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About Alaffia & Our Mission Each year, the U.S. healthcare system suffers from over $500B in wasted spending due to medical billing fraud, waste, and administrative burden. At Alaffia, we’re committed to changing that paradigm. We’ve assembled a team of clinicians, AI engineers, and product experts to build advanced AI solutions that will directly bend the cost curve for all patients across the healthcare ecosystem. Collectively, we’re building best-in-class AI software to provide our customers with co-pilot tools, AI agents, and other cutting-edge solutions to reduce administrative burden and reduce healthcare costs. We’re a high-growth, venture-backed startup based in NYC and are actively scaling our company. About the Role & What You’ll Be Doing Alaffia is a healthcare AI startup revolutionizing health and data automation. Our AI-driven platform leverages state-of-the-art generative AI and machine learning technologies to enhance accuracy, efficiency, and compliance in medical billing and auditing. As we scale, we are seeking a Senior ML Ops Engineer to build the cutting-edge AI solutions, drive innovation, and shape the future of healthcare automation. At Alaffia, AI is at the core of our mission. We are seeking an experienced engineer who is passionate about deploying scalable, safe, and regulatory-compliant AI-driven systems. Our AI technology powers intelligent automation for medical billing, ensuring accuracy and operational efficiency. We seek someone who thrives on building large-scale AI systems that enhance workflow efficiency, while also prioritizing all the necessary safety guardrails for responsible AI. You will have the opportunity to orchestrate various AI agents with an optimized system design that integrates AI platforms, data storage, and human-in-the-loop feedback. In this role, you’ll be shaping the future of AI-driven healthcare automation while tackling some of the most significant challenges in AI deployment and monitoring. Your Responsibilities • Deploy NLP, OCR, and multi-modal AI products on secure cloud environments., • Design AI system, focusing on pipeline architecture and tooling to ensure scalability, observability, performance, latency and fault tolerance requirements, • Design data schema and develop ETL processes to integrate data and human annotation with AI model tuning and benchmarking pipelines., • Create best practices for data and AI experiment management, • Write highly robust, scalable code that is flexible, reusable, and adaptable to evolving requirements., • Ensure high code quality through rigorous code review processes and foster a collaborative engineering culture., • Build and leverage AI tools to improve developer efficiency and alignment across teams., • Proactively identify, resolve, and mitigate technical risks before deployments and releases. What We’re Looking For: • 8+ years of technical experience, with at least 4+ years in a dedicated software engineering role, • Strong background in data modeling, versioning, and storage for AI data and annotation, • Recent development experience of scalable enterprise AI products, • Proficient in multiple AI frameworks, for example, MLFLow, LangChain, LangFuse, CrewAI, Weights & Bias, • Firm understanding of AI software development and quality assurance procedures, • Working knowledge and design skills across a wide array of databases, • Experience with AI experiment tracking, monitoring, and comparison, • Demonstrated ability to stay up to date with the latest AI methodologies and systems., • Exceptional problem-solving skills and the ability to work in a fast-paced, evolving environment., • Excellent communication and collaboration skills, with the ability to articulate complex technical concepts to non-technical stakeholders. Our Culture At Alaffia, we fundamentally believe that the whole is more valuable than the sum of its individual parts. Further to that point, we believe a diverse team of individuals with various backgrounds, ideologies, and types of training generates the most value. Our people are entrepreneurial by nature, problem solvers, and are passionate about what they do — both inside and outside of the office. What Else Do You Get Working With Us? • Competitive compensation package (cash + equity), • Medical, Dental and Vision benefits, • Flexible, paid vacation policy, • Work in a flat organizational structure — direct access to Leadership

Collaborate with data scientists, engineering teams, product managers, and program managers in an open and creative environment. Machine Learning Engineer will join our Applied Data Science group, part of Nexxen DSP Software Development.

As a Scientific Machine Learning Research Engineer.

Work with a cross-functional team of applied researchers, data scientists, software engineers, machine learning engineers and product managers to test and design AI- powered products that change how customers interact with their money. Lead Data Engineer (Generative AI). As a Capital One Lead Data E

Who We Are At Moxxi, we’re redefining performance marketing with cutting-edge technology and a relentless focus on results. As a profitable, bootstrapped start-up, we are led by a team of industry veterans in performance marketing, ad tech, and digital publishing. Together, we’re building the premier platform to incubate, scale, and optimize digitally born businesses, setting new standards for data-driven success. Our entrepreneurial team brings proven experience from both global corporations and fast-growing startups. We’re passionate about delivering scalable, profitable outcomes for our partners through advanced profiling, targeting, and continuous optimization. Joining Moxxi means becoming part of a growing start-up in the heart of NYC, where you’ll have the opportunity to accelerate your career, expand your skill set, and shape the future of performance marketing. As a Senior Software Engineer at Moxxi, you'll play a critical role in building the platforms and tools that power our performance marketing engine. From designing intuitive interfaces in our CMS and CRM to scaling backend systems for real time ad delivery and A -driven optimizations, you’ll operate across the stack to bring ideas to life. You’ll be hands-on with data, APIs, UI components, and machine learning integrations collaborating closely with cross functional teams to solve meaningful business problems through code. If you're passionate about performance, experimentation, and building high impact products in a fast paced environment, this role is for you. • Architect, develop, and maintain scalable and resilient backend systems powering our CMS, AdServer, CMS, CRM, and optimization pipelines., • Build reusable UI components and responsive interfaces that allow marketers to manage, launch, and analyze campaigns with ease., • Build high performance APIs and services that integrate with internal platforms and external ad ecosystems., • Partner with the Account Managers and Operations team to productionize models that drive ad personalization, budget pacing, and bid optimization., • Design and evolve real time and batch data pipelines that support campaign analytics, attribution, and experimentation at scale., • Lead cross functional collaboration with product, design, and business teams to translate requirements into robust software solutions., • Ensure system observability, operational excellence, and uptime across critical infrastructure components., • Mentor junior engineers and contribute to a culture of clean, maintainable, and well-documented code., • Drive technical planning and contribute to the evolution of our platform strategy and long-term architectural vision., • Stay up to date with industry trends in advertising technology, distributed systems, and machine learning and bring relevant innovations into the team., • Take ownership of major initiatives and continuously identify opportunities to improve performance, scalability, and developer experience., • Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience., • 7+ years of professional experience building and maintaining production-grade software systems, including significant experience in full-stack development., • Deep experience writing scalable backend services in Go, ideally within microservice-based architectures., • Proficiency in TypeScript, with experience in frontend frameworks such as React or Angular, and building APIs or server-side logic with TypeScript (e.g., Node.js)., • Experience designing and integrating RESTful APIs and working with distributed systems., • Familiarity with cloud-native development using Google Cloud Platform (GCP) services, particularly BigQuery and Cloud Run., • Understanding of software engineering fundamentals including system design, data structures, and algorithms., • Strong attention to detail, debugging, and performance optimization skills across the stack., • Excellent communication and collaboration skills; able to work effectively with cross-functional teams, including product, data, and design., • A self-starter mindset with a passion for shipping features, solving real-world business problems, and continuously improving engineering practices., • Master’s degree in Computer Science, Engineering, or a related technical field., • Experience in the AdTech industry, especially with ad serving, real-time bidding systems, or content management platforms (CMS), • Familiarity with Ads infrastructure standards, • Hands-on experience with data streaming technologies like Apache Kafka, Pub/Sub, or Kinesis., • Knowledge of infrastructure as code tools like Terraform and container orchestration systems like Docker and Kubernetes., • Exposure to non-relational databases (e.g., BigTable, DynamoDB) and caching systems such as Redis or Memcached., • Prior work on cost optimization, performance tuning, or infrastructure efficiency at scale., • Familiarity with AI/ML-powered ad optimizations, A/B testing frameworks, or campaign experimentation systems., • Awareness of ads regulatory trends, user privacy regulations, and legal compliance within digital marketing ecosystems (e.g., GDPR, CCPA, TCPA). Salary Range $140,000 - $200,000 USD

A leading AI company is seeking a Machine Learning Research Engineer to work on cutting-edge AI applications and algorithms.You will train advanced models, integrate new research, and develop agents for enterprise solutions.Ideal candidates have 1-3 years of experience with LLMs, a relevant advanced

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Figma also offers sales incentive pay for most sales roles and an annual bonus plan for eligible non-sales roles. At Figma we celebrate and support our differences. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, relig

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Machine Learning Research Engineer, Agents - Enterprise GenAI AI is becoming vitally important in every function of our society. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and

A leading AI solutions provider based in Seattle is seeking a Machine Learning Research Scientist / Research Engineer. This role focuses on enhancing LLM capabilities through novel post-training techniques such as SFT and RLHF.

Staff Machine Learning Research Engineer, Agent Post-training - Enterprise GenAI AI is becoming vitally important in every function of our society. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and develo

A pioneering AI company in Seattle is seeking a Staff Machine Learning Engineer to enhance the capabilities of their AI systems. The ideal candidate will have extensive experience in machine learning and software engineering, with a focus on developing agentic systems.

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About Scale AI At Scale AI we develop reliable AI systems for the world's most important decisions. Scale AI is seeking a highly technical and strategic Staff / Senior Staff Machine Learning Engineer to act as the Tech Lead for its next generation of deep research agents for the Enterprise. Set the

A leading AI company is seeking a Machine Learning Research Engineer to work on cutting-edge AI applications and algorithms.

Lead Machine Learning Engineer. We’re looking for a Staff Machine Learning Engineer to build, fine-tune, and deploy AI models at scale. Placing the Top AI and Machine Learning Talent (NYC).

For 9 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including generative AI, defense applications, and autonomous vehicles. At Scale, our mission is to develop reliable AI systems for the world's most important decisions. At Scale, our mission

At Bedrock, we've assembled one of the most experienced autonomous technology teams in the industry, with deep expertise scaling breakthroughs across transportation, infrastructure, and enterprise software.

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At Scale AI, our mission is to accelerate the development of AI applications.For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including: generative AI, defense applications, and autonomous vehicles.With our recent Series F round, we're accel

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Strong foundation in machine learning, statistics, and deep learning fundamentals. At Pave, we’re building the industry’s leading compensation platform, combining the world's largest real-time compensation dataset with deep expertise in AI and machine learning. At Pave, we’ve built a system of

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As we hope you've seen already, Etsy is a place that values individuality and variety. While Etsy supports visa sponsorship, sponsorship opportunities may be limited to certain roles and skills. Etsy or Depop, you will tackle unique, meaningful, and large‑scale problems alongside passionate cowork

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A leading AI firm in New York is seeking a Machine Learning Research Engineer to contribute to innovative AI solutions.You'll build synthetic data pipelines, create actionable insights, and enhance our agent-building product.The ideal candidate has over 3 years of experience with LLMs, relevant publ

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What you'll do As a Machine Learning Engineer on the Foundation Model team, you'll solve some of Stripe's most challenging technical problems that span multiple teams and directly impact our research and engineering efforts around building the Foundation Models that power our payments and risk solut

Software Engineer, Machine Learning Responsibilities:. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Experience with developing machine learning models at scale from inception to business impact.

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