
501 - 1000 employees
Founded 2019
đź’Ľ Consulting
🛡️ Insurance
🏥 Healthcare
đź’° Series C - Rula on 2024-07
Consulting • Insurance • Healthcare
Rula is a mental health care platform that connects patients with licensed therapists and psychiatric providers across the United States, offering online and in-person therapy, psychiatry, and medication management. The platform works with over 120 insurance plans nationwide (including Medicare, Medicaid, and many major commercial carriers), verifies coverage, provides cost estimates, and offers in-network pricing (average $15 per session with insurance) and cash rates for self-pay. Rula supports 90+ conditions (anxiety, depression, PTSD, ADHD, OCD, bipolar disorder, etc. ), provides tools for scheduling and managing appointments, and offers resources like tests/quizzes and a provider directory spanning all 50 states. It serves patients directly and partners with employers, health plans, and health systems, and emphasizes clinical standards, provider reviews, and ongoing professional development.
🔥 12 hours ago
🇺🇸 United States – Remote
đź’µ $282k - $370.6k / year
⏰ Full Time
đź”´ Lead
🤖 AI Engineer
đź‘» Ghost score 0%
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501 - 1000 employees
Founded 2019
đź’Ľ Consulting
🛡️ Insurance
🏥 Healthcare
đź’° Series C - Rula on 2024-07
Consulting • Insurance • Healthcare
Rula is a mental health care platform that connects patients with licensed therapists and psychiatric providers across the United States, offering online and in-person therapy, psychiatry, and medication management. The platform works with over 120 insurance plans nationwide (including Medicare, Medicaid, and many major commercial carriers), verifies coverage, provides cost estimates, and offers in-network pricing (average $15 per session with insurance) and cash rates for self-pay. Rula supports 90+ conditions (anxiety, depression, PTSD, ADHD, OCD, bipolar disorder, etc. ), provides tools for scheduling and managing appointments, and offers resources like tests/quizzes and a provider directory spanning all 50 states. It serves patients directly and partners with employers, health plans, and health systems, and emphasizes clinical standards, provider reviews, and ongoing professional development.
• Own applied AI and ML solutions across mental healthcare • Drive search ranking, relevance, and patient-provider matching • Shape personalization and recommendation strategies • Direct foundational ML platforms supporting AI solutions at scale • Develop advanced recommendation engines and retrieval models • Apply NLP and generative AI to clinical workflows • Set technical standards for AI safety • Make principal decisions about introducing machine learning into a high-stakes environment • Develop and fine-tune Learning-to-Rank models, embeddings, recommendation algorithms, and LLMs • Design product-facing AI architectures and core ML infrastructure • Unblock complex engineering problems • Act as a technical multiplier for engineers across product surfaces • Ship applied AI features that improve match quality and user experience • Build scalable, durable AI foundations • Set direction for relevance, recommendation systems, and the broader AI ecosystem • Improve patient outcomes through responsible applied ML
• 10+ years of software engineering experience • 7+ years of experience designing and scaling distributed systems • 5+ years building and deploying production-grade ML applications • 5+ years building and optimizing search, ranking, relevance, or recommendation engines at scale • Deep experience with Learning-to-Rank, collaborative filtering, deep recommender systems, or semantic vector search • 5+ years of programming experience in Python and at least one backend language, preferably TypeScript, Java, or Go • 2+ years building AI-powered products using foundation models such as OpenAI, Anthropic, or Gemini • Experience with LLM integration patterns such as RAG and agents • Proven experience with Elasticsearch or OpenSearch • Proven experience with vector databases such as Pinecone, Weaviate, FAISS, or Milvus • 3+ years of experience with MLOps, data pipelines, and rigorous evaluation systems • Experience with offline metrics such as NDCG/MAP and online A/B testing • Ability to define technical strategy and guide the broader AI/ML infrastructure ecosystem • Must be based in the United States; Rula currently does not hire in Hawaii • Preferred: secure and compliant AI solutions in regulated environments, including HIPAA and GDPR • Preferred: human-in-the-loop systems and clinical decision support frameworks • Preferred: evaluation pipelines for human alignment, factual accuracy, or model interpretability • Preferred: contributions to open-source AI frameworks or applied research in NLP, healthcare AI, or GenAI safety • Preferred: early-stage team growth experience • Preferred: leading or mentoring engineering teams in AI, ML platform, or applied research domains
• 100% remote work environment • Attractive pay and benefits with transparent pay ranges • Medical, dental, vision, life, disability, and FSA/HSA • 401(k) plan access • Generous time-off policies, including 2 company-wide shutdown weeks each year • Paid parental leave for birthing, non-birthing, adopting, and fostering parents • Employee Assistance Program (EAP) • Quarterly department stipend for team-building activities or in-person gatherings • Community and employee resource groups • New hire home office stipend • $50 monthly stipend for internet or cell phone expenses • Year-round wellness initiatives • $50/month wellness stipend • Equity offered • Bonus included in total cash range
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