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applied ai engineer

Eagle

<div>About Eagle
We&rsquo;re on a mission to radically transform the way we design and construct our built environment.
Backed by Lightspeed Venture Partners, Eagle acquires and transforms civil, structural, and MEP engineering firms with applied AI. We&rsquo;re an AI laboratory dedicated to providing engineers with the tools they need to solve the world&rsquo;s hardest infrastructure, energy, and climate problems.
By arming designers with frontier technology, our ambition is to build the most valuable, talent-dense engineering firm in the United States.
The opportunity
Our core thesis: 85% of what engineers do today is theoretically automatable, yet less than 5% has actually been touched by AI. That gap is the largest of any profession. Our plan is to close it by acquiring engineering firms, building purpose-built tools for their staff, and compounding that proprietary intelligence across acquisitions.
As an Applied AI Engineer, you'll work directly with the founders and staff at engineering firms to ship the initial iterations of our operating system that will power this transformation. You'll own outcomes at the edge and get a front-row seat to building a company from zero&mdash;engaging with architecture decisions, firm acquisitions, and product strategy&mdash;on a problem domain that's barely been touched by AI.
What you'll do<ul><li>
Embed with staff at engineering firms alongside the founders; then come back and build against what you saw</li><li>
Own problems end-to-end from problem discovery to deployment to debugging in prod</li><li>
Collaborate directly with the CTO on engineering culture, technical direction, and what we&rsquo;ll build next</li></ul>
What we look for<ul><li>
Has a deep curiosity for how things work (e.g., an organization, a workflow, a market)</li><li>
Isn&rsquo;t afraid to expose their ignorance and is constantly asking why</li><li>
Has the poise and communication skills to earn trust with people who've never worked with a tech company before</li><li>
Can sit with noisy, conflicting feedback from users and distill it into a clear opinion about what to build</li><li>
Is willing to get on a plane with us</li><li>
Has experience or interest in LLMs, Agent Frameworks, RAG, browser automation, or doc parsing</li><li>
Is not above any task: Up to write the web scraper, help users leverage off-the-shelf tools, or build the plugin for Windows native AEC software</li></ul>
Compensation<ul><li>
Competitive cash compensation ($150K&ndash;$300K depending on experience)</li><li>
Meaningful early-stage equity</li><li>
Full healthcare benefits</li><li>
In-person office in NYC with team meals</li></ul></div>

Applied AI Engineer

Tessera Labs

<div>
 About Tessera Labs Tessera Labs is redefining how enterprises adopt and operationalize Artificial Intelligence. Backed by Foundation Capital and led by a world-class founding team, we build multi-agent AI systems that can automate complex business workflows across platforms like SAP, Salesforce, Workday, Snowflake, MuleSoft, and more. Our mission: Bring real AI automation to the enterprise &mdash; with speed, precision, and measurable impact. We move fast, operate with extreme ownership, and build at the frontier of applied AI.
 
 
 
 Job Summary
 
 
 
 We are looking for a Frontend Engineer who thrives in a fast-paced, high-ownership startup environment. This is a hands-on role for a self-starter who can take ownership of the user experience from concept to deployment, iterate quickly based on feedback, and optimize for speed, usability, and performance. You will design and build sophisticated UI components, interactive dashboards, and data visualizations that directly impact end users.
 
 
 If you love solving challenging UI problems, shipping polished interfaces at startup speed, and working in a collaborative, low-ego environment, this role is for you.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Rapid Feature Development &amp; Deployment
 </li>
 <li>
 Build sophisticated data visualization interfaces, workflow management UIs, and real-time dashboards.
 </li>
 <li>
 Design and maintain scalable component libraries with consistent design patterns.
 </li>
 <li>
 Implement complex client-side state with optimistic updates and real-time synchronization.
 </li>
 <li>
 Create intuitive UIs for AI model interactions, data pipeline management, and enterprise system integrations.
 </li>
 <li>
 Optimize for speed, usability, and performance without compromising quality.
 </li>
 <li>
 Performance Optimization &amp; Scalability
 </li>
 <li>
 Continuously identify and fix performance bottlenecks in frontend systems.
 </li>
 <li>
 Startup Mindset: Autonomy &amp; Execution Speed
 </li>
 <li>
 Take initiative&mdash;identify problems and build solutions without waiting for direction.
 </li>
 <li>
 Make trade-offs between speed and long-term maintainability based on business needs.
 </li>
 <li>
 Work in a high-ownership environment, making architectural and UI design decisions as needed.
 </li>
 <li>
 Quickly adapt to changing priorities, tight deadlines, and startup pivots.
 
 
 </li>
 </ul>
 
 Required Qualifications
 
 
 
 <ul>
 <li>
 3&ndash;5 years of Frontend development with advanced patterns (custom hooks, complex state management, performance optimization, client/server-side separation).
 </li>
 <li>
 Expertise in TypeScript (complex generics, utility types, strict typing in production applications).
 </li>
 <li>
 Strong experience with the modern React ecosystem (SSR -- TanStack Start, NextJS, data fetching and global state management libraries).
 </li>
 <li>
 Proven track record in enterprise UI development (component libraries, design systems, accessibility standards).
 </li>
 <li>
 Performance optimization skills (memoization strategies, render optimization, virtualization).
 </li>
 <li>
 Strong problem-solving skills and ability to execute quickly with minimal guidance.
 </li>
 <li>
 Experience working in agile, fast-paced startup teams.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience with data visualization (charts, graphs, interactive dashboards).
 </li>
 <li>
 Real-time UI patterns (WebSocket integration, live updates, optimistic UI).
 </li>
 <li>
 Enterprise authentication (SSO, role-based access control, session management).
 </li>
 <li>
 Experience integrating AI/ML models into production applications.
 </li>
 <li>
 Familiarity with building developer-facing tools (code editor integrations, syntax highlighting, diff viewers).
 
 
 </li>
 </ul>
 No third party may recruit, solicit candidates, publish job opportunities, use Tessera Labs&rsquo; name or branding, or represent that they are acting on behalf of Tessera Labs without prior written authorization. Any such activity conducted without explicit written consent is strictly prohibited.
 
 
 Compensation Range: $200K - $250K
 
 
</div>

Software Engineer, Frontend

Millennium Management

<div>Full Stack Engineer - Portfolio Team
Our hedge fund is looking for a talented engineer to work across the stack to build a platform for one of Millennium's portfolio management teams. Projects will have a substantial impact on trading and analytics tooling with the expectation to expand ambition and scope over time.
The successful candidate will combine strong technical skills, a passion for creative problem solving, and an intense curiosity. The group is looking for a versatile strong Python coder whose main responsibility will be to develop the platform for the portfolio management team within the firm. This is an ideal opportunity for a strong engineer that is looking to work within a trading team.
Principal Responsibilities<ul><li>
Rapid development and release of applications: process automation, intelligent alerts, interactive visualizations, and portfolio analysis tooling</li><li>
Develop and enhance the existing platform for quantitative and portfolio manager team members</li><li>
Work on building out the Python codebase using the FastAPI, Flask, or other web frameworks</li><li>
Oversee the entire full stack development of the platform</li><li>
Integrate market data APIs from vendors and Millennium&rsquo;s own database and transform the data for the team&rsquo;s non-relational database</li><li>
Collaborate with team on best practices and overall business strategy</li></ul>
Qualifications/Skills Required<ul><li>
Bachelor&rsquo;s degree in Computer Science, Engineering, Mathematics, Physics, or a related quantitative discipline</li><li>
4+ years of professional software or quant engineering experience</li><li>
Strong applied knowledge of web base application development using React and/or Angular</li><li>
Strong programming skills in Python both in web application development and data engineering/science tooling such as Numpy, Pandas, and/or PyTorch</li><li>
Experience AI forward deployments agent orchestration frameworks &amp; MCP</li><li>
Strong SQL experience preferred for the pricing model's performance</li><li>
Experience using agentic coding workflows using Cursor, Claude code, etc.</li><li>
Experience with developing dashboards and other data visualization applications with Plotly, Matplotlib, Bokeh, Dash, etc.</li><li>
Experience using AWS technologies such as S3, Athena, SQS, Batch, Lambda</li><li>
Experience with Linux is a plus</li><li>
Extremely organized and a self-starter with effective multitasking and prioritization skills</li><li>
Highly motivated, willing to take ownership of work, drive to solve problems and work effective under pressure</li><li>
Excellent written and verbal communication skills, willing to proactively engage other team members in fostering a strong collaborative team-oriented environment</li><li>
Good team player with a strong willingness to participate and help others.</li><li>
Able to prioritize in a fast moving, high pressure, constantly changing environment; High sense of urgency</li></ul><div><div><div><div><div><div>
Millennium offers a total compensation package which includes a base salary, discretionary performance bonus, and comprehensive benefits. The estimated base salary range for this position is $150,000 to $200,000, which is specific to New York and may change in the future. When finalizing an offer, we take into consideration an individual&rsquo;s experience level and the qualifications they bring to the role to formulate a competitive total compensation package.</div></div></div></div></div></div></div>

Full Stack Engineer - Portfolio Team

ALICE + OLIVIA

<div>
 
 Location: New York, NY or Secaucus, NJ (Hybrid)
 
 
 Decision Science Engineer (Applied Data Scientist)
 
 
 
 
 
 
 POSITION SUMMARY:
 
 
 
 ALICE + OLIVIA is hiring a Decision Science Engineer to build, operationalize, and own predictive models that improve decision making across Planning, Merchandising/Buying, Customer 360, and Inventory Management. Working primarily within Palantir Foundry as the core analytics and deployment platform, this role bridges data science and platform engineering, translating real-world commercial constraints including seasonality, product lifecycle, allocations, replenishment, promotions/markdowns, and customer behavior into practical, production-grade, human-in-the-loop models.
 
 
 
 
 
 This is a highly cross-functional role with direct, ongoing exposure to business stakeholders and end users, from planners and buyers who consume and act on model outputs, to the teams working within Foundry Workshop applications day-to-day. Understanding how outputs are used in real workflows, and staying close to the people using them, is central to how this role operates. Sitting within the IT organization and serving the full business including DTC, wholesale, planning, and supply chain, this position carries direct visibility to executive business stakeholders. This role is focused on applied data science, decision-support modeling, and model operationalization, not reporting or core data engineering, while partnering closely with Engineering, BI, and the broader Enterprise Applications team.
 
 
 
 
 
 
 RESPONSIBILITIES:
 
 
 <ul>
 <li>
 Design, build, and maintain predictive and statistical models supporting retail planning, buying, inventory, and demand forecasting.
 </li>
 <li>
 Operationalize models within Palantir Foundry using Code Workbook and Code Repository, working against Snowflake as the primary data source and ensuring outputs are production-grade and maintainable.
 </li>
 <li>
 Own and evolve analytics logic and assumptions embedded in planning and buying workflows.
 </li>
 <li>
 Partner with Planning, Buying, Merchandising, and DTC teams to translate business needs into model-driven insights, maintaining direct, ongoing relationships with the stakeholders and end users consuming model outputs.
 </li>
 <li>
 Collaborate with the Enterprise Applications team on Workshop app development to ensure model outputs are surfaced effectively in business-facing Foundry applications.
 </li>
 <li>
 Build models for customer segmentation, CLV, retention/churn, propensity, and campaign targeting (Customer 360).
 </li>
 <li>
 Collaborate with Engineering, who owns data pipelines and Snowflake ingestion, to ensure model inputs are reliable, well-governed, and fit for purpose without owning the underlying data infrastructure.
 </li>
 <li>
 Support human-in-the-loop workflows where planners and buyers can interrogate, override, or adjust model outputs in real time.
 </li>
 <li>
 Validate model outputs against business reality and historical performance, closing the loop directly with end users on model accuracy and relevance.
 </li>
 <li>
 Document methodologies and assumptions to support long-term ownership and institutional knowledge.
 </li>
 </ul>
 
 
 
 
 
 QUALIFICATIONS:
 
 
 <ul>
 <li>
 4 to 8+ years of experience in data science, applied analytics, or predictive modeling.
 </li>
 <li>
 Strong experience building predictive or statistical models including forecasting, optimization, regression, and classification.
 </li>
 <li>
 Proficiency in Python for data analysis, modeling, and production-grade code.
 </li>
 <li>
 Strong SQL and hands-on experience with Snowflake or equivalent cloud data warehouse.
 </li>
 <li>
 Experience with Palantir Foundry strongly preferred, including familiarity with the Foundry Ontology layer, analytics and modeling tooling (Code Workbook, Code Repository), and how model outputs are surfaced through business-facing applications. Candidates who can reason within and contribute to an existing Ontology, and who understand how the semantic data layer connects to model design, will be prioritized.
 </li>
 <li>
 Familiarity with experiment design and causal inference.
 </li>
 <li>
 Experience with time-series forecasting at scale.
 </li>
 <li>
 Retail domain experience strongly preferred, including familiarity with demand vs net sales, sell-through, markdowns, planning vs buying workflows, seasons, price groups, and store vs e-commerce dynamics.
 </li>
 <li>
 Experience working with messy, real-world data and designing models that support business judgment.
 </li>
 <li>
 Ability to reason about semantic or ontology-based data models.
 </li>
 <li>
 Strong communication and relationship skills, comfortable working directly with planners, buyers, and business stakeholders, and able to translate model outputs into decisions, not just insights.
 </li>
 <li>
 Long-term ownership mindset for maintaining and evolving models over time.
 </li>
 <li>
 Hands-on experience building or contributing to Palantir Foundry Workshop applications.
 </li>
 <li>
 Background in wholesale or multi-channel retail, including familiarity with the operational differences between DTC, wholesale, and brick-and-mortar planning cycles.
 </li>
 <li>
 Exposure to agent-based or AI-assisted analytics workflows.
 </li>
 <li>
 Experience working within a formal data governance or steerco-driven prioritization structure.
 </li>
 <li>
 Familiarity with Snowflake-native development patterns including dbt, Snowpark, or similar.
 </li>
 </ul>
 
 
 
 
 
 ADDITIONAL INFORMATION:
 
 
 
 This role sits within the IT organization, reporting to the VP of Information Technology, and operates across the full business including Planning, Merchandising/Buying, DTC, and Supply Chain. Engineering owns ETL, data pipelines, and Snowflake ingestion. BI owns reporting and dashboards. This role owns predictive modeling, decision-support analytics, and model operationalization within Palantir Foundry. Work is prioritized through a cross-functional steering committee with direct business stakeholder representation, ensuring this role has structured visibility into commercial priorities and executive-level exposure from day one.
 
 
 
 
 
 ALICE + OLIVIA is at an inflection point in how it uses data to make decisions. This role is central to that transformation, building the analytics capability that connects our Palantir Foundry investment to real commercial outcomes across every part of the business. This is not a role that maintains existing infrastructure or produces reports. It is a greenfield opportunity to own a strategic function, work directly with the teams making decisions, and build something that compounds in value over time. For the right person, it is a rare combination of technical depth, business proximity, and organizational support.
 
 
 
 
 
 $150,000 -175,000 base salary (This range represents the low and high end of the anticipated base salary range for this NY OR NJ - based position. The base salary will depend on numerous factors such as: experience and qualifications for the role, experience level, skillset, and balancing internal equity relative to other A+O employees.)
 
</div>

Data Scientist

Neara

<div>
 Imagine having the power to stress-test an entire power grid against a hurricane or thunderstorm before the clouds even gather. That is the reality we are creating at Neara.
 
 
 We use advanced machine learning to create engineering-grade, physics enabled digital twins of electricity grids across four continents, this helps asset owners understand their biggest challenges and bring the most viable solutions to life across millions of kilometres of infrastructure.
 
 
 By simulating extreme weather and structural stress at a network-wide scale, we empower the world&rsquo;s largest utilities to pinpoint risks, optimise investments and build a more resilient global energy future.
 
 
 Our team is a collection of brilliant minds who are fanatical about making a tangible difference in the real world, utilising AI and machine learning to accelerate everything from data classification to complex scenario analysis. We have built a special culture where innovation thrives because everyone owns the mission and we need smart, creative people to help us scale this impact to every corner of the globe.
 
 
 
 Data Scientist
 
 
 
 As a Data Scientist, you will analyze a rich array of real-world data to inform our digital twin model of the electric grid, including topography, LIDAR, imagery, vegetation, structural loading, and electrical connectivity. Your work will drive product direction with high visibility, highlight grid expansion opportunities, identify aging and risky infrastructure, and help our customers understand where to build and invest. Working alongside ML Engineers and product-facing engineering teams, your ideas will ultimately take shape as new product features that expand what Neara is capable of doing, and as new infrastructure buildouts for the energy grid itself.
 
 
 
 What You Will Do
 
 
 
 <ul>
 <li>
 Model accurate digital twin electric networks from imperfect data using AI, deep learning, and classical ML algorithms.
 </li>
 <li>
 Surface meaningful analytics and metrics such as wildfire risk that help guide customer buildout of electrical infrastructure.
 </li>
 <li>
 Advise the company on what our data says and use that understanding to inform Neara&rsquo;s strategy.
 </li>
 <li>
 Conduct experiments and A/B tests to improve our modeling of the grid.
 </li>
 <li>
 QA and improve our predictive models; identify data issues such as distribution drift, overfitting, or test set leakage.
 </li>
 <li>
 Craft scalable data pipelines to work with a variety of data sources, including LiDAR, aerial photography, photogrammetry and GIS.
 </li>
 <li>
 Mentor others in best practices for model training, data analytics, and building data-driven products.
 
 
 </li>
 </ul>
 
 Who You Are
 
 
 
 <ul>
 <li>
 A data scientist, ML scientist, data engineer, or similar with 3-6 years of experience at technical, data-driven companies operating in complex environments. Geospatial data or power grid experience are a plus.
 </li>
 <li>
 You have a strong intuition for data with good communication skills and experience sharing your findings with customers and senior leaders.
 </li>
 <li>
 Demonstrated experience with AI and Machine Learning and a keen intuition for data modeling.
 </li>
 <li>
 Experience translating your models into both experiments and deployable software.
 </li>
 <li>
 Proficiency in data storage and ETL technologies, such as Parquet, Databricks, Snowflake, PostgreSQL, Spark, and DynamoDB.
 </li>
 <li>
 Comfort working in an AWS cloud environment.
 </li>
 <li>
 Excellent problem-solving skills as applied to new domains.
 </li>
 <li>
 Ability to work effectively asynchronously and cross-functionally on novel, cutting-edge problems.
 </li>
 <li>
 Ability to own problems and proactively approach challenges.
 </li>
 <li>
 Prior experience in the energy industry is a plus.
 
 
 </li>
 </ul>
 
 What We Offer
 
 
 
 <ul>
 <li>
 Work with a sophisticated, multi-modal data stack, including LiDAR, satellite imagery, and physics-enabled digital twins, to solve high-stakes engineering problems that most data scientists only see in theory.
 </li>
 <li>
 Your models will directly prevent wildfires and mitigate disaster risks across millions of kilometers of infrastructure, moving beyond "digital metrics" to harden the real-world energy grid.
 </li>
 <li>
 You won't just build models; you&rsquo;ll advise the company on data strategy and see your experiments evolve into core product features that dictate how the world&rsquo;s largest utilities invest.
 </li>
 <li>
 We offer a highly competitive compensation package with a significant equity component, ensuring you are a true stakeholder in our mission and benefit directly from the company&rsquo;s rapid global scale.
 
 
 </li>
 </ul>
 Compensation Range: $160K - $190K
</div>

DataAnnotation

<div>
 We are looking for an Editorial Proofreader to join our team to train AI models. You will measure the progress of these AI chatbots, evaluate their logic, and solve problems to improve the quality of each model.
 
 
 In this role you will need to hold an expert level of expertise in writing, editing, and language use. Other related fields include, but are not limited to: applied skills in research and fact-checking.
 
 
 
 Benefits
 
 
 
 <ul>
 <li>
 This is a full-time or part-time REMOTE position
 </li>
 <li>
 You&rsquo;ll be able to choose which projects you want to work on
 </li>
 <li>
 You can work on your own schedule
 </li>
 <li>
 Projects are paid hourly starting at $25-$30+/hr, with bonuses on high-quality and high-volume work
 
 
 </li>
 </ul>
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Give AI chatbots complex tasks and evaluate their outputs
 </li>
 <li>
 Evaluate the quality produced by AI models for correctness and performance
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Fluency in English (native or bilingual level)
 </li>
 <li>
 Detail-oriented
 </li>
 <li>
 Excellent command of grammar, style, and brand voice
 </li>
 <li>
 A current, in progress, or completed Bachelor&rsquo;s degree is preferred but not required
 
 
 </li>
 </ul>
 
 Notes
 
 
 
 Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. Only applicants in the United States will be considered for this role. This is an independent contract position.
 
 
 #generalist
</div>

Editorial Proofreader

<div>
 We are looking for an advanced mathematician to join our team to train AI models. You will measure the progress of these AI chatbots, evaluate their logic, and solve problems to improve the quality of each model.
 
 
 In this role you will need to hold an expert level of mathematical reasoning. Other related fields include, but are not limited to: Applied Mathematics and/or Computer Science.
 
 
 
 Benefits
 
 
 
 <ul>
 <li>
 This is a full-time or part-time REMOTE position
 </li>
 <li>
 You&rsquo;ll be able to choose which projects you want to work on
 </li>
 <li>
 You can work on your own schedule
 </li>
 <li>
 Projects are paid hourly starting at $40+ USD per hour, with bonuses on high-quality and high-volume work
 
 
 </li>
 </ul>
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Give AI chatbots writing and editing tasks and evaluate their outputs
 </li>
 <li>
 Evaluate the quality produced by AI models for correctness and performance
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Fluency in English (native or bilingual level)
 </li>
 <li>
 Detail-oriented
 </li>
 <li>
 Proficient in arithmetic, algebra, geometry, calculus, probability, statistics, and inductive/deductive reasoning
 </li>
 <li>
 A current, in progress, or completed Master&rsquo;s or PhD is preferred but not required
 
 
 </li>
 </ul>
 
 Notes
 
 
 
 Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. Only applicants in the United States will be considered for this role. This is an independent contract position.
 
 
 #math
</div>

AI Training, Mathematics

Explore 115+ Applied ai engineer in New York this June. Find roles across top companies and apply now to boost your career.

115 applied ai engineer jobs In New York

Applied AI Engineer

Software Engineer, Frontend

Full Stack Engineer - Portfolio Team

Data Scientist

Data Scientist

Editorial Proofreader

AI Training, Mathematics