applied ai enginner

Sony

<div><p>Sony AI America, a branch of Sony AI, is a remotely distributed organization spread across the U.S. and Canada. Sony AI is Sony&rsquo;s new research organization pursuing the mission to use AI to unleash human creativity. Sony AI works closely with Sony&rsquo;s other business units, including Sony Interactive Entertainment LLC., Sony Pictures Entertainment Inc., and Sony Music Entertainment. With some 900 million Sony devices in hands and homes worldwide today, a vast array of Sony movies, television shows and music, and the PlayStation Network, Sony creates and delivers more entertainment experiences to more people than anyone else on earth. To learn more: https://ai.sony/
</p><div><div><p><b>Position Summary
</b></p></div><div><p>Sony AI is seeking research interns who are passionate about ML-based technologies that are useful in movie , game , and music creation, as well as technologies for the ethical operations of generative AIs. Our mission is to research and develop technologies for various Sony Group products and for scientific publication. The technologies developed during the internship will have the potential to be applied in film, game , and music production across entertainment studios worldwide.<br>
</p></div><p></p><div><p><b>Responsibilities
</b></p></div><div><p>As a research intern, you will investigate and apply novel algorithms related to:
</p></div><div><p>The generation and editing of video, sound, and 3D visual geometry (including 3D human motion).
</p></div><div><p>The analysis and alleviation of ethical flaws in generative models, including techniques for memorization detection and mitigation, concept erasure, and data attribution.
</p></div><div><p>Your goal will be to publish your findings in a top-tier conference. You are expected to be self-motivated and to implement innovative ideas using your research, coding, and problem-solving skills. You will receive support from internal scientists and engineers in your efforts.<br>
</p></div><p></p><div><p><b>Required Qualifications
</b></p></div><div><ul><li><p>Master&rsquo;s degree in Computer Science , Electrical Engineering, Applied Mathematics, or related fields.
</p></li></ul></div><div><ul><li><p>Proven knowledge and expertise in generative AI applications, including deep generative modeling, computer vision, and audio signal processing.
</p></li></ul></div><div><ul><li><p>Strong analytical and programming skills in deep learning using frameworks and tools for machine learning (e.g., PyTorch ) and visualization (e.g., TensorBoard ).
</p></li></ul></div><div><ul><li><p>Experience in research communities, including published papers at top-tier conferences such as CVPR, ICCV, ECCV, NeurIPS , ICLR, and ICML.
</p></li></ul></div><div><ul><li><p>Excellent communication and presentation skills.<br>
</p></li></ul></div><p></p><div><p><b>Preferred Qualifications
</b></p></div><div><ul><li><p>Currently enrolled in a relevant Ph.D. program in fields such as Computer Science, Electrical Engineering, Applied Mathematics, or related disciplines.<br>
</p></li></ul></div></div><p></p><div><p><b>Working Location
</b></p></div><div><p>Location flexible (Tokyo, NYC, remote)
</p><p></p><div><p><i>The target hourly rate for this internship is $50.00 </i><i>per hour. The individual will be paid hourly and eligible for overtime </i><i>.
</i></p><p></p><p>#LI-AS1
</p></div></div><p>All qualified applicants will receive consideration for employment without regard to any basis protected by applicable federal, state, or local law, ordinance, or regulation.
</p><p></p><p>Disability Accommodation for Applicants to Sony Corporation of America Sony Corporation of America provides reasonable accommodation for qualified individuals with disabilities and disabled veterans in job application procedures. For reasonable accommodation requests, please contact us by email at careers@sonyusa.com or by mail to: Sony Corporation of America, People Experience Department, 25 Madison Avenue, New York, NY 10010. Please indicate the position you are applying for.
</p><p></p><p>We are aware that unauthorized individuals or organizations may attempt to solicit personal information or payments from job applicants by impersonating our company through fraudulent job postings. We take these matters seriously but cannot control third-party websites. To protect your personal information, please verify that any job posting you respond to also appears on our official Careers page: www.sonyjobs.com . Please also be advised that we never request personal identifying information (such as Social Security numbers, bank details, or copies of identification documents) during the initial stages of our application process. If you have any doubts about the authenticity of a job posting or communication, please contact careers@sonyusa.com before submitting any information.
</p><p></p><p>Right to Work (English/Spanish)
</p><p>E-Verify Participation (English/Spanish)</p></div><p></p>

Research Intern on Generative and Protective AI for Content Creation

Fusemachines

<div>
 <strong>
  About Fusemachines
  <br/>
  <br/>
 </strong>
 Founded in 2013, Fusemachines is a global provider of enterprise AI products and services, on a mission to democratize AI. Leveraging proprietary AI Studio and AI Engines, the company helps drive the clients&rsquo; AI Enterprise Transformation, regardless of where they are in their Digital AI journeys. With offices in North America, Asia, and Latin America, Fusemachines provides a suite of enterprise AI offerings and specialty services that allow organizations of any size to implement and scale AI. Fusemachines serves companies in industries such as retail, manufacturing, and government.
 <br/>
 <br/>
 Fusemachines continues to actively pursue the mission of democratizing AI for the masses by providing high-quality AI education in underserved communities and helping organizations achieve their full potential with AI.
 <br/>
 <br/>
 <strong>
  Type: Full-time, Remote
  <br/>
  <br/>
 </strong>
 <strong>
  Role Overview
  <br/>
  <br/>
 </strong>
 We&rsquo;re hiring a mid-to-senior Machine Learning Engineer / Data Scientist to build and deploy machine learning solutions that drive measurable business impact. You&rsquo;ll work across the ML lifecycle&mdash;from problem framing and data exploration to model development, evaluation, deployment, and monitoring&mdash;often in partnership with client stakeholders and internal delivery teams.
 <br/>
 <br/>
 You should be strong in core data science and applied machine learning, comfortable working with real-world data, and capable of turning modeling work into production-ready systems.
 <br/>
 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Problem Framing &amp; Stakeholder Partnership
  </li>
  <ul>
   <li>
    Translate business questions into ML problem statements (classification, regression, time series forecasting, clustering, anomaly detection, recommendation, etc.)
   </li>
   <li>
    Collaborate with stakeholders to define success metrics, evaluation plans, and practical constraints (latency, interpretability, cost, data availability)
   </li>
  </ul>
  <li>
   Data Analysis &amp; Feature Engineering
  </li>
  <ul>
   <li>
    Use SQL and Python to extract, join, and analyze data from relational databases and data warehouses
   </li>
   <li>
    Perform data profiling, missingness analysis, leakage checks, and exploratory analysis to guide modeling choices
   </li>
   <li>
    Build robust feature pipelines (aggregation, encoding, scaling, embeddings where appropriate) and document assumptions
   </li>
  </ul>
  <li>
   Model Development (Core ML)
  </li>
  <ul>
   <li>
    Train and tune supervised learning models for tabular data (e.g., logistic/linear models, tree-based methods, gradient boosting such as XGBoost/LightGBM/CatBoost, and neural nets for structured data)
   </li>
   <li>
    Apply strong tabular modeling practices: handling missing data, categorical encoding, leakage prevention, class imbalance strategies, calibration, and robust cross-validation
   </li>
   <li>
    Build time series models (statistical and ML/DL approaches) and validate with proper backtesting
   </li>
   <li>
    Apply clustering and segmentation techniques (k-means, hierarchical, DBSCAN, Gaussian mixtures) and evaluate stability and usefulness
   </li>
   <li>
    Apply statistics in practice (hypothesis testing, confidence intervals, sampling, experiment design) to support inference and decision-making
   </li>
  </ul>
  <li>
   Deep Learning
  </li>
  <ul>
   <li>
    Build and train deep learning models using PyTorch or TensorFlow/Keras
   </li>
   <li>
    Use best practices for training (regularization, calibration, class imbalance handling, reproducibility, sound train/val/test design)
   </li>
  </ul>
  <li>
   Evaluation, Explainability, and Iteration
  </li>
  <ul>
   <li>
    Choose appropriate metrics (AUC/F1/PR, RMSE/MAE/MAPE, calibration, lift, and business KPIs) and create evaluation reports
   </li>
   <li>
    Perform error analysis and interpretation (feature importance/SHAP, cohort slicing) and iterate based on evidence
   </li>
  </ul>
  <li>
   Productionization &amp; MLOps (Project-Dependent)
  </li>
  <ul>
   <li>
    Package models for deployment (batch scoring pipelines or real-time APIs) and collaborate with engineers on integration
   </li>
   <li>
    Implement practical MLOps: versioning, reproducible training, automated evaluation, monitoring for drift/performance, and retraining plans
   </li>
  </ul>
  <li>
   Documentation &amp; Communication
  </li>
  <ul>
   <li>
    Communicate tradeoffs and recommendations clearly to technical and non-technical stakeholders
   </li>
   <li>
    Create documentation and lightweight demos that make results actionable
    <br/>
   </li>
  </ul>
 </ul>
 Success in This Role Looks Like
 <br/>
 <br/>
 <ul>
  <li>
   You deliver models that perform well and move business metrics (revenue lift, cost reduction, risk reduction, improved forecast accuracy, operational efficiency)
  </li>
  <li>
   Your work is reproducible and production-aware: clear data lineage, robust evaluation, and a credible path to deployment/monitoring
  </li>
  <li>
   Stakeholders trust your judgment in selecting methods and communicating uncertainty honestly
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Required Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   3&ndash;8 years of experience in data science, machine learning engineering, or applied ML (mid-to-senior)
  </li>
  <li>
   Strong Python skills for data analysis and modeling (pandas/numpy/scikit-learn or equivalent)
  </li>
  <li>
   Strong SQL skills (joins, window functions, aggregation, performance awareness)
  </li>
  <li>
   Solid foundation in statistics (hypothesis testing, uncertainty, bias/variance, sampling) and practical experimentation mindset
  </li>
  <li>
   Hands-on experience across multiple model types, including:
  </li>
  <ul>
   <li>
    Classification &amp; regression
   </li>
   <li>
    Time series forecasting
   </li>
   <li>
    Clustering/segmentation
   </li>
  </ul>
  <li>
   Experience with deep learning in PyTorch or TensorFlow/Keras
  </li>
  <li>
   Strong problem-solving skills: ability to work with ambiguous goals and messy data
  </li>
  <li>
   Clear communication skills and ability to translate analysis into decisions
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience with Databricks for applied ML (e.g., Spark, Delta Lake, MLflow, Databricks Jobs/Workflows)
  </li>
  <li>
   Experience deploying models to production (APIs, batch pipelines) and maintaining them over time (monitoring, retraining)
  </li>
  <li>
   Experience with orchestration tools (Airflow, Prefect, Dagster) and modern data stacks (Snowflake/BigQuery/Redshift/Databricks)
  </li>
  <li>
   Experience with cloud platforms (AWS/GCP/Azure/IBM) and containerization (Docker)
  </li>
  <li>
   Experience with responsible AI and governance best practices (privacy/PII handling, auditability, access controls)
  </li>
  <li>
   Consulting or client-facing delivery experience
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Certifications (Strong Plus)
  <br/>
  <br/>
 </strong>
 Candidates with at least one relevant certification are especially encouraged to apply:
 <br/>
 <br/>
 <ul>
  <li>
   Cloud certifications: AWS, Google Cloud, Microsoft Azure, or IBM (data/AI/ML tracks)
  </li>
  <li>
   Databricks certifications (Data Scientist, Data Engineer, or related)
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Nice-to-Have
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Causal inference experience (e.g., quasi-experimental methods, propensity scores, uplift/heterogeneous treatment effects, experimentation beyond A/B tests)
  </li>
  <li>
   Agentic development experience: designing and evaluating agentic workflows (tool use, planning, memory/state, guardrails) and integrating them into products
  </li>
  <li>
   Deep familiarity with agentic coding tools and workflows for accelerated product development (e.g., AI-assisted IDEs, code agents, automated testing/refactoring, repo-aware assistants), including strong judgment on quality, security, and maintainability
   <br/>
   <br/>
  </li>
 </ul>
 <em>
  <em>
   Fusemachines is an Equal Opportunities Employer, committed to diversity and inclusion. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or any other characteristic protected by applicable federal, state, or local laws.
   <br/>
   <br/>
  </em>
 </em>
 Important: Immigration Sponsorship Policy
 <br/>
 <br/>
 Fusemachines is unable to proceed with candidates who require any form of work authorization or immigration support from the company. This restriction applies to all types of support, including:
 <br/>
 <br/>
 <ul>
  <li>
   Direct Company Sponsorship: Such as H-1B, J-1, or TN visas
  </li>
  <li>
   Employer of Record: Listing Fusemachines as the immigration employer on any government documentation
  </li>
  <li>
   Written Documentation: Providing letters or other support for any work authorization (e.g., OPT, STEM OPT, CPT)
   <br/>
   <br/>
  </li>
 </ul>
 Powered by JazzHR
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 <br/>
 qUN1H2divA
</div>


Machine Learning Engineer / Data Scientist

Traba

<div><p>Traba is the AI operating layer for the industrial supply chain.</p><div></div><p><br>
We started in workforce&mdash;temp staffing, the biggest operational pain point for the manufacturing and logistics customers we serve&mdash;and used it to embed ourselves inside their daily operations and create a far better customer experience through technology.</p><div></div><p><br>
Now those same customers are pulling us beyond staffing into the broader operational workflows that run their facilities. That foundation gave us proprietary data from millions of shifts and deep enterprise relationships.</p><div></div><p><br>
But our edge is more than data: by connecting to the systems running across every facility and activating the workers already on our platform to execute against them, we are building applied AI that drives real productivity gains and transforms how the global supply chain operates at scale.<br>
<br>
We are backed by Founders Fund, Khosla Ventures, and General Catalyst.</p><div></div><p><b><br>
You'll build the AI agents themselves&mdash;the harnesses, evals, orchestration, and model strategy the rest of Traba's product runs on.</b> We're seeking an entrepreneurial AI Agent Engineer to join as a founding member of the Agents team and build the next layer of Traba's product&mdash;an agentic platform that synthesizes the data flowing through our marketplace and operates autonomously inside our customers' supply chain workflows. (Our Applied AI team puts these agents to work across the product; you own the agents and infrastructure they depend on.) You'll embed deeply in our customers' operations, design and ship production agent harnesses on top of frontier models, and turn what you learn in the field into durable product. You will partner closely with our CTO, product, and our operators to take 0-to-1 ideas to scaled deployments.</p><div><br>
</div><h2 class="jobSectionHeader"><b>
About You</b></h2><ul><li><p><b>
Builder with an AI operator's instinct.</b> You've shipped real product on top of LLMs&mdash;not just chat wrappers. You've designed agent harnesses, structured tools, written evals, and tuned prompts against production traces. You think in capability, reliability, and unit economics&mdash;not just whether the model says the right thing.</p></li><li><p><b>
Domain-immersed.</b> You enjoy time with the people who do the work&mdash;learning an industry's vocabulary, edge cases, and operational tempo&mdash;and let that shape what you build.</p></li><li><p><b>
High-agency in ambiguity.</b> Dropped into a fuzzy customer problem with a half-formed hypothesis and a deadline, you scope, build, evaluate, and ship without waiting for a spec.</p></li><li><p><b>
Sweat both ends of the stack.</b> You move between prompt iteration, eval design, backend services, and customer-facing UI in the same week, and you care about evals that catch regressions and traces that are easy to debug.</p></li></ul><div></div><div><br>
</div><h2 class="jobSectionHeader"><b>
You Will</b></h2><ul><li><p>
Embed with customers and operators to understand how supply chains run today&mdash;then design and ship agents that take meaningful work off their plate.</p></li><li><p>
Build production agent systems on frontier LLMs: tool use, sub-agents, retrieval, structured outputs, MCP servers, and the orchestration that ties them together.</p></li><li><p>
Own evaluation as a first-class discipline&mdash;datasets from real traces, rubrics and graders, experiments, and improvements you can prove move the needle.</p></li><li><p>
Architect the data, services, and APIs the agent layer depends on&mdash;integrating our internal systems with customers' WMS, TMS, and ERP environments.</p></li><li><p>
Codify repeatable deployment patterns so each new customer rollout is faster than the last.</p></li></ul><div></div><div><br>
</div><h2 class="jobSectionHeader"><b>
You Have</b></h2><ul><li><p>
1+ years of software engineering experience, with a track record of shipping LLM- or agent-based features to production.</p></li><li><p>
Strong in Python and/or TypeScript/Node.js, and comfortable designing APIs, distributed systems, and data models in PostgreSQL.</p></li><li><p>
Hands-on with the modern agent stack: production-scale prompt engineering, evaluation frameworks, orchestration patterns, and frontier model APIs.</p></li><li><p>
A track record of building in fast, ambiguous environments&mdash;ideally at a vertical AI, AI-agent, forward-deployed, or data-product company.</p></li><li><p>
Excellent written and verbal communication&mdash;you can run a customer workshop in the morning and write a clean design doc in the afternoon.</p></li></ul><div></div><div><br>
</div><h2 class="jobSectionHeader"><b>
Benefits</b></h2><ul><li><p>
Start-up equity</p></li><li><p>
Competitive Salary</p></li><li><p>
100% Paid health, dental &amp; vision coverage</p></li><li><p>
Dinner Provided via DoorDash, free DashPass &amp; stocked kitchen for NY employees</p></li><li><p>
Commuter benefit</p></li><li><p>
Gympass Benefit</p></li><li><p>
✚✚ Additional: One Medical Membership, Gympass, HSA via Optum, Talkspace, HealthAdvocate, Teledoc Health</p></li></ul><div><br>
</div><h2 class="jobSectionHeader"><b>
Salary Range Details</b></h2><p>
The compensation range for this position is set between $140,000 and $200,000, reflecting our market analysis and other relevant considerations. However, exceptions may be made for candidates with qualifications that significantly differ from those outlined in the job description.</p><div><br>
</div><h2 class="jobSectionHeader"><b>
Equal Opportunity Employer</b></h2><p>
Traba is dedicated to promoting Equal Opportunity employment practices. We evaluate all applicants without discrimination based on race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other characteristics that are legally protected by local, state, or federal regulations. We encourage applicants from a variety of backgrounds, experiences, and skill sets.</p><div><br>
</div><h2 class="jobSectionHeader"><b>
Our Values</b></h2><p><b>
Dream Big -</b> We are on a path to change the world for the better. We create and communicate a bold direction that inspires a life-changing vision. We don&rsquo;t sacrifice long-term value for short-term results.</p><p><b>
Olympian&rsquo;s Work Ethic -</b> Changing the world never comes easy. We work harder, longer, and smarter, not just two out of three. We put everything we have on the field.</p><p><b>
Growth Mindset -</b> We confront the toughest challenges head-on and persevere. Sometimes we fail, but we brush ourselves off, adapt, learn, and push forward with resilience.</p><p><b>
Customer Obsession -</b> We go the extra mile for our workers and businesses. We remain focused on delivering high-quality products and services that solve this massive and overlooked industries&rsquo; problems</p><div></div><p><br>
Job Applicant Privacy Notice</p><p>
Compensation Range: $140K - $200K</p></div>

Software Engineer (AI Agents)

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through cutting-edge 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.<br>
<br>
Key job responsibilities<br>
Participate in the Science hiring process as well as mentor other scientists - improving their skills, their knowledge of your solutions, and their ability to get things done.<br>
<br>
Identify and devise new video related solutions following a customer-obsessed scientific approach to address customer or business problems when the problem is ill-defined, needs to be framed, and new methodologies or paradigms need to be invented at the product level.
<br>
<br>
Articulate potential scientific challenges of ongoing or future customers&rsquo; needs or business problems, and present interventions to address them.<br>
<br>
Independently assess alternative video related technologies, driving evaluation and adoption of those that fit best
<br>
<br>
A day in the life<br>
As an Applied Scientist on the Sponsored Brands Video team, you will work with a team of talented and experienced engineers, scientists, and designers to help bring new products to market and ensure that our customers are delighted by what we create. The Sponsored Brands Video team is responsible for the design, development, and implementation of Sponsored Brands Video experiences worldwide.<br>
<br>
About the team<br>
The Sponsored Brands Video team within Sponsored Products and Brands creates relevant and engaging video experiences, connecting advertisers and shoppers. We are on a mission to make Amazon the best in class destination for shoppers to discover, engage and build affinity with brands, making shopping delightful, &amp; personal.</p><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>3+ years of building machine learning models for business application experience</li><li>PhD, or Master's degree and 6+ years of applied research experience</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience with neural deep learning methods and machine learning</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.</li><li>Experience with large scale distributed systems such as Hadoop, Spark etc.</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
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.<p><br>
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.</p><br>
USA, WA, SEATTLE - 167,100.00 - 226,100.00 USD annually</div><p></p>

Applied Scientist III, Sponsored Products

Nebius

<div><div><p><b>About Nebius:</b></p>
<p>
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.</p>
<p>
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.</p>
<p>
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&amp;D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&amp;D.</p></div><div>
<p><b>
About Tavily</b><br>
<br>
We're building the infrastructure layer for agentic web interaction at scale. Our API is designed from the ground up to power Retrieval-Augmented Generation (RAG) and real-time reasoning in AI systems. By connecting LLMs to high-quality, trustworthy web content, we help developers build agents that are not only intelligent - but also informed.</p>
<p>
We work with some of the most innovative teams in AI - from small startups shaping the ecosystem to the largest enterprises deploying AI at scale. Whether it's powering sales assistants, research copilots, or internal knowledge tools, we're the missing link between LLMs and the real world.</p>
<p><b>
Role:</b></p>
</div>
<p>We are looking for a Senior Business Systems Engineer to own our GTM Operations systems and strategy. You will have an integral role in architecting the engine that powers Tavily's growth. You will be our first hire to this team, building a seamless, scalable GTM stack and ensuring our data architecture supports world-class execution across Sales, Marketing, and Finance.</p>
<ul>
<li>Own the end-to-end technical architecture of the GTM tech stack, ensuring seamless data flow across the entire customer lifecycle&mdash;from initial marketing lead to sales conversion and customer success renewal. We will be implementing a fresh SFDC instance which you will help create from the ground up.</li>
</ul><ul><li>Serve as the primary technical liaison for Sales, Finance, and Marketing leadership, translating complex departmental requirements into a multi-quarter technical roadmap for the Force.com platform and integrated ecosystem.</li>
</ul><ul><li>Establish and enforce rigorous engineering standards, including automated testing and security protocols to ensure the reliability and integrity of internal GTM applications.</li>
</ul>
<p><b>What We're Looking For (Must Have):</b></p>
<ul>
<li>6+ years of Force.com development experience with a deep understanding of Apex, LWC, and platform limits.</li>
</ul><ul><li>Proven track record of designing complex enterprise integrations and managing high-volume data pipelines.</li>
</ul><ul><li>BS/MS in Computer Science, Computer Engineering, or a related technical field.</li>
</ul><ul><li>Ability to navigate complex relational databases and leverage data for strategic decision-making.</li>
</ul><ul><li>Experience with Agile methodologies and managing a prioritized backlog in Jira or similar tools.</li>
</ul>
<p><b>Nice to have:</b></p>
<ul>
<li>Salesforce Certified Application or System Architect.</li>
</ul><ul><li>Deep experience with CPQ and Billing, Stripe, or Netsuite integrations.</li>
</ul><ul><li>Advanced expertise in Integration Platforms like Workato, Zapier or Mulesoft.</li>
</ul><div><p><b>
Benefits &amp; Perks:</b></p>
<ul>
<li>Competitive compensation</li>
<li>Career growth and learning opportunities</li>
<li>Flexibility and ownership</li>
<li>Collaborative and innovative culture</li>
<li>Opportunity to work on impactful AI projects</li>
<li>International environment and talented teams</li>
</ul>
<p><b>What's it like to work at Nebius:</b></p>
<p>
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI</p>
<p><b>
Equal Opportunity Statement:</b></p>
<p>
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.</p>
<p>
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.</p>
<p>
If you need accommodations during the application process, please let us know.</p></div></div>

Senior Business Systems Engineer (Agentic Search) - Tavily

Edra

<div>
 <strong>
  About Edra
  <br/>
  <br/>
 </strong>
 Edra is solving one of the hardest problems in enterprise AI: AI models are generic but company processes are specific. We build AI agents that learn how processes actually run, and then run their operations.
 <br/>
 <br/>
 We're a Series A startup, backed by Sequoia and other leading VC firms, and we're growing our team in New York and London. We're a deeply technical team of engineers, AI researchers, and strategists with a high bar for talent and a shared belief that exceptional people are the foundation of everything great we'll build.
 <br/>
 <br/>
 <strong>
  The Role
  <br/>
  <br/>
 </strong>
 We're looking for Backend Engineers who care deeply about the craft of building software: strong typing, thoughtful API design, robust data modeling, and systems that are a pleasure for other engineers to work with. You won't be building AI models, you'll be building everything around them: the platform, workflows, interfaces, integrations, and observability that make our AI useful in the real world. As an early engineer at Edra, you'll shape not just the product but the engineering culture, tooling choices, and technical foundations the company is built on.
 <br/>
 <br/>
 We work deliberately and deeply. There's no separation between "building it" and "shipping it"--you'll go from whiteboard to production and own the outcome. We'd rather build something thoughtfully than ship something fragile, and we treat velocity and quality as complementary, not competing.
 <br/>
 <br/>
 <strong>
  What You'll Do
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design and build platform systems in Python (Fast API), from API contracts to database schema and infrastructure
  </li>
  <li>
   Build and maintain connectors, integrations, and data pipelines that connect our platform to external systems
  </li>
  <li>
   Build internal libraries, tooling, and interfaces that make the rest of the engineering team more productive
  </li>
  <li>
   Own your work fully: gather context, manage dependencies, and drive tasks to completion without a product manager handing you tickets
  </li>
  <li>
   Wear multiple hats across the stack&ndash;you might design a schema in the morning, build the API layer in the afternoon, and debug a deployment issue before end of day
  </li>
  <li>
   Participate in weekly product meetings, understand how customers and forward deployed engineers use what you build, and shape what gets built next
  </li>
  <li>
   Collaborate daily with a small, high-caliber team of engineers and AI specialists
  </li>
  <li>
   Have direct influence on technical direction: choose tools, set patterns, and establish conventions the team will build on for years
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What We&rsquo;re Looking For
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   3+ years of experience in software engineering (but a computer science degree is not necessarily required)
  </li>
  <li>
   A love of writing Python and/or TypeScript to a genuinely high standard&ndash;well-modeled, well-typed, and well-documented. Strong typing feels like a superpower, not a chore
  </li>
  <li>
   Experience building libraries, SDKs, or internal tooling that made other developers' lives easier (and you&rsquo;ve enjoyed it)
  </li>
  <li>
   You light up when designing a clean database schema and take real pride in getting data models right
  </li>
  <li>
   You're at your best when you own a problem end to end &mdash; comfortable with ambiguity and energized by turning a vague problem into a well-scoped solution
  </li>
  <li>
   You're drawn to building foundational systems from scratch &mdash; greenfield work where your decisions compound over time excites you
   <br/>
   <br/>
  </li>
 </ul>
 Don't meet all of the above? We'd still love to hear from you. We're looking for exceptional people with unique skills and interests, and we know that great people have different backgrounds and skillsets. If your primary interest is building agentic systems, working with LLMs, or doing applied ML, check out our AI Engineering role&ndash;it might be a better fit.
 <br/>
 <br/>
 <strong>
  Learn More About Edra
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Watch our Series A announcement video
  </li>
  <li>
   Read our blog post from our launch
  </li>
  <li>
   Learn more about what we're building
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  A Few Details
  <br/>
  <br/>
 </strong>
 Edra is an equal opportunity employer and we encourage applications from individuals of all backgrounds. Edra does not discriminate on the basis of race, color, religion, sex, national origin, age, disability, genetic information, marital status, sexual orientation, gender identity, veteran status, or any other legally protected characteristic.
 <br/>
 <br/>
 Compensation Range: $195K - $275K
 <br/>
 <br/>
</div>


Software Engineer - Back End (New York)

Aircall

<p></p><div><div><p><div><div><div><b>New York Office</b></div><div><b>Engineering &ndash; 13008 - Data /</b></div><div><b>Permanent Full Time Employee /</b></div><div><b>Hybrid</b></div></div></div><p>
</p></p></div><div><div><div>
Aircall is a unicorn, AI-powered customer communications platform used by 22,000+ companies worldwide to drive revenue, resolve issues faster, and scale customer-facing teams. We&rsquo;re redefining customer communications by bringing voice, SMS, WhatsApp, and AI together into one seamless workspace.</div>
<div></div>
<div>Our momentum comes from a simple idea: help teams work smarter, not harder. Aircall&rsquo;s AI Voice Agent automates routine calls, AI Assist streamlines post-call work, and AI Assist Pro delivers real-time guidance so people can do their best work. The result is higher revenue, faster resolutions, and teams that scale with confidence.</div>
<div></div>
<div>Aircall is headquartered in Paris, our European HQ, with a strong North American presence anchored in Seattle, our North American HQ, and teams across Madrid, London, Berlin, San Francisco, New York City, Sydney, and Mexico City. We&rsquo;ve built a product customers love and a business that&rsquo;s scaling quickly, backed by world-class investors and driven by rapid AI innovation across multiple product lines.</div>
<div>At Aircall, you&rsquo;ll join a company in motion. We&rsquo;re ambitious, product-driven, and execution-focused, with visible impact, fast decisions, and real growth.</div>
<div></div>
<div><b>How we work at Aircall: </b>We&rsquo;re customer-obsessed, data-driven, and focused on delivering meaningful outcomes. We value ownership, continuous learning, and thoughtful speed. If you thrive in a collaborative, fast-moving environment where trust and impact matter, you&rsquo;ll feel at home here.</div><div></div><div><br>
<div><b>
About the role
</b></div><div>The Data Engineering team at Aircall works on providing high-quality, reliable, and actionable data. As an AI-first data team, we are currently in a pivotal transition to build a robust semantic layer that will power our AI-first data platform, enabling analytics at speed and democratizing intelligent insights across the company. Some of the key problems we are currently solving include taking charge of data reliability, integrating new sources for raw data ingestion, and building sophisticated data models to power real-time dashboards and predictive analytics.</div>
<div></div>
<div>In this role, you will be instrumental in building new datasets for high-impact use cases such as churn prediction and feature adoption, while owning the end-to-end reliability and scalability of our data pipelines. You will work closely with Product and GTM business teams, sitting at the heart of a larger data organization alongside Data Science, Analytics, and Applied Scientists to bridge the gap between raw data and AI-driven decision-making.</div>
</div></div><div><div><h3 class="jobSectionHeader"><b>Your missions @ Aircall:</b></h3><div><div><div>
<ul><li>Partner with GTM stakeholders to translate business questions into reliable, scalable data products.</li>
<li>Provide actionable insights and compelling narratives to influence major decisions at the C-level.</li>
<li>Build and own reporting in Looker, from LookML development to dashboard performance optimization, powering self-service analytics GTM teams rely on every day.</li>
<li>Work closely with data engineers to continuously improve the data stack, governance practices, and analysis quality.</li>
</ul></div></div></div></div></div><div><div><h3 class="jobSectionHeader"><b>A little more about you:</b></h3><div><div><div>
<ul><li>2+ years of hands-on experience in a high growth environment</li>
<li>Proficiency in SQL for deriving insights</li>
<li>Proficiency in Python</li>
<li>Hands-on Looker/LookML experience</li>
<li>Excellent interpersonal skills and the ability to explain complex data clearly to stakeholders at all levels</li>
<li>You have an insatiable curiosity and are biased toward action</li>
</ul></div></div></div></div></div><div><div>$140,000 - $180,000 a year</div><div>
This is not including equity and other benefits. The actual salary offered will carefully consider a wide range of factors, including your skills, qualifications, and experience.</div></div><div><div><b>
Why join us?</b></div>
<div></div>
<div>   Key moment to join Aircall in terms of growth and opportunities</div>
<ul><li>️ Our people matter, work-life balance is important at Aircall</li></ul>
<div>   Fast-learning environment, entrepreneurial and strong team spirit</div>
<div>   45+ Nationalities: cosmopolite &amp; multi-cultural mindset</div>
<div>   Competitive salary package &amp; benefits</div>
<div>   Medical, dental, and vision insurance is 100% covered</div>
<div>   401k plan with company matching!</div>
<div>✈️ Unlimited PTO &mdash; take the time you need to come to work feeling great!</div>
<ul><li>️ Wellness, commuter, and childcare reimbursements</li></ul>
<div>   Generous parental leave policy</div>
<div></div>
<div>DE&amp;I Statement:</div>
<div>At Aircall, we believe diversity, equity and inclusion &ndash; irrespective of origins, identity, background and orientations &ndash; are core to our journey.</div>
<div></div>
<div>We pride ourselves on promoting active inclusion within our business to foster a strong sense of belonging for all. We&rsquo;re working to create a place filled with diverse people who can enrich and learn from one another. We&rsquo;re committed to ensuring that everyone not only has a seat at the table but is valued and respected at it by providing equal opportunities to develop and thrive.</div>
<div></div>
<div>We will constantly challenge ourselves to make sure that we live up to our ambitions around diversity, equity and inclusion, and keep this conversation open. Above all else, we understand and acknowledge that we have work to do and much to learn.</div>
<div></div>
<div>Want to know more about candidate privacy? Find our Candidate Privacy Notice here.</div></div><div><div><i>
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. 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.</i></div></div></div></div><p></p>

Data Scientist

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