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IT consulting firm delivering top-notch, Machine Learning Engineer, iOS and Android, data scientist, Developer solutions to industry giants including Delta, Google, Apple, Spotify, US Bank, FedEx, and more.

✍🏽 About Writer Writer is the full-stack generative AI platform delivering transformative ROI for the world’s leading enterprises. Named one of the top 50 companies in AI by Forbes and one of the best places to work by Inc. Magazine, Writer empowers hundreds of customers like Accenture, Intuit, L’Oreal, Mars, Salesforce, and Vanguard to transform the way they work. Writer’s fully integrated solution makes it easy to deploy secure and reliable AI applications and agents that solve mission-critical business challenges. Our suite of development tools is powered by Palmyra – Writer’s state-of-the-art family of LLMs — alongside our industry-leading graph-based RAG and customizable AI guardrails. Founded in 2020 with office hubs in San Francisco, New York City, Austin, Chicago, and London, our team of over 250 employees thinks big and moves fast, and we’re looking for smart, hardworking builders and scalers to join us on our journey to create a better future of work. 📐 About this role Writer is seeking a talented Backend Engineer with deep functional programming and Scala experience to join our dynamic team and contribute to our groundbreaking projects in the enterprise generative AI space. At Writer, we believe in using the power of AI to unlock the potential of the enterprise. With the help of our Backend Engineer, we can continue to build the most advanced language model available in the industry and revolutionize how companies interact with AI. As a Backend Engineer, you will play a crucial role in designing, developing, and maintaining the backend infrastructure that powers our systems. You will collaborate closely with our cross-functional teams to build scalable and efficient solutions. Your expertise in Scala will be instrumental in implementing robust and high-performance backend services. 🦸🏻‍♀️ Your responsibilities * Design, develop, and maintain backend systems and APIs using Scala and related technologies * Collaborate with data scientists and machine learning engineers to integrate AI models into the backend infrastructure * Optimize and scale backend services to handle large volumes of data and ensure high performance * Implement data storage and retrieval mechanisms, ensuring data integrity and security. * Work closely with frontend developers to define and implement APIs that meet the requirements of the user interface * Collaborate with SREs to deploy and monitor backend services in a cloud environment * Conduct code reviews, provide constructive feedback, and ensure adherence to coding standards * Stay up-to-date with the latest industry trends and technologies, and proactively suggest improvements to enhance the backend infrastructure ⭐️ Is this you? * Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field. * Minimum 5 +years of recent professional experience in functional programming and Scala * Proficient in Cats Effect or similar technologies, such as ZIO, Monix, or Scalaz, to design, develop, and maintain high-performance, scalable, and resilient distributed systems * Exceptional understanding of backend development principles, including RESTful APIs, microservices architecture, and database design. * Familiarity with cloud platforms (e.g., AWS, GCP, or Azure) and containerization technologies (e.g., Docker, Kubernetes). * Knowledge of distributed systems, scalability, and performance optimization techniques. * Familiarity with version control systems (e.g., Git) and agile development methodologies. * Excellent problem-solving skills and ability to work in a fast-paced, collaborative environment. * Strong communication skills and ability to effectively articulate technical concepts to both technical and non-technical stakeholders. Preferred Skills and Experience: * 10+ years functional programming experience * 7+ years Scala programming experience * Several years experience with Cats Effect Curious to learn more about who we are and how we operate? ___ 🍩 Benefits & perks * Generous PTO, plus company holidays * Medical, dental, and vision coverage for you and your family * Paid parental leave for all parents (12 weeks) * Fertility and family planning support * Early-detection cancer testing ___ * Flexible spending account and dependent FSA options * Health savings account for eligible plans with company contribution * Annual work-life stipends for: * Home office setup, cell phone, internet * Wellness stipend for gym, massage/chiropractor, personal training, etc. * Learning and development stipend * Company-wide off-sites and team off-sites * Competitive compensation, company stock options and 401k Writer is an equal-opportunity employer and is committed to diversity. We don't make hiring or employment decisions based on race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other basis protected by applicable local, state or federal law. Under the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. By submitting your application on the application page, you acknowledge and agree to ___.

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

Machine Learning Research Scientist / Research Engineer, Post-Training Scale works with the industry's leading AI labs to provide high quality data and accelerate progress in GenAI research.We are looking for Research Scientists and Research Engineers with expertise in LLM post-training (SFT, RLHF,

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. As an ML Sys Research Engineer, you'll work on building out the algorithms for our next-gen Agent RL training platform,

Staff Machine Learning Engineer, Agent Skills Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | New York City, NY About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. Develop and improve the virtual machine infrastructure and affor

Basic Qualifications PhD or equivalent experience in Computer Science, Machine Learning, Operations Research, Statistics, or other related quantitative fields or related field 4 years minimum of industry experience as a Machine Learning Engineer/Research Scientist with a strong focus on deep learn

A leading AI data foundry is seeking a Machine Learning Systems Research Engineer to optimize and develop their training frameworks for next-generation AI models. Ideal candidates will have 1-3 years of LLM training experience, strong software engineering skills, and advanced degrees in Computer Sci

A leading AI company in New York is seeking a highly technical Staff/Senior Staff Machine Learning Engineer to act as the Tech Lead for advanced research agents.The role focuses on driving technical direction, integrating Generative AI and Large Language Models into scalable systems.Candidates must

Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies. New York, NY: $211,000 - $240,800 for Lead Machine Learning Engineer. Richmond, VA: $175,800 - $200,700 for Le

Cloud Digital Leader (Foundational), Generative AI Leader (Foundational), Cloud Engineer Associate, Cloud Developer Professional, Cloud Architect Professional, Machine Learning Engineer Professional, Cloud DevOps Engineer Professional.

As a software engineer (machine learning), you are responsible for designing and developing product features and customer solutions, along with the underlying infrastructure, that are based on AI/ML approaches. You may interact closely with solution engineers, customer value architects, and executio

Software Engineer, Systems Machine Learning Responsibilities:. Collaborate with Machine Learning and Infrastructure engineers to improve proprietary AI accelerator software stack. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applicat

Gusto’s Data Science team leverages Gusto’s rich dataset to guide product direction and decision-making. Gusto considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Interested in building your career at Gusto, Inc.

Work with groups of Research Scientists, Engineers, and Data Scientists in the AI Platform organization and beyond, to deploy, build, adapt, optimize, and deploy LLM models in production at very large scale. Research or Machine Learning Engineer. Experience working with Research Scientists, reading

You are a passionate software engineer with expertise in developing scalable data pipelines, designing robust analytics platforms, and building infrastructure to support machine learning initiatives. By building and maintaining key software tools and platforms, you enable Cisco's business groups to

Your customer will be other MLREs and AAIs on the Enterprise AI team who are taking the training algorithms and applying them to client use-cases ranging from next-generation AI cybersecurity firewall LLMs to training foundation healthtech search models. For 9 years, Scale has been the leading AI da

A leading AI technology company in New York is hiring a Machine Learning Research Engineer to develop next-gen training algorithms and optimize ML systems.The ideal candidate will possess strong software engineering skills and experience with large language models and related algorithms.This full-ti

Machine Learning Research Scientist / Engineer, Reasoning About Scale At Scale AI, our mission is to accelerate the development of AI applications.For 8 years, Scale has been the leading AI data foundry, fueling the most exciting advancements in AI, including generative AI, defense applications, and

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

About The Role**The Principal AI/Machine Learning Engineer will oversee defining and executing ZT’s roadmap for applying artificial intelligence and machine learning in manufacturing. Coach and nurture data stakeholders to maximize their potential and facilitate a culture of learning and growth. G

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.

A leading AI applications company in New York is seeking a Staff Machine Learning Research Engineer to develop cutting-edge training platforms for enterprise clients. This role focuses on training sophisticated AI models, integrating advanced algorithms, and designing innovative multi-agent systems.

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.

The successful Lead MLOps Software Engineer will likely have the following skills and experience:. Machine Learning | AI | Artificial Intelligence | Technology | MLOps | LLMOps | Fintech | Financial Services | Startup | Deployment | Production | LLMs | LLM | Large Language Models | GenAI | Gen AI |

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

In our Data science track we prepare you to get job as one of the following: Python developer, a data analyst, data visualization developer, a statistician, a machine learning engineer or a data scientist. Java programmers use data structures to store and organize data, and we use algorithms to mani

You may be a good fit if you Are proficient in Python and async/concurrent programming with frameworks like Trio Have experience with machine learning frameworks (PyTorch, TensorFlow, JAX) Have industry experience in machine learning research Can balance research exploration with engineering impl

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

Machine Learning Engineer - Model Evaluations, Public Sector. The Public Sector ML team at Scale deploys advanced AI systems—including LLMs, agentic models, and multimodal pipelines—into mission-critical government environments. We build evaluation frameworks that ensure these models operate rel

At the Staff level, Machine Learning Engineers are expected to build broad expertise into our products and the ML solutions that power them as well as drive technical progress for the team. As a Staff Machine Learning Engineer at Rocket Money, you will be at the forefront of our ML and AI product de

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

We bring together world‑class data engineers, platform engineers, machine learning engineers, analytics engineers, and data scientists — all working in harmony to transform raw information into secure, reliable, and actionable intelligence. As a Staff Data Platform Engineer, you will own and evo

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

A leading AI technology firm in Washington DC is seeking a Machine Learning Engineer to design automated evaluation pipelines. The role involves working with advanced AI systems in government settings to ensure reliability and safety.

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