at scale
Check out our jobs page here: https://radar.com/jobs#jobs
If you have any questions, feel free to reply here or you can e-mail me at tim@radar.com
We're a growth-stage (Series A in 2022) company that builds technology to enhance the quality of care for vulnerable older adults. Our product is guiding the transition from complex, paper-based practices in the long-term care industry to a digital platform solution that unlocks the power of personalized care, predictive analytics and happier caregivers. We're proud that we absolutely delight our customers: https://www.augusthealth.com/customer-testimonials.
Our team brings together deep expertise in technology, healthcare, and company-building. We’ve led teams at Apple, Google, Landmark Health, and Adobe, co-founded and exited multiple companies, shipped products used by hundreds of millions of users, and managed clinical teams caring for thousands of patients.
Backed by top-tier Silicon Valley investors, we are partnering with some of the largest senior care organizations in the U.S. to transform the future of senior living.
Technologies we use: Scala, Play Framework, Protobuf, Kubernetes, Postgres. You don’t need to have specific experience in all of these, but the ability & self-motivation to learn them is a must.
Please apply here: https://jobs.ashbyhq.com/august-health/85e7580b-58cd-440c-ba...