Trabajos Engineering en Woodside, New York - Page 4Crear alertas

We are looking for an innovative Full Stack Engineer to accelerate our product and systems development in a fast-paced, startup environment. Proficiency with the full QA process, with a track record of collaborating with QA teams to enhance front-end quality and outcomes.

Principal Machine Learning Engineer.

Your primary focus will be on building and maintaining production-grade AI systems using best practices—leveraging tools like LangChain, vector databases, and retrieval-augmented generation techniques. Collaborate with product and design teams to rapidly prototype and iterate on AI-powered feature

Proven track record of expertise in at least one area of computational research, automation, data engineering, data science, software engineering, mathematics, computer science, or other hard sciences. Those with engineering and data science backgrounds must have either a…. Substantial academic an

We are one of the leading tech investment firms globally, with a track record of investing in some of the most valuable companies in the world.

Our client is looking to hire a.Their tools help companies hire top tech talent by detecting and preventing AI-assisted fraud, while accurately measuring a candidate's genuine skills.You'll be on the front lines of this fight, architecting the systems that analyse candidate behaviour, create dynamic

Medal enables millions of gamers to capture and share their best gaming moments and create memories together.Medal's 1M+ daily active users create 3M+ videos per day on our desktop and mobile applications.Your work will have a real impact on millions of people around the world!.This role will be res

You have a strong background in machine learning, with experience and expertise in personalized machine learning algorithms, especially recommender systems. Be part of an active group of machine learning practitioners in New York (and across Spotify) collaborating with one another. You have hands-on

You have a working knowledge of machine learning fundamentals and hands-on experience with Python, Java, or Scala and modern ML frameworks like PyTorch or TensorFlow.

Solid understanding of statistical analysis, data modeling, and machine learning algorithms. Several years of experience in machine learning, data science, or software development is often preferred. Senior / Staff / Principal Machine Learning Engineer.

Machine Learning Engineer will join our Applied Data Science group, part of Nexxen DSP Software Development. In this hands-on role, you will work in close collaboration with data scientists to build the next generation of applied data science infrastructure for real-time performance optimization and

Perplexity is seeking experienced Applied AI&ML Engineers to help build next generation of personalization experience. Partner with product managers and partner team engineers to ensure fast and high quality deliverable to end users.

We are looking for a Senior Machine Learning Engineer to join the Personalization team - an area of hardworking engineers that are passionate about understanding what drives user satisfaction with Spotify - and who make impactful changes to recommendation systems to achieve this goal. You have a str

We are seeking a talented Machine Learning Engineer to drive our efforts in leveraging advanced Large Language Models (LLMs) within Cantina Code. Deploy and manage machine learning models and services on AWS. Founded in 2021 by former Ethereum Foundation Solidity engineers, Spearbit tackles Web3 sec

Integrate machine learning models into production systems using frameworks like SageMaker. Contributions to open-source machine learning projects. If you are passionate about building robust machine learning systems from scratch and thrive in a collaborative, fast-paced environment, we'd love to hea

Position: Systems Architect - WC Location: New York, NY - Hybrid (50%) Hours: M-F 8:30 am - 5:00 pm Pay Rate: $72.Job Summary iPRS (Integrated Policy Renewal System) / EPS (Earned Premium System) An in-house transaction processing system designed for Workers Compensation Insurance premium calculatio

This role requires close collaboration across engineering, product, and platform teams to support end-to-end delivery—from development through production. You’ll help build the foundation for how we deploy, monitor, and scale our systems as the company continues to grow. Build, maintain, and imp

Deep experience with modern cloud infrastructure (preferably AWS) and infrastructure-as-code tools (Pulumi, Terraform, etc. This role is perfect for someone who thrives on autonomy, systems thinking, and building reliable, secure infrastructure from the ground up. Own and evolve our cloud infrastruc

Job Title: Cloud DevOps Engineer / Architect. Cloud DevOps Engineers / Architects. Certified Solutions Architect – Associate / Professional.

Come work on the Site Reliability & Infrastructure Engineering team at Vimeo! Your job will be to design, develop, deploy, maintain, and optimize the platform that powers an application that is part of the infrastructure of the Internet: Vimeo. Whatever it takes (within reason) to make Vimeo faster,

Build scalable machine learning models for claim time series forecasting and NLP text understanding. A ML Engineer who thrives on first principles problems that no one has ever worked on before. You are an ML Engineer / Data Scientist with 2+ years of experience, preferably in highly scalable produc

Must also have experience in the following: 2 years of professional experience utilizing Machine Learning to analyze data; 2 years of professional experience using Machine Learning models, Machine Learning problem framing and best practices, and Natural Language Processing; 2 years of professional e

Perplexity is seeking experienced AI Infrastructure Engineers to build the next generation of personalization infrastructure. Experience building and deploying ML for personalization: retrieval/ranking models, feature engineering, offline evaluation, and online experimentation (A/B, interleaving).

Site Reliability Engineer, DevOps Engineer, or similar role. Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience. Hybrid Work Arrangement: We offer a hybrid work schedule to perfectly combine the benefits of remote work and the essential conne

About the role We're looking for Site Reliability Engineers to work on our production infrastructure. Radar is a high-throughput, data intensive application handling 1 billion+ API calls per day. Over the past year, Radar has been used from over 100M devices worldwide. We run a multi-availability zone architecture and a major initiative is to enhance our deployment to be multi-region. The stack: We use Terraform to manage our infrastructure. We deploy everything to AWS via EKS. We use MongoDB deployed to Atlas. We do CI and deployments via CircleCI. We monitor production with CloudWatch, grafana, Pingdom and PagerDuty. DNS is managed by CloudFlare. Most engineers are in the on-call rotation. Our main server languages are TypeScript and Rust. Our data pipelines are written in Airflow and Scala Spark. We sponsor OpenStreetMaps, MapLibre and OpenAddresses. How we work: Most of our engineering team are former technical co-founders or former Radar interns from schools like Waterloo and CMU. Most engineers at Radar fit one of two molds, technically: either Staff level expertise in one stack, or Multi-Stack at any level. We say Multi-Stack because "Full-Stack" has the connotation of "Frontend and Backend", but Radar Engineers might also work on Mobile or Data engineering. Not that you need to be an expert in all of those, but a desire to learn, jump around to different stacks and get things done is the important part. We care a lot about shipping fast and talking to customers. We're committed to our product vision of full-stack location infrastructure, but we also know that customer feedback is a treasure map to gold. Even though Slack is the brain of our company, working together in-person in our NYC HQ is the fastest way for us to get things done. We meet on Mondays to plan out work for the week in small groups and use Linear for planning. All projects are run by an Engineering lead, an executive and a Go-to-Market lead. Engineers figure out what to build, talk to customers, talk to prospects, help close them, get them live and make them successful. One of the hardest and most valuable practices we have is Walk A Mile - which is shorthand for putting yourself in the user's shoes - but also for literally walking a mile and dogfooding the Radar SDK, because you can't create location infrastructure behind a desk - you have see how the device behaves in the real world. To us, a week is a long time, and we expect to ship big things every week. The hiring process: After a brief call with our CTO, we'll invite you to our NYC HQ for an interview if we think there is a possible match. During that time we'll work on system design problems together and do some coding for 2 hours to build something simple. You'll meet one of our co-founders and we'll also go into more depth about how we work to see if there is a match. What you’ll do: * Work on core Radar infrastructure using Terraform all deployed to AWS via EKS * Work on critical company-level initiatives, for example, 99.99+% availability, multi-region deployment, and cloud cost-saving activities * Have your work be used by 100's of millions of devices * Be part of the on-call rotation (one week rotation every 1-2 months) * Talk to Radar customers and prospects, hear their feedback, incorporate it into your work and make them successful You should: * Have experience managing a production AWS environment via Terraform * Have experience with high availability multi-region production infrastructure running on Kubernetes * Have experience managing large sharded Mongo clusters with heavy read-write workloads * Have experience at a high growth startup * Be interested in talking to customers or prospects and making them successful Bonus points if you: * Are a former technical co-founder * Have experience with high throughput data intensive applications You’ll work with * ___, CTO * ___, Senior Staff SRE * Our Engineering, Customer Success, Sales Engineering and Sales teams * Our customers and prospects Benefits & Perks: * Competitive compensation package and equity plan * Medical, dental, and vision plans with 100% premiums covered for you * 401(k) plan with a generous employer match * Unlimited PTO vacation policy * Paid parental leave * Weekly catered breakfast and lunch at our NYC office * Free CitiBike membership (if based in tri-state area) * Monthly fitness reimbursement and wellness programs via Classpass and Gympass Compensation: For candidates based in the United States, the base salary range for this full-time position is between $150,000 - $250,000/year with an opportunity for performance bonuses and incentives. In addition to cash compensation, Radar offers full-time employees a competitive equity plan with stock option grants. This is a meaningful ownership stake in the company that we provide to our employees as we build a category-defining company together. About Us ___ is location infrastructure for every product and service. Companies like Vercel, Panera, and T-Mobile use Radar's geofencing SDKs and maps APIs to power location-based experiences across hundreds of millions of devices worldwide. Founded in 2016, Radar is headquartered in New York, NY. Radar has raised $85.5M from leading venture capital firms including Accel and Insight Partners. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity workplace.

The Music Promotion team is building products that allow creators to promote their work to reach new audiences and create lasting connections with their fans.

Player-coach with a background of Solutions or Forward Deployed Engineering and 2+ years of coaching small teams.

Production Systems: Experience designing, building, and maintaining scalable AI infrastructure and data pipelines. Design, build, and maintain the infrastructure that powers Grata’s AI features at scale, including data pipelines, model serving, and monitoring systems. Collaborate closely with AI S

Work with business stakeholders and other engineers to turn customer problems into technical requirements and impactful features. Establish and evangelize standards for AI/ML engineering and data quality across the team. Experience applying LLMs and generative AI in production, including prompt engi

Collaborate with product and engineering teams to integrate AI features into scalable products.

Work directly with architects, engineers, and domain experts who shape the system. GreenLite is founded by experts in technology, development, and within the AEC (Architecture, Engineering, and Construction) industry, and backed by leading venture capital firms. As a key hire in our AI engineering o

MS/PhD in Computer Science, Machine Learning, Artificial Intelligence or a related field. Proficiency in Python and strong experience with machine learning frameworks such as scikit-learn, TensorFlow, PyTorch. Strong expertise in agent architectures, reinforcement learning, or other systems built on

The firm’s core capabilities include global execution, portfolio, electronic and outsource trading, investment banking, prime brokerage, capital introduction, corporate access, research and strategy, commission management and more. You’ll be the first dedicated SRE, responsible for the infrastru

Proven experience as a Site Reliability Engineer, DevOps Engineer, or similar role. As a highly skilled Site Reliability Engineer (SRE), you will contribute to building systems that optimize the uptime and reliability of our platform, and support the management and optimization of our DevOps and inf

Location -Lincoln Mass Onsite .Service-Disabled Veteran Owned non-traditional small business.We push the boundaries of engineering disciplines and emerging technologies to pioneer transformative data.We code, we architect, we engineer, and we have fun – whether simulating in a synthetic battlespa

Are excited by the idea of self-hosting and managing infrastructure with build automation and configuration management tools (e.

We are looking for a solutions oriented DevOps Engineer to join our rapidly growing team! As a DevOps Engineer, you'll be at the forefront of innovation, spearheading the management of Constrafor's core systems across various domains including SaaS, Fintech, ETL pipelines, CI/CD, and beyond. Build a

As a key member of ActiveViam’s global infrastructure team, you will architect, implement, and maintain modern, secure, and scalable IT infrastructure to support our business and clients. R&D, Customer Success, Operations, and IT Infrastructure Team to align infrastructure with business needs and

In this next phase, we have some amazing infra, engineering, product, and GTM opportunities ahead of us this year, and we are looking for exceptional members to join us for this adventure. As an AI/ML Engineer at Warp, you will lead our effort to use AI agents to automate the startup back office. Yo

The Music Mission team owns Spotify’s end to end proposition for music creators and the experiences they create for fans. Work closely with Music Mission Tech Research and Personalization teams to ideate and innovate on Music Promotion Tools. Since launching in late 2020, Discovery Mode has quickl

As an early AI engineer, you’ll shape the foundations of our AI stack and drive the invention of new techniques, tooling, and models. Familiarity with tools that power today's AI: eval frameworks, agent tooling, and prompt engineering. AI/ML technologies including PyTorch, OpenAI APIs, Baseten, an

As a Senior AI Engineer at Resonance, you will be deploying cutting-edge AI solutions for both internal processes and client facing products. Build and maintain the data curation pipelines to feed machine learning models. You will contribute in the design and implementation of these AI-driven system

Build scalable machine learning models for claim time series forecasting and NLP text understanding. You are an ML Engineer / Data Scientist with 3+ years of experience, especially in highly scalable production environments.

Participate in cutting-edge research in computer vision. An advanced degree in Computer Science, Mathematics or a similar quantitative discipline - a Ph. Proven experience in ML with a Computer Vision focus.

You’ll play a dual role — driving innovation in AI-driven search and vector database technologies, while also engaging directly with our customers, developer community, and broader AI ecosystem. Hugging Face, OpenAI, LangChain). Analyze performance, identify bottlenecks, and implement scalable s

As a champion of ethical AI, you'll lead the charge in developing responsible AI practices, ensuring our coaching solutions maintain the highest standards of fairness, transparency, and user trust. As a founding Applied AI Engineer at Valence, you'll spearhead the development of groundbreaking AI-dr

Academic background in machine learning, mathematics, or related fields preferred. Machine Learning Engineers at Tennr are expected to wear a variety of hats. Architect, train, deploy, and monitor machine learning models, especially open-source LLMs and traditional computer vision models, to deliver

This is a fast-growing team and you will get a chance to own and define the strategy, vision, and plan for how to accelerate machine learning at Hinge. Get a $3,000 annual Learning & Development stipend once you’ve been with us for three months. You also get free access to Udemy, an online learnin