• Drive the technical vision for Hive Team - We're building high-leverage internal platforms that power Pagaya’s decisioning and analytics.
• Lead complex, cross-functional technical projects from inception to implementation, ensuring alignment with architectural standards and best practices.
• Mentor and guide engineers to foster technical excellence, while partnering with product, engineering, research, and ops to translate complex requirements into scalable, reliable systems.
• Establish and champion engineering best practices, high coding standards and a winning professional culture, within our team and across the engineering organization.

We are looking for a highly skilled Senior Machine Learning Engineer to lead our transition from on-demand, third-party LLM APIs to a fully self-hosted, scalable model ecosystem.

Our core product is an advanced, agentic support chatbot capable of complex reasoning, API tool calling, database lookups, and orchestrating specialized Small Language Models (SLMs) for targeted NLP tasks. As we scale, our current deployment infrastructure (AWS SageMaker) is becoming unsustainable. You will be responsible for architecting, deploying, and optimizing an infrastructure capable of supporting 50 to 100 distinct models ranging from 100M to 70B parameters.

What You’ll Do:

• Inference Optimization: Deploy and manage large-scale models using high-performance inference engines (like vLLM) to ensure low latency and high throughput for our agentic chatbot.
• Agentic Workflows: Develop and refine the chatbot's agentic capabilities, ensuring reliable tool-use, routing, and interactions between massive LLMs and specialized SLMs.
• Model Fine-Tuning: Design and execute fine-tuning strategies to improve model accuracy on specific domain tasks and tool-calling execution.
• Rigorous Evaluation: Build comprehensive offline and online evaluation frameworks to constantly measure model performance and business impact through structured A/B testing.

What We’re Looking For:

Core Engineering & AI Frameworks

• Strong proficiency in Python and Bash scripting.
• Deep experience with PyTorch and the Hugging Face ecosystem.
• Experience using AI coding assistants natively in the terminal, specifically Claude Code, to accelerate development workflows.

LLMs, Inference & Agents

• Proven experience deploying models using vLLM, TGI, or similar high-performance inference servers.
• Strong fundamental understanding of LLM architectures, attention mechanisms, and generation parameters.
• Hands-on experience building Agentic systems (ReAct, function/tool calling, RAG).
• Expertise in fine-tuning strategies (e.g., SFT, RLHF, DPO) and parameter-efficient techniques (PEFT/LoRA).

Statistics & Model Evaluation

• Offline Metrics: Deep understanding of classification/summarization metrics (Precision, Recall, F1, AUC) and retrieval metrics (MRR, NDCG, Precision/Recall @ k).
• Online Metrics & A/B Testing: Strong statistical foundation to design and analyze A/B tests safely, including the use of t-tests, Mann-Whitney U tests, and bootstrapping techniques.

Bonus Points

• Containerization & Orchestration: Experience with Ray for orchestrating large-scale model deployments across multi-GPU clusters.
• Model Quantization: Experience with memory optimization techniques like AWQ, GPTQ, GGUF, or FlashAttention to fit 70B models efficiently onto hardware.
• API Development: Proficiency in building robust, asynchronous microservices using FastAPI to serve model requests.

• Knowledge of Data Engineering principles: dataset collection, cleaning, processing, and scalable storage.

Experience with core MLOps practices, including dataset versioning (e.g., DVC), experiment tracking (e.g., Weights & Biases, MLflow), and model registries.

What is this opportunity?

We are looking for a Senior Backend Developer to join our engineering team. You will focus on developing and maintaining the server-side logic and infrastructure that power our innovative applications.

Who are you?

This is an opportunity to build foundational systems that directly impact how healthcare providers deliver care. Your work will power the platform that thousands of clinicians rely on daily, combining technical challenges with meaningful real-world impact.

How will you contribute?

• Audio Processing Pipeline - Design and scale our audio processing infrastructure to handle high volumes with low latency and maximum reliability
• LLM Integration & Production - Partner with Data Scientists to instrument, deploy, and operationalize Large Language Models in production environments
• Backend Platform - Lead platformization efforts to create abstractions, tooling, and frameworks that elevate backend development across the organization
• Modern Tech Stack - Build with Python, FastAPI, Kafka, and Airflow while helping shape our technical evolution
• Company-Wide Initiatives - Drive high-impact projects that define product capabilities and technical direction

What We're Looking For

• 5+ years of backend engineering experience
• Strong foundation in building and scaling distributed systems and data pipelines
• Experience with event-driven architectures and workflow orchestration (Kafka, Airflow, or similar)
• Modern API development experience (FastAPI, or equivalent frameworks)
• Interest in ML/AI infrastructure and bringing models to production
• Team player who thrives on collaboration and working cross-functionally
• Passion for infrastructure, platform thinking, and operational excellence
• Bonus: Experience with audio processing, LLM deployment, or healthcare technology

This is a unique opportunity to join a startup that has a meaningful impact on the well-being and mental health of thousands. 

We have:

• A product that positively impacts people's lives every single day.
• A team of amazing people with a shared vision and the infinite drive to make it happen
• We offer significant equity.
• Opportunity to build, grow, and become highly instrumental in shaping how technology can increase the effectiveness of therapy
• Hybrid work opportunities.
• On mental health days off, you can take any given moment simply because you need them.

• Design, implement, and maintain scalable and reliable data pipelines and backend systems supporting both operational and analytical needs, with a focus on ML/AI product enablement.
• Ensure data processing is optimized for speed, efficiency, and fault tolerance, enabling seamless integration with AI/ML workflows and reliable performance across all Eleos Health products.
• Monitor and improve uptime, reliability, and observability of our data infrastructure and pipelines.
• Build and maintain systems to ensure data quality, consistency, and usability across the organization, enabling advanced analytics and AI solutions.
• Work closely with product and engineering teams to deliver new features rapidly and with a high standard of technical excellence.
• Drive innovation in how we build, measure, and optimize data features, backend services, and AI product integrations.
• Participate in on-call rotations with a service-oriented approach and fast responsiveness.
• Lead scalability efforts to support increasing data volumes, expanding AI/ML initiatives, and new product launches.

• At least 5 years of experience with Python in backend or data engineering roles, designing and operating large-scale data pipelines, backend services, and data infrastructure in production environments.
• Hands-on experience working on ML/AI-powered products in production, with strong understanding of requirements for integrating data platforms with AI features.
• Familiarity with modern LLM (Large Language Model) and RAG (Retrieval-Augmented Generation) technologies, and experience supporting their deployment or integration.
• Familiar with or have worked with these technologies (or alternatives):
  • Data Processing & Streaming: Apache Spark, DBT, Airflow, Airbyte, Kafka
  • API Development: FastAPI, micro-service architecture, SFTP
  • Data Storage: Data Lakehouse architectures, Apache Iceberg, Vector Databases, RDS
  • ML/AI: ML/LLM libraries and frameworks (such as Gemini, Hugging Face, etc.)
  • Cloud Infrastructure: AWS stack (S3, Firehose, Lambda, Athena, etc.), Kubernetes (K8s)
• Demonstrated ability to optimize performance and ensure high availability, scalability, and reliability of backend/data systems.
• Strong foundation in best practices for data quality, governance, security, and observability.
• Ability to collaborate effectively with engineering, data science, and product teams in a cross-functional setting.
• Track record of innovative thinking on feature-level implementations, metric definitions, and AI/data integrations.
• Service-oriented approach, particularly in high-responsibility, on-call situations.

This is a unique opportunity to join a startup that is having a meaningful impact on the well-being and mental health of thousands. We have

• A product that positively impacts peoples' lives every single day.
• A team of amazing people with a shared vision and the infinite drive to make it happen
• We offer significant equity.
• Opportunity to build, grow and become highly instrumental in shaping how technology can increase the effectiveness of therapy.
• Hybrid work opportunities. 
• Mental health days off you can take any given moment simply because you need them. 

As Armis scales, we are looking for a Software Engineer to join the evolution of our Exposure Management core. You will be responsible for the high-throughput architecture that ingests and correlates data from hundreds of integrations and data sources. Your mission is to transform billions of raw data points into a unified asset inventory and an intelligent engine for security risk prioritization and remediation.

Our stack: Python, MongoDB, AWS, FastAPI, ECS, Celery

 What you'll do​

• Design and build an infrastructure to correlate multiple data sources and matching methods
• Research and develop algorithms for asset discovery , and solve complicated identification issues
• Develop extendable libraries and utilities which will speed-up our implementations and make sure we’re building scalable and high-quality solutions
• Work closely with product and other R&D teams
• Help with solving complex customer issues with our solutions and platform

What we expect

• 5+ years of experience in a backend-heavy role using Python/GO/C++/Java
• Proven track record of developing and maintaining production-grade, enterprise-level distributed systems
• Experience in system architecture and the ability to find creative, elegant solutions to complex problems
• Deep understanding of performance optimization and concurrency in high-scale, data-intensive environments
• Analytical mindset and a data-driven approach for problem-solving
• The mentality of a team player, excellent communication skills and a strong sense of ownership and urgency
• BS degree in Computer Science, Information Technology or equivalent

Desirable Multipliers:

• Experience with ETL / data pipeline (experience with Spark is a plus)
• SQL and no-SQL databases
• Asynchronous programming
• Microservice architecture
• Network Security

Who is Eleos Health?

Today, more people than ever are speaking publicly about their mental health. Whether it’s ourselves, our friends and family, or even public figures, taking care of your behavioral health is no longer a taboo — it’s vital, and it’s only human.

Eleos is on a mission to help deliver the world’s most effective behavioral care through data, measurement, and personalization. Or simply put, we want to give clinicians the support they need to do the important work only they can do.

What is this opportunity?

We’re looking for a Full Stack Engineer to join our innovation team — a small, high-autonomy group focused on discovering and building Eleos’s next growth engines.

This is a startup-within-a-startup opportunity: you’ll help take early ideas from 0→1, validate them quickly in the market, and shape what could become the company’s next major product line.

We move fast and operate in ambiguity — but we do it with care. You’ll build lean, production-ready prototypes that can evolve into scalable solutions, balancing speed with technical soundness. Our goal is to move fast without breaking things that matter.

You’ll collaborate closely with Eleos’s R&D, Product, and Data teams, ensuring your experiments align with the company’s architecture, principles, and long-term direction.

Who are you?

You’re a builder at heart — someone who loves turning rough ideas into working products. You’re comfortable switching between backend, frontend, data, DevOps, or QA if that’s what it takes to move forward.

You thrive in uncertainty but know when to pause and build things the right way. You understand how to make pragmatic trade-offs between time to market and maintainability.

You enjoy working independently, but you also value alignment and collaboration with the broader engineering organization to ensure what you build can grow sustainably.

How will you contribute?

• Build and deliver end-to-end prototypes and MVPs across varied tech stacks — from web apps to AI-driven tools.
  
  
• Balance speed and craftsmanship: build for learning, but with an architecture that allows scaling if the experiment succeeds.
  
  
• Collaborate with Product, Data, and R&D peers to validate hypotheses, integrate with existing systems, and share learnings.
  
  
• Take ownership from ideation to delivery — including scoping, development, and feedback loops.
  
  
• Contribute to a culture of experimentation, pragmatism, and technical excellence.
  
  

What qualifications and skills will help you be successful?

• 8+ years of hands-on experience as a full-stack engineer.
  
  
• Proficiency in React (or similar modern frontend frameworks) and Node.js / FastAPI / equivalent on the backend.
  
  
• Solid understanding of data models, REST/GraphQL APIs, and cloud infrastructure.
  
  
• Strong system design instincts, you know how to build for flexibility and speed without leaving chaos behind.
  
  
• Comfort operating autonomously in a fast-changing environment and collaborating across teams.
  
  
• Proficiency with AI-coding tools and rapid prototyping.
  
  
• Bonus: experience with AI integrations and browser extensions.
  
  

About the role

The Senior Backend Engineer will be responsible for enhancing and scaling Rhino’s Federated Computing Platform (FCP), used around the world to power cutting edge AI/ML research and development for healthcare and other regulated industries, ultimately driving a shift in innovation and delivery in these industries. You will be responsible for developing new features and enhancements spanning several different technologies and will be expected to learn new technologies as this field is evolving rapidly. You will work closely with other backend engineers, frontend engineers, devops engineers, data scientists, product managers, and business stakeholders across the company. Day-to-day, your role will be architecting, designing, and developing backend sub-systems in Python. You will also work closely with frontend development in JavaScript/TypeScript and React, with infrastructure development on Kubernetes with Terraform, and with data science and AI/ML development using a wide range of model architectures and libraries. This role is for a fast learner who loves technology and is excited to build a cutting edge platform that will improve healthcare and privacy preservation around the world.

• Take entire backend sub-systems from ideation through design and implementation across a broad range of technologies and environments.
• Interface closely with (occasionally also writing code for) frontend, devops, and data science components.
• Introduce improvements to our tools and methodologies to increase the velocity of our development team and the reliability of our platform, including using the latest AI tooling.

About the candidate

Candidates should have the experience described below:

• 7+ years of software development
• 5+ years developing production platforms/products/applications in Python
• 3+ years using web application frameworks like Django/Flask/FastAPI
• Experience working in a startup environment
• Advantage for experience developing AI/ML based products or platforms
• Advantage for experience developing distributed systems
• The role is open to candidates who are based in Israel (hybrid work environment)