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applied ai analyst

Achievement Behavior Services

<div><p>Achievement Behavior Services is a boutique, in-home Applied Behavior Analysis (ABA) therapy agency. As professionals, we are dedicated to the mission of connecting families with children who have varying diagnoses of autism spectrum disorder (ASD) to comprehensive ABA tools, principals, and practice, With every client, we aim for sustainable success and increased confidence during the learner's school-aged years. The demographic that we are students between the ages of 3 and 23 years of age. We operate at the leadership of LCSWs and BCBAs, and have been learning and growing as an ABA agency since 2015. Presently, we are seeking ABA Behavioral Technicians/Therapists (BTs) to join our network of dedicated ABA professionals. In this role, you will be working with one student 1:1 providing them with direct ABA services in collaboration with one of our many esteemed Board-Certified Behavioral Analyst (BCBAs).</p><p><b><br>
What we offer our Behavior Technicians:</b></p><ul><li><p>
A competitive hourly starting rate (based on qualifications, experience, and credentials)</p></li><li><p>
Flexible PART-TIME schedules: after school &amp; potential for weekends</p></li><li><p>
Work collaboratively with leaders in our ABA Professionals Network.</p></li><li><p>
Training and Mentorship by your immediate supervisor</p></li><li><p>
Opportunities to pursue further professional credentials: Registered Behavior Technician (RBT)</p></li><li><p>
Personalized collaboration and training at the supervision of a Board-Certified Behavioral Analyst (BCBAs)</p></li></ul><p><b><br>
In the role as an ABA Behavior Technician, </b>you will work directly, one-on-one, with the child in their natural, home environment. You will be supported by a lead, board-certified behavior analyst (BCBA) while you move through the individualized Behavior Intervention Plan (BIP) that was scribed to help the student experience increased success in communication, focus, and positively adapting behaviors. According to this BIP, daily, you will collect numerical and qualitative data on these goals. The charted progress will be used to create new, personalized interventions and goals as the relationship with the student progresses from month-to-month.</p><p><b><br>
The Qualifications of a Behavior Technician:</b></p><ul><li><p>
Relevant Fields of Study: Applied Behavior Analysis, Psychology, Special Education, Occupational Therapy, Speech Language Pathology, Human Services</p></li><li><p>
Relevant Certifications: Registered Behavior Technician (RBT) certificate from the Behavior Analyst Certification Board, Crisis Intervention Training, Sexual Harassment and Mandated Reporter Training, CPR, AED, and First Aid Training</p></li><li><p>
Strong stakeholder communication skills required</p></li><li><p>
Ability to be adaptable under high-stress situations</p></li><li><p>
Exhibits professional administrative reliability: punctuality and responsiveness</p></li><li><p>
Proven experience working with pre-school and elementary school-aged children</p></li><li><p>
Additional evidence of successful work with patients suffering from Autism and development issues</p></li><li><p>
Other experience, certificates, or qualifications as required by NY State.</p></li><li><p>
Intuitive, engaging, compassionate, and person-centered approaches</p></li><li><p>
Proven experience with documenting progress notes and data points aligning with individualized treatment plans and goals</p></li><li><p>
Imaginative and Engaging Play Skills</p></li><li><p>
Creativity to create structured learning in a home setting</p></li></ul><p><br>
If you are interested in a Behavior Technician Opportunity with Achievement Behavior Services, the click APPLY!</p></div>

10027 Registered Behavior Technician NY

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

Citi

<div><h2 class="jobSectionHeader"><b>Discover your future at Citi</b></h2>
<p>Working at Citi is far more than just a job. A career with us means joining a team of more than 230,000 dedicated people from around the globe. At Citi, you&rsquo;ll have the opportunity to grow your career, give back to your community and make a real impact.</p>
<h2 class="jobSectionHeader"><b>Job Overview</b></h2>
<p><b>Job Description:</b></p>
<p>Citi is looking for a Balance Sheet Strategy Senior Lead Analyst to join the Balance Sheet Strategy and Returns team within the Treasury function, playing a central role in shaping how Citi manages and utilizes its financial resources. In this position, you will drive strategic analysis and initiatives that directly inform senior decision-making on capital, liquidity, and returns. This is a unique opportunity to operate at the intersection of Treasury strategy, corporate finance, and executive engagement, with direct visibility into Citi's firm-wide balance sheet planning priorities.
<br>
<br>
<b>Responsibilities:</b></p>
<ul><li>Lead the development of impactful materials and critical analyses for a senior cross-functional strategy forum focused on generating and recommending initiatives that improve Citi's financial resource utilization and returns.</li>
<li>Coordinate and support strategy working group sessions that feed into the forum, engaging directly with senior business stakeholders to solicit input, organize breakout sessions, and assess the quality of analyses presented.</li>
<li>Serve as a Treasury sponsor delegate for Citi's cost of equity framework, ensuring its outputs remain accurate, current, and decision-ready for use across the organization.</li>
<li>Calculate, track, and analyze Citi's cost of capital using the cost of equity framework, producing key deliverables in support of senior management reporting and decision-making.</li>
<li>Establish and maintain consistent return frameworks that guide the appropriate allocation of Citi's capital and financial resources across the organization.</li>
<li>Engage with Corporate M&amp;A on behalf of Treasury to conduct comprehensive financial impact assessments and support senior Treasury leadership's M&amp;A oversight responsibilities.</li>
</ul><p></p><p><b>Qualifications &amp; Skills:</b></p>
<ul><li>10 or more years of experience in financial services, with demonstrated expertise in balance sheet management, Treasury, or a closely related discipline.</li>
<li>Advanced analytical capability in evaluating actual and forecast financial results.</li>
<li>Strong proficiency in analytical tools such as Excel, Python, and SQL, applied to complex financial analysis.</li>
<li>Demonstrated ability to communicate complex financial concepts clearly and persuasively, across written communication, presentations, and senior-level verbal settings.</li>
<li>Solid command of balance sheet fundamentals and profit and loss dynamics, with the ability to translate financial data into strategic recommendations.</li>
<li>Familiarity with Citi financial systems or equivalent enterprise-grade Treasury and finance platforms used in large financial institutions is an advantage.</li>
</ul><ul><li>Experience presenting to or preparing materials for senior governance forums, executive committees, or investor-facing audiences is an advantage.</li>
</ul><p></p><p><b>Education:</b></p>
<ul><li>Bachelor's degree in finance, economics, or a related field; a Master's degree is an advantage.</li>
</ul><p>-</p>
<h2 class="jobSectionHeader"><b>Job Family Group:
</b></h2>Finance
<p>-</p>
<h2 class="jobSectionHeader"><b>Job Family:</b></h2>
Balance Sheet Management
<p>-</p>
<h2 class="jobSectionHeader"><b>Time Type:</b></h2>
Full time
<p>-</p>
<h2 class="jobSectionHeader"><b>Primary Location:</b></h2>
New York New York United States
<p>-</p>
<h2 class="jobSectionHeader"><b>Primary Location Full Time Salary Range:</b></h2>
$176,720.00 - $265,080.00<br>
<p><br>
In addition to salary, Citi&rsquo;s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental &amp; vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.
</p><p>-</p>
<h2 class="jobSectionHeader"><b>Most Relevant Skills
</b></h2>Balance Sheet, Business Acumen, Digital Skills (Including AI), Financial Analysis, Internal Controls, Management Reporting, Process Execution, Risk Identification and Assessment.
<p>-</p>
<h2 class="jobSectionHeader"><b>Other Relevant Skills
</b></h2>For complementary skills, please see above and/or contact the recruiter.
<p>-</p>
<h2 class="jobSectionHeader"><b>Anticipated Posting Close Date:</b></h2>
Jun 29, 2026
<p>-</p>
<p><i>Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.</i></p></div><p></p>

Balance Sheet Mgmt Sr Ld Anlst - SVP

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

MetLife

When you join MetLife’s Global Technology team, you’ll be part of a forward-thinking group dedicated to shaping the future of digital solutions for customers worldwide. You’ll develop, maintain and support technology applications and delivery, leveraging AI, automation, and contemporary ways of working to enhance experiences and drive business outcomes. Your work will simplify complex processes, improve tech resiliency, and ensure high-performing, seamless solutions that power life’s most important moments. In this dynamic environment, you’ll collaborate with talented peers across teams and functions, expanding your skills in impactful ways. Ready to push boundaries and set new industry standards? Join us and help drive the future of technology forward.
<br>Technical Functional Analyst role is crucial for enhancing MetLife's technical capabilities to manage risk across the company. Understanding the risk framework, exploring technical options, and recommending, influencing, and executing contemporary technology solutions are key goals for this position. This is an exciting opportunity for a technical functional analyst who appreciates the importance of risk management and has a passion for being part of a great and successful team. You will play a key role in understanding the needs of our business partners, researching the best technology solutions in partnership with the Risk IT team, Architecture, and other departments, and helping drive execution. Additionally, you will have the opportunity to learn and implement cloud-based and AI solutions that will be integral to the pattern and orchestration for successful delivery
<br><ul>
<li>Enable and coordinate the development and implementation of technology solutions for Compliance, Operational Risk Management, Technology Risk, and Internal.</li>
<li>Understand business and risk needs, including the external landscape, to gather, drive, and influence requirements for the highest impact.</li>
<li>Create and maintain comprehensive project documentation, including plans, status reports, and risk assessments.</li>
<li>Oversee the integration of new technology solutions with existing systems and processes.</li>
<li>Manage project timelines, budgets, and resources to ensure successful delivery.</li>
<li>Develop and execute test plans to ensure the quality and functionality of technology solutions.</li>
<li>Coordinate with business partners, IT teams, Architecture, and other departments to understand their needs and deliver effective solutions.</li>
<li>Work with vendors and technical teams to develop plans, drive execution, and validate functionality.</li>
<li>Research and recommend contemporary technology options to enhance risk management capabilities.</li>
<li>Collaborate with our and vendor developers and engineers to design and implement the right technical capability.</li>
<li>Learn and implement cloud-based and AI solutions as part of the technology strategy.</li>
<li>At least 5 years of hands-on experience as a business analyst or technical analyst.</li>
<li>Excellent written and verbal communication skills.</li>
<li>Ability to create leadership level PowerPoint presentations to provide status updates and help facilitate key deliverables, including project management schedules.</li>
<li>Proven ability to gather, drive, and influence requirements for the highest impact.</li>
<li>Experience working with vendors and technical teams to develop plans, drive execution, and validate functionality.</li>
<li>Technical proficiency to collaborate with developers and engineers to design and implement the right technical capability.</li>
<li>Familiarity with data analytics and visualization tools such as Power BI.</li>
<li>Experience working in a large global company.</li>
<li>Strong understanding of risk frameworks and the ability to recommend, influence, and execute contemporary technology solutions.</li>
<li>Knowledge of cloud-based and AI solutions and their application in risk management.</li>
<li>Preference for individuals with experience supporting risk areas (Compliance, Operational Risk, Technology Risk, or Credit Risk).</li>
<li>Knowledge of Archive solutions (ProofPoint, Smarch, GlobalRelay,etc.)</li>
<li>Subject Matter Expertise in eDiscovery solutions (EPIC, Kroll,etc.)</li>
<li>Proficiency in scripting languages like Python or SQL for data analysis and automation.</li>
<li>Experience with Agile methodologies and tools like AZDO.</li>
<li>Strong problem-solving skills and the ability to think critically and strategically.</li>
<li>Ability to mentor and guide junior team members in technical and functional aspects.</li>
</ul>
<b>Location Expectation:</b> This is a hybrid role requiring a minimum of 3 days per week in office.
<br>The expected salary range for this position is $90,000 - $117,400. This role may also be eligible for annual short-term incentive compensation and stock-based long-term incentives. All incentives and benefits are subject to the applicable plan terms.
<br>Benefits We Offer
<br>Our U.S. benefits address holistic well-being with programs for physical and mental health, financial wellness, and support for families. We offer a comprehensive health plan that includes medical/prescription drug and vision, dental insurance, and no-cost short- and long-term disability. We also provide company-paid life insurance and legal services, a retirement pension funded entirely by MetLife and 401(k) with employer matching, group discounts on voluntary insurance products including auto and home, pet, critical illness, hospital indemnity, and accident insurance, as well as Employee Assistance Program (EAP) and digital mental health programs, parental leave, paid time off, paid holidays, volunteer time off, tuition assistance and much more!
<br><br>
About MetLife
<br><br>
Recognized on Fortune magazine's list of the "World's Most Admired Companies", Fortune World’s 25 Best Workplaces™, as well as the Fortune 100 Best Companies to Work For®, MetLife, through its subsidiaries and affiliates, is one of the world’s leading financial services companies; providing insurance, annuities, employee benefits and asset management to individual and institutional customers. With operations in more than 40 markets, we hold leading positions in the United States, Latin America, Asia, Europe, and the Middle East.
<br><br>
Our purpose is simple - to help our colleagues, customers, communities, and the world at large create a more confident future. United by purpose and guided by our core values - Win Together, Do the Right Thing, Deliver Impact Over Activity, and Think Ahead - we’re inspired to transform the next century in financial services. At MetLife, it’s [1] #AllTogetherPossible. Join us!
<br><br>
MetLife is an Equal Opportunity Employer. All employment decisions are made without regards to race, color, national origin, religion, creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, age, disability, marital or domestic/civil partnership status, genetic information, citizenship status (although applicants and employees must be legally authorized to work in the United States), uniformed service member or veteran status, or any other characteristic protected by applicable federal, state, or local law ("protected characteristics").
<br><br>
If you need an accommodation due to a disability, please email us at accommodations@metlife.com. This information will be held in confidence and used only to determine an appropriate accommodation for the application process.
<br><br>
MetLife maintains a drug-free workplace.
<br><br>
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liabilities.
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References
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Visible links
<br>1. https://www.metlifecareers.com/ml/GreatPlaceToWork

Technical Functional Analyst

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)

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

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