by Terrance Ellis | Dec 23, 2025 | Uncategorized
If you’ve shipped real production work in Palantir Foundry and you can build AI-native data products (not just notebooks and vibes), this is a high-leverage role. You’ll be engineering the platform layer that turns messy healthcare financial and clinical data into “always on” agentic workflows like autonomous coding, denial prevention, and payments.
About R1 (R37)
R1 is a healthcare revenue cycle leader, and R37 is its AI-driven initiative to modernize revenue cycle management using R1’s domain expertise and large-scale operational data, paired with Palantir Foundry capabilities, to deliver enterprise-grade automation and decisioning.
Schedule
- Full-time
- Remote (USA)
- Posted: 26 days ago
- Bonus eligible: Target 30% annual bonus plan
What You’ll Do
- Build Foundry Ontology and Object Views for revenue-cycle entities (encounters, claims, denials, payments)
- Build and harden data pipelines into the canonical Ontology (health checks, lineage, versioning, automated releases)
- Own production operations: monitor refresh cadence, triage failures, enforce release discipline and health SLOs
- Design early-phase AI systems over unstructured healthcare data (retrieval, ranking, categorization, generative features) and ship measurable outcomes
- Define evaluation datasets and metrics, connect model performance to operational KPIs, and build model/data flywheels
- Productionize and maintain AI systems with observability, reliability, and cost control across cloud environments
- Collaborate closely with product and domain experts, document tradeoffs, mentor engineers, and uphold strong SDLC/CI/CD/testing practices
What You Need
- Proven experience shipping production applications on Palantir Foundry (ideally across ingest, Ontology, Workshop, Code Workbooks)
- Data engineering fluency: SQL, Python, (Py)Spark
- Strong software engineering fundamentals: scalable system design, testing, CI/CD, code reviews, documentation, and cross-functional collaboration
Benefits
- Competitive benefits package (company-sponsored)
- Pay range listed: $176,000–$220,000/year (varies by location, skills, experience)
- Annual bonus plan eligible (target 30%)
Backbone note: this role is not “learn Foundry on the job.” They’re signaling they want someone who already knows Foundry in production, can keep pipelines healthy, and can prove AI impact with metrics tied to business outcomes. If that’s not you yet, you’d be better positioned for the “AI Engineer III” type roles than this senior Foundry seat.
Happy Hunting,
~Two Chicks…
by Terrance Ellis | Dec 23, 2025 | Uncategorized
If you’re a full stack .NET engineer who can own production-grade work end to end, tune data-heavy systems, and thrive in an Agile team that actually expects you to lead, this is a strong remote role. You’ll be building and supporting SaaS healthcare applications where performance, reliability, and clean architecture are not “nice to have,” they are the job.
About R1
R1 provides technology-driven revenue cycle solutions for hospitals, health systems, and medical groups, combining revenue cycle expertise with modern platforms, analytics, and automation to improve patient experience and financial performance.
Schedule
- Full-time
- Remote (USA)
- Posted: 20 days ago
- Bonus eligible: Target 10% annual bonus plan
What You’ll Do
- Lead R&D and ship secure, scalable, highly available software from definition through deployment and sustainment
- Partner with Product Management to ensure engineering execution matches design intent and business needs
- Write technical design documentation aligned to business and solution architecture standards
- Identify and implement new technologies/techniques to improve platform performance and customer experience
- Build and support APIs, data modeling, schema development, and application business logic
- Tune SQL queries, refactor business logic for performance, and implement concurrency controls for multi-user environments
- Collaborate across teams and levels, clearly articulating solutions to earn trust and buy-in
- Contribute to end-to-end delivery of high-performing, reliable, scalable, operable solutions in an Agile environment
What You Need
- Bachelor’s in CS/Engineering (or equivalent experience)
- Strong .NET framework knowledge with proficiency in C#, ADO.NET, Entity Framework
- 6+ years building and delivering web-based apps/services
- Strong OOP fundamentals (C#, C++, or Java)
- Web services experience: XML/XSD, SOAP, JSON, REST
- Modern dev practices: version control, unit/integration/system testing, CI/CD
- Agile experience
- Strong written and verbal communication, including concise technical documentation
Benefits
- Competitive benefits package (company-sponsored)
- Pay range listed: $97,211.43–$161,880.71/year (varies by location, skills, experience)
- Annual bonus plan eligible (target 10%)
Quick backbone note: this is not a “mostly front-end” or “API-only” gig. They want someone who can live in the app layer and the database layer, and who can talk performance like an adult (queries, concurrency, refactors) without melting down.
Happy Hunting,
~Two Chicks…
by Terrance Ellis | Dec 23, 2025 | Uncategorized
This is a high-impact engineering role for someone who can own projects end-to-end and ship production-grade systems that move real business outcomes. You’ll be building within R37, an AI-native team focused on removing friction from the healthcare revenue cycle so providers can stay focused on patient care.
About R1 (R37)
R1 builds technology-driven revenue cycle solutions for hospitals and health systems. R37 sits at the sharp edge of that mission, using modern engineering and AI-native tools to solve complex operational problems in healthcare.
Schedule
- Full-time
- Remote (USA)
- Note: In-person interview required (hub-based: San Francisco, New York, Austin, or Chicago; travel provided if needed)
What You’ll Do
- Own projects from concept to production, working backward from business goals
- Design, build, deploy, and operate scalable, maintainable features
- Write clean, tested code and support reliability with monitoring and strong operational practices
- Collaborate with product, design, and engineering partners to translate requirements into shipping software
- Mentor and contribute to team growth through reviews and technical discussions
- Continuously improve your skills and help the team level up in an AI-native environment
What You Need
- Proven experience building and operating large-scale, complex data platforms or systems
- Proficiency in one or more modern languages (Python, Java, Go, Rust, TypeScript, Kotlin, or C#)
- Cloud infrastructure experience (AWS, GCP, or Azure)
- Track record leading technical projects and mentoring other engineers
- Comfort working with AI-native tools and experimenting with new tech (examples mentioned: Cursor, Windsurf, Lovable)
Benefits
- Competitive benefits package (details vary by role/level)
- Annual bonus eligibility
- Salary range listed: $140,000–$220,000/year (based on location, skills, and experience)
Quick reality check (because I’m not letting you waste time): if you’re not already at “I can run complex data/platform work in production and lead projects,” this is a stretch role. If you are, your resume needs to scream: cloud + data pipelines/platform + ownership + mentoring + shipping to prod.
Happy Hunting,
~Two Chicks…
by Terrance Ellis | Dec 23, 2025 | Uncategorized
Own the data side of complex healthcare client implementations, from ingestion to validation to go-live readiness. If you’re strong in SQL, data pipelines, and translating findings for non-technical partners, this role is built for you.
About R1
R1 provides technology-driven solutions that improve the patient experience and strengthen financial performance for hospitals, health systems, and medical groups. They combine revenue cycle expertise with advanced analytics, automation, and workflow orchestration. Their scale supports large healthcare organizations across the U.S.
Schedule
- Full-time
- Remote (USA)
- Application deadline: December 25, 2025 (limited time to apply)
What You’ll Do
- Own complex client implementations from a data perspective, including acquiring, importing, and validating data for go-live readiness
- Partner with client IT teams to obtain data files and ensure they meet specifications
- Manage the data ingestion process from client delivery through system integration
- Perform data research and analysis, including writing queries, analyzing results, and identifying trends
- Build reports on system performance, client data trends, and other business needs
- Present findings clearly to both technical and non-technical stakeholders
- Serve as a technical mentor to Data Operations Analysts on the team
- Identify issues impacting the team or clients and contribute ideas to improve processes
What You Need
- Strong SQL (or similar) and SSIS mastery
- Experience managing data pipelines
- Analytical experience with high attention to detail and strong critical thinking
- Ability to learn new tools and processes quickly
- Strong organization skills and the ability to manage multiple projects and priorities
- Clear communication skills with both technical and non-technical stakeholders
Benefits
- Competitive compensation (salary role)
- Annual bonus eligibility (target bonus program)
- Competitive benefits package
This one has a hard deadline, so don’t overthink it. If your SQL + pipeline experience is real, move now while the window is still open.
Build clean data, ship clean go-lives, and let your results talk.
Happy Hunting,
~Two Chicks…
by Terrance Ellis | Dec 23, 2025 | Uncategorized
If you want true work-from-home tech support and you’re willing to learn fast, this role is a simple on-ramp. Paid training, benefits potential, and a company culture that promotes from within if you show up and do the work.
About OneSupport
OneSupport provides customer-focused technical support and case follow-up for clients who rely on their services daily. They emphasize internal growth and offer training to help new reps succeed.
Schedule
• Fully remote
• Full-time and part-time options
• Shifts available: day, evening, and night
• Weekend availability may be required
• Pay: $12/hour starting day one of training (Florida: $13/hour; Virginia: $12.41/hour)
• PTO accrues starting day one, available to use after 90 days
What You’ll Do
• Provide technical support and customer service while following up on client cases
• Document and track issues, ensuring customers receive accurate, timely help
• Communicate clearly with customers and stay organized across multiple cases
• Work independently from a quiet home setup while meeting performance expectations
What You Need
• A computer running an authentic/validated/native copy of Windows 11
• USB headset, webcam, and at least one 15” or larger monitor
• Internet speed: at least 2 Mbps download and 1 Mbps upload (Ethernet connection preferred)
• Ability to type 40 WPM with 80% accuracy
• Ability to sit for extended periods and work in a distraction-free workspace
• Must live in an eligible state: Alabama, Arkansas, Florida, Idaho, Kansas, Mississippi, Montana, Nevada, New Mexico (excluding Santa Fe County and Las Cruces), North Carolina, Ohio, South Carolina, Tennessee, Texas, Utah, Virginia, or Wisconsin
Benefits
• Medical, dental, vision, life insurance (eligibility depends on employment status)
• 401(k) with matching
• Paid time off
• Flexible schedule
• Referral program
Quick reality check: the pay is entry-level, so the “win” here is the remote setup + benefits + internal promotion path. If you’re trying to build a track record in tech support and move up, this is a decent stepping stone.
Happy Hunting,
~Two Chicks…
by Terrance Ellis | Dec 21, 2025 | Uncategorized
Coinbase is hiring a senior-ish ML engineer to build and own fraud/scam/account takeover models that protect millions of users. This is not “research for vibes.” It’s production ML in a high-stakes environment, where the model you ship changes whether someone gets robbed or gets through checkout.
About Coinbase
Coinbase’s mission is to increase economic freedom through crypto. Culture is intense, performance-driven, and not for everyone. They’re remote-first, not remote-only, and expect you at multiple offsites per year.
Schedule
- Full-time, remote-first (not remote-only)
- In-person offsites required multiple times a year
- Base salary range: $186,065–$218,900 (plus bonus, equity, benefits)
- Job ID: GPML05US
- #LI-Remote
- Application cap: max 4 applications in any 30-day period
What You’ll Do
- Own a critical risk domain (Scams or Account Takeover) end-to-end
- Design/architect complex risk detection systems: feature pipelines → model choice (GNNs, LSTMs, LLMs) → high-performance serving
- Translate messy business needs into a clear technical roadmap (you’re the “how” person)
- Lead by example: code reviews, design docs, mentoring mid/junior engineers
- Apply advanced ML (deep learning, NLP, anomaly detection, recommender-style approaches) to crypto-native problems
- Build context-aware risk systems that decide the right “friction” (quiz vs LLM agent vs human review) balancing security and user experience
What You Need
- 6–8+ years in software engineering and/or AI/ML with production deployment experience
- Proven technical leadership designing and shipping large-scale ML systems from scratch
- Strong applied ML expertise (risk ML, deep learning, NLP, anomaly detection, etc.)
- Expert coding (Python) and experience with PyTorch/TensorFlow
- Strong communication to both technical and non-technical stakeholders
Nice to Have
- MS/PhD in CS/AI/DS or related
- Familiarity with ML infra: feature stores (Tecton), serving (RayServe), Airflow, Spark, Kafka
- GNNs, sequence models (LSTMs), LLMs (fine-tuning/agents), or RL
- Solid MLOps habits: monitoring, drift, iterative improvement
- Data analysis + visualization chops
Benefits
- Medical, dental, vision
- HSA with company contributions
- Disability + life insurance
- 401(k) with match
- Wellness stipend
- Mobile/internet reimbursement
- Connections stipend
- Volunteer time off
- Fertility benefits
- Generous time off/leave
- Option to get paid in digital currency (where available)
My blunt take: this role screams “credible ML operator” not “I took one Coursera and I’m dangerous.” If you don’t have real production ML deployment plus risk/fraud-ish instincts, Coinbase will sniff that out fast. But if you do? This is the kind of seat that upgrades your whole career.
Happy Hunting,
~Two Chicks…
