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SOCOTEC

<div>
 
 Description Du Poste
 
 
 Company Description
 
 
 
 SOCOTEC is a provider of niche consulting services within the architecture, engineering and construction industries focusing on high-performance buildings and specialty structures. Through an integrated, holistic approach, our professionals provide solutions for building envelope, energy efficiency, sustainability, code advisory and construction advisory projects
 
 
 SOCOTEC&rsquo;s combination of expertise, experience and methods are increasingly recognized as best-in-class fueling significant growth.
 
 
 SOCOTEC is proud to announce that it has been officially certified as a Great Place to Work by the renowned global authority on workplace culture, Great Place to Work&reg;.
 
 
 
 Job Description
 
 
 
 As an Applied AI Engineer at SOCOTEC, you will be responsible for designing, developing, and deploying AI models that enhance our chatbot program and other AI-driven solutions. You will collaborate with cross-functional teams, including data scientists, software engineers, and business stakeholders, to integrate advanced AI technologies that address real-world challenges within our industry. You will focus on building scalable, efficient, and accurate machine learning pipelines while staying at the forefront of the latest AI advancements.
 
 
 <ul>
 <li>
 Developing AI Models: Design and implement machine learning models tailored to natural language processing (NLP) and other AI applications within our chatbot and enterprise systems.
 </li>
 <li>
 Collaborating with Cross-Functional Teams: Work closely with product managers, data scientists, and software engineers to translate business requirements into intelligent AI-driven solutions.
 </li>
 <li>
 Building and Maintaining AI Pipelines: Create and optimize end-to-end machine learning pipelines, from data preprocessing to model deployment, ensuring scalability and performance.
 </li>
 <li>
 Optimizing Model Performance: Continuously fine-tune and improve the accuracy, speed, and robustness of AI models, leveraging techniques like hyperparameter tuning and model optimization.
 </li>
 <li>
 Implementing Best Practices in AI/ML Development: Ensure the reliability and quality of AI models by following best practices for training, testing, and model evaluation.
 </li>
 <li>
 Integrating AI Solutions: Work closely with backend engineers to integrate AI models into production environments using tools like LangChain and cloud services.
 </li>
 <li>
 Staying Updated with AI/ML Trends: Keep up with the latest developments in AI, machine learning, and natural language processing, applying new techniques to improve our technology stack.
 </li>
 <li>
 Documentation: Provide detailed documentation of AI workflows, models, and algorithms to facilitate collaboration and ensure long-term maintainability.
 </li>
 <li>
 Perform all duties as assigned by your manager
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Proficiency in Python and experience with AI/ML libraries such as Scikit-learn, TensorFlow, PyTorch, and Hugging Face.
 </li>
 <li>
 Strong understanding of natural language processing (NLP) and experience building chatbot or conversational AI systems.
 </li>
 <li>
 Hands-on experience with AI model development, including data preprocessing, model training, evaluation, and deployment.
 </li>
 <li>
 Familiarity with AI/ML tools like Jupyter Notebook and cloud platforms such as AWS, GCP, or Azure.
 </li>
 <li>
 Experience with version control systems (e.g., Git, GitHub) and agile development methodologies.
 </li>
 <li>
 Ability to optimize model performance and scale AI solutions for production use.
 </li>
 <li>
 Experience with frameworks like LangChain for building conversational AI workflows.
 </li>
 <li>
 The ideal candidate should have at least 2-5 years of experience
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Familiarity with reinforcement learning, transfer learning, or other advanced AI techniques.
 </li>
 <li>
 Knowledge of model monitoring, A/B testing, and continuous improvement strategies for AI systems.
 </li>
 <li>
 Experience with containerization tools like Docker for deploying AI solutions.
 </li>
 <li>
 Passion for exploring and implementing the latest advancements in AI technology.
 
 
 </li>
 </ul>
 We are seeking a creative and detail-oriented individual who is passionate about building and deploying AI-driven solutions. If you thrive in a collaborative environment and are excited about shaping the future of AI at SOCOTEC, we encourage you to apply.
 
 
 
 Additional Information
 
 
 
 For more information, please visit www.socotec.us
 
 
 Job Type: Full-Time, onsite 4 days a week
 
 
 Salary: $90k-$150k
 
 
 All your information will be kept confidential according to EEO guidelines.
 
 
 Socotec is an equal opportunity employer committed to diversity and inclusion in the workplace.
 
 
 SOCOTEC is an Equal Opportunity Employer.
</div>

Applied AI Engineer

WorkOS

<div>About WorkOS
WorkOS builds tools and services for developers to help them implement authentication, identity, authorization, and overall enterprise readiness. We&rsquo;re a fully distributed team with employees across North American time zones. We&rsquo;re well-funded, having raised $100m in funding from top investors including Greenoaks Capital, Lachy Groom, and Lightspeed Ventures. Our fast-growing customer base includes rapidly growing SaaS companies like OpenAI, Cursor, Perplexity, Vercel, Plaid, and hundreds of others.<h2 class="jobSectionHeader">
About the Role</h2>
We&rsquo;re building an Applied AI function to dramatically increase productivity across Engineering, Sales, Support, and Operations.
As an Applied AI Engineer, you&rsquo;ll design and ship production AI systems that change how WorkOS builds, sells, and supports software. Your focus is internal: building durable tools and workflows that teammates rely on every day.
You&rsquo;ll work on a small, high‑ownership team that:<ul><li>
Chooses problems based on measurable impact.</li><li>
Moves from idea prototype production in days or weeks.</li><li>
Adapts quickly as models, tools, and best practices evolve.</li></ul>
This is a 0 1 role with company‑wide visibility.<h2 class="jobSectionHeader"> 
What you&rsquo;ll do</h2><ul><li>
Work closely with Engineering, Sales, Support, and Ops to uncover high‑leverage internal problems where AI can remove bottlenecks or unlock new workflows.</li><li>
Design and build tools that become part of people&rsquo;s daily work &ndash; agents, automations, and workflows that are stable, observable, and easy to maintain.</li><li>
Use LLMs, embeddings, retrieval, and tool‑calling to plug into docs, Slack, GitHub, CRM, analytics, support systems, and internal services.</li><li>
Replace repetitive, multi‑step manual processes with orchestrated, AI‑driven flows that span multiple apps and data sources.</li><li>
Stay current on new models and tooling, run focused experiments, and help the team converge on patterns, libraries, and infra that compound over time.</li></ul><h2 class="jobSectionHeader">
Example problems you might work on</h2><ul><li>
Turning noisy, cross‑tool workflows (tickets, Slack threads, docs) into a single agent that handles triage, routing, and suggested actions.</li><li>
Building AI‑assisted engineering workflows that shorten the loop from &ldquo;bug report or idea in Slack&rdquo; to changes safely deployed in production.</li><li>
Designing a GTM agent that helps reps research accounts, prepare meetings, and follow up using context from CRM, product usage, and prior conversations.</li></ul><h2 class="jobSectionHeader">
What we&rsquo;re looking for</h2><ul><li>
You&rsquo;ve taken AI‑powered systems from idea to production and through at least one iteration cycle with real users.</li><li>
Strong engineering fundamentals. You&rsquo;re comfortable owning services, data flows, and integrations end‑to‑end.</li><li>
Experience with LLM APIs, embeddings, retrieval / RAG‑style architectures, and structured tool‑calling (or agents), even if not all in production yet.</li><li>
You&rsquo;re comfortable stitching together APIs, webhooks, event systems, and internal tools, and you think about failure modes, observability, and ownership.</li><li>
Bias toward action. You care less about showing off a model and more about removing real bottlenecks, saving hours, or unlocking workflows the company couldn&rsquo;t do before.</li><li>
Comfort with ambiguity and fast change. You enjoy working in areas where the problem, the tools, and the &ldquo;right&rdquo; patterns are evolving quickly &ndash; and you&rsquo;re excited to help define them.</li></ul><h2 class="jobSectionHeader">
Nice to have</h2><ul><li>
Prior work with enterprise SaaS, identity / auth, or security‑sensitive systems.</li><li>
Exposure to MCP or similar protocols for connecting AI agents to real systems.</li></ul>
Benefits (US Only)
At WorkOS, we offer resources that emphasize personal and familial well-being. We offer healthcare coverage for you and your family, including medical, dental, and vision. We offer parental leave, paid-time off and fully remote working arrangements. 
Benefits include:<ul><li>Competitive pay</li><li>Substantial equity grants</li><li>Healthcare insurance (Medical, Dental and Vision) for you and your family</li><li>401k matching</li><li>Wellness and fitness monthly allowances</li><li>PTO + paid holidays + unlimited sick leave</li><li>Autonomy and flexibility with remote work</li></ul>
Please inquire directly with our recruiting team for benefits available to those working outside the US. 
Equal Opportunity Employer
WorkOS is an equal opportunity employer, committed to diversity and inclusiveness. We will consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Compensation Range: $175K - $275K</div>

Photon

<div>Job Description
 
 
LLMs: Gemini, OpenAI + Claude + Llama + Local Models
 
Frameworks: LangChain + LlamaIndex + Hugging Face
 
Orchestration: LangGraph + Multi-Agent Systems
 
Development: Python + FastAPI + Async Programming
 
RAG: PostgreSQL + Vector DBs + Advanced Retrieval
 
ML/DL: PyTorch + TensorFlow + Fine-tuning
 
Deployment: Docker + Production APIs + Monitoring
 
Tools: Prompt Engineering + Workflow Design + GenAI Optimization 
 
<ul><li>Compensation, Benefits and Duration
Minimum Compensation: USD 40,000
 
Maximum Compensation: USD 141,000
 
Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role.
 
Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full time employees.
 
This position is not available for independent contractors
 
No applications will be considered if received more than 120 days after the date of this post</li></ul></div>

Sr Gen AI Engineer - NY/NJ

James Search Group

<div>
 
 
 AI/ML Engineer
 
 
 
 
 Location:
 
 New York, NY
 
 
 
 Compensation:
 
 $135,000 &ndash; $175,000 base + bonus + full benefits, (401(k), and more)
 
 
 
 Industry:
 
 Global P&amp;C Insurance
 
 
 
 
 
 
 About the role and the company.
 
 
 
 James Search Group is working closely with a top-tier global property &amp; casualty insurance carrier to identify an
 
 AI/ML Engineer
 
 to join their enterprise Data and Artificial Intelligence division. This team is driving innovation across the business by developing and scaling AI capabilities that unlock new value and improve decision-making across underwriting, claims, and customer engagement.
 
 
 
 
 
 As an AI/ML Engineer, you'll collaborate with senior team members to build, refine, and deploy predictive models and intelligent systems. The ideal candidate is skilled in analytics, curious by nature, and passionate about transforming complex data into practical solutions that deliver measurable business impact.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Support the development and deployment of AI/ML models&mdash;including classification, forecasting, uplift and propensity modeling, and foundational model tuning.
 </li>
 <li>
 Collaborate with cross-functional teams to identify use cases where data science can enhance operational efficiency and business performance.
 </li>
 <li>
 Partner with business, IT, and strategy teams to ensure AI models are scalable, impactful, and aligned with organizational goals.
 </li>
 <li>
 Communicate analytical findings clearly to stakeholders with varying levels of technical knowledge.
 </li>
 </ul>
 
 
 
 
 
 Required Qualifications:
 
 
 <ul>
 <li>
 Master&rsquo;s degree in Data Science, Statistics, Mathematics, Computer Science, or a related quantitative discipline; Ph.D. a plus.
 </li>
 <li>
 Minimum of 2 years&rsquo; experience applying advanced analytics methods (e.g., decision trees, logistic regression, neural networks, random forests).
 </li>
 <li>
 Proficiency in R or Python for analytics and model development, including work with both structured and unstructured data.
 </li>
 <li>
 Proven ability to manage and integrate large, complex datasets and an understanding of end-to-end data modeling processes.
 </li>
 <li>
 Strong written and verbal communication skills with the ability to connect technical outputs to business strategy.
 </li>
 </ul>
 
 
 
 
 
 Preferred Qualifications:
 
 
 <ul>
 <li>
 Internship or project experience in machine learning, AI engineering, or related roles&mdash;especially in insurance or financial services.
 </li>
 <li>
 Familiarity with actuarial concepts or insurance-specific data models.
 </li>
 <li>
 Enthusiastic about continued learning in AI/ML and staying current with new tools and methodologies.
 </li>
 <li>
 Comfortable in a collaborative, fast-paced, and agile working environment.
 </li>
 </ul>
 
 
 
 
 This is a unique opportunity to grow your career with a highly respected organization investing in next-generation analytics.
 
 
 
 
 
 
 Apply today
 
 to help reshape the future of insurance through data and AI innovation.
 
</div>

Machine Learning Engineer

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
We're seeking a Software Development Engineer to join our Conversational Ad Experiences (CAX) team within Sponsored Products and Brands (SPB). SPB enables merchants, vendors, and brand owners to drive incremental sales through contextually relevant ads across Amazon properties (Amazon.com, Alexa, etc.) and third-party publishers. 
 
The CAX team specializes in developing sponsored conversational experiences powered by large language models (LLMs). We're pioneering multiple industry-first initiatives that, while complex and ambiguous, offer opportunities to create significant impact for our consumers, advertisers, and the business. 
 
Key job responsibilities 
<ul><li>Drive major product and engineering initiatives</li><li>Build large-scale, low-latency distributed systems</li><li>Develop ML infrastructure and LLM-based AI workflows</li><li>Partner with our science team to implement LLM models in production</li><li>Contribute to LLMOps</li><li>Design, build, and operate customer-facing functionality impacting hundreds of millions of shoppers worldwide</li></ul> 
About the team 
The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through industry leading generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising.
</div><h2 class="jobSectionHeader">BASIC QUALIFICATIONS</h2><ul><li>3+ years of non-internship professional software development experience</li><li>2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience</li><li>1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience</li><li>1+ years of Object Oriented Design experience</li><li>Experience programming with at least one software programming language</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience</li><li>Bachelor's degree in computer science or equivalent</li><li>Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution</li><li>Experience developing, deploying and managing AI products at scale</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, NY, New York - 158,100.00 - 213,800.00 USD annually 
USA, WA, Seattle - 143,700.00 - 194,400.00 USD annually</div>

Software Development Engineer , Sponsored Products and Brands

Giga

<div>
 
 About Giga
 
 
 
 Giga has recently raised a $61M Series A and has several paying customers, including DoorDash. We&rsquo;re building the next generation of customer experience &mdash; real-time AI agents that can understand emotion, resolve issues instantly, and scale across the world&rsquo;s largest enterprises.
 
 
 It&rsquo;s an exciting inflection point for the company. While we have been successful, we have larger ambitions. Our goal is to become the go-to AI platform for all enterprise automation, powered by our voice superintelligence. To achieve this, we need more great engineers.
 
 
 The work affects millions of people every day and our engineers have autonomy and make true impact. This opportunity is unique because we have brilliant founders, have found commercial success, and see a clear path to becoming a generational company. Some further info about us:
 
 
 <ul>
 <li>
 Voice AI startup Giga raises $61M Series A
 </li>
 <li>
 DoorDash and Giga Partnership
 
 
 </li>
 </ul>
 Giga builds AI agents trusted by the largest B2C companies in the world. Industry leaders like DoorDash trust Giga with their most complex support and operations workflows across voice, chat, and email. If being a part of this resonates with you, please apply!
 
 
 
 The Role
 
 
 
 We're looking for software engineers to help build the systems that power our AI agents. You'll work across the backend, from data pipelines and integrations to agent infrastructure, shipping features alongside experienced engineers who will help you grow.
 
 
 This is a role where you'll contribute to real problems from day one. We expect you to ramp up quickly, take ownership of your work, and operate with increasing independence as you learn the codebase.
 
 
 
 What You'll Work On
 
 
 
 You'll contribute to projects across our stack. Some examples:
 
 
 <ul>
 <li>
 Atlas: Building features for our AI assistant: charts and alerts in Slack, natural language queries, and expanding Atlas to manage platform resources
 </li>
 <li>
 Activity Stream: Log visualization with filters, timestamps, and frequency charts to give visibility into agent behavior
 </li>
 <li>
 Dynamic knowledge: Adding time-based knowledge (like ongoing incidents) that auto-updates from sources like status pages
 </li>
 <li>
 Agent memory: Conversation awareness and recent interaction lookups so agents remember context across sessions
 
 
 </li>
 </ul>
 As an early-career engineer, you'll be paired with senior engineers on larger initiatives while also owning smaller projects end-to-end as you ramp up.
 
 
 
 You Might Be a Fit If You
 
 
 
 <ul>
 <li>
 Have 1-3 years of professional software engineering experience
 </li>
 <li>
 Are curious and ask good questions&mdash;you want to understand why things work, not just how
 </li>
 <li>
 Can take feedback well and iterate quickly
 </li>
 <li>
 Prefer shipping over perfection but still care about quality
 </li>
 <li>
 Want to grow at a startup where you'll have real responsibility early
 
 
 </li>
 </ul>
 
 Perks &amp; Benefits
 
 
 
 <ul>
 <li>
 Catered lunch daily
 </li>
 <li>
 Dinner stipend
 </li>
 <li>
 $150/month wellness benefit (gym, fitness classes, mental health)
 </li>
 <li>
 401(k) plan
 </li>
 <li>
 Paid parental leave (12 weeks maternal, 6 weeks paternal)
 </li>
 <li>
 Commuter benefits
 </li>
 <li>
 Medical, dental, and vision coverage
 
 
 </li>
 </ul>
 Giga is an equal opportunity employer. We're committed to providing equal employment opportunities regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by law.
 
 
 Compensation Range: $160K - $250K
 
 
</div>

Software Engineer I / II - New York

Meta

<div>Meta is seeking talented engineers to join our teams in building cutting-edge products that connect billions of people around the world. As an AI Native SWE, you will work on complex technical problems, build new AI-powered and generative AI features, and improve existing products across all platforms. Our teams are pushing the boundaries of user experience through LLMs, conversational and multi-modal AI, context-aware systems, and AI-powered automation&mdash;and we&rsquo;re looking for engineers who bring an AI-first mindset, move fast through rapid iteration and experimentation, and raise the bar on quality and reliability for AI-driven experiences. 
 
 
<h3 class="jobSectionHeader">Software Engineer, AI Native Responsibilities:
 
</h3><ul><li>Collaborate with cross-functional teams (product, design, operations, infrastructure) to build innovative AI-native application experiences</li><li>
Build and integrate LLM / generative AI capabilities into product surfaces (mobile, web), including prompt engineering, structured prompting, and context management</li><li>
Develop and maintain reusable software components for interfacing with back-end platforms, model serving/inference layers, and AI toolchains</li><li>
Implement retrieval-augmented generation (RAG) patterns (e.g., embeddings + retrieval) and contribute to context-aware and personalized user experiences</li><li>
Contribute to agentic workflows and AI agents (including human-in-the-loop / expert-in-the-loop designs) to automate tasks and scale impact</li><li>
Analyze, debug, and optimize code and systems for quality, efficiency, performance, reliability, and cost</li><li>
Establish effective quality practices for AI features, including evaluation/QA for AI outputs, monitoring, and iterative improvement via feedback loops</li><li>
Architect efficient and scalable systems that power complex applications and AI-enabled features, identify and resolve performance and scalability issues</li><li>
Drive end-to-end execution of medium-to-large features with increasing independence, contribute to technical direction within the team</li><li>
Establish ownership of components, features, or systems with comprehensive end-to-end understanding</li></ul> 
 
 
<h3 class="jobSectionHeader">Minimum Qualifications: 
</h3><ul><li>
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience</li><li>
6+ years of programming experience in a relevant language OR a PhD + 3 years programming experience in a relevant language</li><li>
Experience building maintainable and testable codebases, including API design and unit testing techniques</li><li>
Experience collaborating cross-functionally and contributing to technical decisions through influence, communication, and execution</li><li>
Experience effectively utilizing AI technologies and tools (e.g., large language models, agents, etc.) to enhance workflows</li></ul> 
 
 
<h3 class="jobSectionHeader">Preferred Qualifications: 
</h3><ul><li>
Experience with one or more languages such as C/C++, Java, Python, JavaScript, Hack, and/or shell scripting</li><li>
Experience with AI/ML techniques and workflows such as fine-tuning, transfer learning, few-shot/zero-shot approaches, and/or model distillation</li><li>
Experience implementing RAG, embeddings, or knowledge-backed generation and familiarity with tokenization and transformer-based systems</li><li>
Experience in one or more of the following: LLMs, generative AI, machine learning, recommendation systems, pattern recognition, data mining, or related fields</li><li>
Experience designing AI agents, orchestration, and human-in-the-loop systems and treating AI as a collaborator to accelerate delivery</li><li>
Experience with architectural patterns of large-scale software applications and improving efficiency, scalability, and stability of system resources</li><li>
Experience improving quality through thoughtful code reviews, appropriate testing, rollout, monitoring, and proactive changes</li><li>
Understanding of Responsible AI practices (AI safety, ethics, alignment, explainability) and building safeguards/quality controls for AI outputs</li><li>
Experience with ML tooling/frameworks such as PyTorch, TensorFlow, and Python</li></ul> 
 
 
<h3 class="jobSectionHeader">About Meta: 
</h3>
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today&mdash;beyond the constraints of screens, the limits of distance, and even the rules of physics. 
 
 
<div>Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
 
 
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com. 
 
$74.04/hour to $217,000/year + bonus + equity + benefits 
 
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.</div></div>

Software Engineer, AI Native

Explore 244+ Ai engineer in New York United States this March. Find roles across top companies and apply now to boost your career.

244 ai engineer jobs In New York United States

Applied AI Engineer

Applied AI Engineer

Sr Gen AI Engineer - NY/NJ

Machine Learning Engineer

Software Development Engineer , Sponsored Products and Brands

Software Engineer I / II - New York

Software Engineer, AI Native