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Barracuda Networks

<div><p>Job ID 27-0286</p><p>
Come join our passionate team! Barracuda is a leading cybersecurity company providing complete protection against complex threats. Our platform protects email, data, applications, and networks with innovative solutions, and a managed XDR service, to strengthen cyber resilience. Hundreds of thousands of IT professionals and managed service providers worldwide trust us to protect and support them with solutions that are easy to buy, deploy, and use.</p><p>
We know a diverse workforce adds to our collective value and strength as an organization. Barracuda Networks is proud to be an Equal Opportunity Employer, committed to equal employment opportunity and equitable compensation regardless of race, gender, religion, sex, sexual orientation, national origin, or disability.</p><p><b>
Envision yourself at Barracuda:</b></p><p>
At Barracuda, we&rsquo;re on a mission to help organizations protect themselves in an increasingly complex cyber threat landscape. As part of our continued growth, we&rsquo;re expanding our Account Executive - XDR Specialist team &mdash; a critical group that drives the adoption of our <b>Managed XDR platform</b> across new and existing partners and customers. As an Account Executive - XDR Specialist, you&rsquo;ll play a key role in enabling our <b>Account Executives, Channel Managers, and Partner Development Managers</b> to effectively position and sell our <b>Managed XDR services</b>, spanning <b>Endpoint, Cloud, Network, Email, and Server Monitoring</b>. You&rsquo;ll act as a subject matter expert, guiding partners through the sales process and helping them understand how Barracuda&rsquo;s XDR platform enhances their cybersecurity posture.<br>
This is an exciting opportunity to work in a fast-paced environment, collaborate cross-functionally, and contribute directly to the growth of a strategic product line. Strong preference will be given to candidates located in the Eastern Standard Time (EST) zone to align effectively for best cross-functional team collaboration.<br>
<br>
<b>What you&rsquo;ll be working on</b></p><ul><li>
Work alongside Account Executives, Channel Managers, and Partner Development Managers to identify and drive XDR sales opportunities across both new and existing partners &amp; customers</li><li>
Act as a trusted advisor to partners, helping them understand the value of Barracuda&rsquo;s full XDR platform, including Endpoint, Cloud, Email, Network, and Server Monitoring services</li><li>
Deliver product presentations, demonstrations, and technical guidance to partners and prospects to support the sales process</li><li>
Develop and execute targeted sales plays and cross-sell campaigns to expand XDR adoption within existing partners</li><li>
Manage your monthly pipeline focusing your efforts around the complex and highly competitive opportunities while exceeding your monthly quota</li><li>
Track partner engagement, sales progress, and pipeline development, sharing insights and feedback to help continuously improve our approach</li><li>
Stay up to date on industry trends, competitor offerings, and emerging threats to ensure Barracuda&rsquo;s XDR platform remains relevant and competitive</li></ul><p><b>
What you bring to the role</b></p><br>
<ul><li>
5-8+ years experience in cybersecurity sales or pre-sales, preferably in the managed services or XDR space</li><li>
Proven success working with MSPs or channel partners, with strong understanding of the MSP business model and security services landscape</li><li>
Ability to articulate technical concepts to both technical and non-technical audiences</li><li>
Strong collaboration skills, with experience working cross-functionally across sales, channel, product, and marketing teams</li><li>
Excellent communication, presentation, and consultative selling skills</li><li>
Self-motivated, organized, and able to prioritize effectively in a fast-paced environment</li><li>
Experience with cybersecurity solutions across endpoint, email, cloud, and network security is a plus</li></ul><p><b>
What you&rsquo;ll get from us:</b>
</p><div>A team where you can voice your opinion, make an impact, and where you and your experience are valued. Internal mobility &ndash; there are opportunities for cross training and the ability to attain your next career step within Barracuda.
</div><ul><li>Equity, in the form of non-qualifying options</li><li>
High-quality health benefits</li><li>
Retirement Plan with employer match</li><li>
Career-growth opportunities</li><li>
Flexible Time Off and Paid Time Off benefits</li><li>
Volunteer opportunities</li></ul><div>
The anticipated on target earning (OTE) range for this role is $176,000.00 to $230,000.00. Actual compensation offered will be dependent upon the individual's skills, experience, and qualifications as they directly relate to the requirements of the position, the budget for the position, and applicable employment laws.<br>
</div><div>
At Barracuda, we believe in fair and equitable compensation practices that reflect both market realities and the unique circumstances of each geographical location. We recognize that cost-of-living disparities, market conditions, and other factors can significantly impact compensation expectations in different regions. The compensation range provided in this job description is for illustrative purposes only and may not reflect the actual compensation offers for the position in your location. Final compensation will be determined based on a variety of factors including the candidates&rsquo; qualifications and experience.</div><div><br>
</div><div>
#LI-Remote</div></div><div></div>

XDR Account Executive

Alignerr

<div>
 <strong>
  English Audio Transcription Specialist (AI Training)
  <br/>
  <br/>
 </strong>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 What if your sharp ear and command of English could directly shape how AI listens to and understands the spoken word? We're looking for English Audio Transcription Specialists in the New York metro area to convert spoken audio into accurate, well-formatted text &mdash; helping AI systems learn to process real human speech with all its accents, nuances, and complexity.
 <br/>
 <br/>
 This is a fully remote, flexible contract role. No prior transcription or AI experience is required &mdash; just excellent English listening skills, strong attention to detail, and a reliable internet connection.
 <br/>
 <br/>
 <ul>
  <li>
   Organization: Alignerr
  </li>
  <li>
   Type: Hourly Contract
  </li>
  <li>
   Location: Remote
  </li>
  <li>
   Commitment: 10&ndash;40 hours/week
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What You'll Do
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Listen to audio recordings in English and produce precise, verbatim transcriptions
  </li>
  <li>
   Accurately capture spoken content including natural speech patterns, filler words, and speaker changes where required
  </li>
  <li>
   Apply consistent formatting, punctuation, and spelling conventions according to project guidelines
  </li>
  <li>
   Identify and flag unclear, inaudible, or ambiguous audio segments
  </li>
  <li>
   Handle a diverse range of audio types &mdash; conversations, interviews, lectures, podcasts, customer interactions, and more
  </li>
  <li>
   Review and proofread transcriptions for accuracy, completeness, and adherence to style guides
  </li>
  <li>
   Work independently and asynchronously &mdash; fully on your own schedule
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Who You Are
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Native or near-native fluency in English with excellent listening comprehension
  </li>
  <li>
   Strong written English skills &mdash; confident with grammar, spelling, and punctuation
  </li>
  <li>
   Naturally detail-oriented with a consistent, methodical approach to work
  </li>
  <li>
   Able to follow structured guidelines and apply them accurately at scale
  </li>
  <li>
   Comfortable working with different accents, speaking speeds, and audio quality levels
  </li>
  <li>
   Self-motivated and reliable when working independently
  </li>
  <li>
   No prior transcription, AI, or tech experience required
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Nice to Have
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience in transcription, closed captioning, subtitling, or stenography
  </li>
  <li>
   Familiarity with transcription tools or audio editing software
  </li>
  <li>
   Background in linguistics, journalism, communications, or media production
  </li>
  <li>
   Experience working with varied English dialects and accents (American, British, Australian, Indian, etc.)
  </li>
  <li>
   Fast, accurate typing skills (70+ WPM)
  </li>
  <li>
   Knowledge of specialized vocabulary in fields such as medicine, law, technology, or finance
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Why Join Us
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Work on cutting-edge AI projects alongside leading research labs
  </li>
  <li>
   Fully remote and flexible &mdash; work when and where it suits you
  </li>
  <li>
   Freelance autonomy with the structure of meaningful, task-based work
  </li>
  <li>
   Contribute to AI development that directly improves how technology understands human speech
  </li>
  <li>
   Build skills in a high-demand field at the intersection of language and AI
  </li>
  <li>
   Potential for ongoing work and contract extension as new projects launch
  </li>
 </ul>
</div>


English Audio Transcription Specialist

International Swaps and Derivatives Association

<div><div><p>June 30, 2026</p>
<p><b>Job Title:</b> Assistant Director, Artificial Intelligence</p>
<p><b>Reports to:</b> Senior Director, Digital Transformation, Analytics</p>
<p><b>Location:</b> New York</p>
<p><b>Salary Range:</b> $120,000 - $130,000</p>
</div><div><p><b>Job purpose</b><br>
This is a hands-on role. The successful candidate will architect and build production AI systems directly, while owning delivery, quality, evaluation, and partner management across the AI Solutions Lab portfolio. The role reports to the Senior Director of Digital Transformation and head of the AI Solutions Lab.</p><br>
<p></p>
<p><b>
Duties and responsibilities</b></p>
<ul>
<li>Deliver the next phase of the ISDA AI Solutions Lab&rsquo;s buildout, helping move current AI initiatives from prototype/MVP stage toward robust, scalable and member-ready delivery. Architect and build the next phase of AI agents, external and internal.</li>
<li>Own the design and delivery of AI solutions that make ISDA standards and digital solutions more accessible, usable and AI-ready for members.</li>
<li>Help shape and scale the ISDA Knowledge Base and Assistant as the governed foundation for AI-enabled access to ISDA standards, taxonomies and related IP.</li>
<li>Oversee enhancement of priority AI capabilities including the CDM Coder, DRR Translator, Tracer, cross-jurisdiction analysis and AI legal opinions initiatives.</li>
<li>Help drive development and rollout of internal AI capabilities and agents aligned with the internal AI deployment roadmap.</li>
<li>Define product requirements, broader Agents orchestration, architecture direction, evaluation harnesses and quality standards and delivery priorities across the AI Solutions Lab portfolio.</li>
<li>Work closely with internal SMEs across CDM, DRR, legal, IT and product teams to ensure solutions are accurate, grounded and useful in real workflows.</li>
<li>Reach out to members for pulse checks and convert member and stakeholder feedback into roadmap decisions, product refinements and delivery choices to maximize adoption.</li>
<li>Help define practical connectivity and delivery models, including MCP servers and packaged AI Skills, so members can consume ISDA AI capabilities safely within their own environments.</li>
<li>Contribute to broader ISDA AI strategy development, including alignment between external member-facing AI solutions and internal AI deployment priorities.</li>
<li>Lead AI quality, guardrails and governance across the Lab&rsquo;s solutions, including evaluation harnesses, groundedness and traceability checks, observability and tracing, confidence frameworks, security and safe use boundaries, both internally and externally.</li>
<li>Own cost aware design of AI workloads, balancing performance and reliability against inference and infrastructure spend.</li>
<li>Manage relevant external partners and specialist vendors, ensuring work is aligned to ISDA&rsquo;s priorities, timelines, architecture and ownership model.</li>
<li>Support the Senior Director including for executive and board reporting by articulating progress, key risks, delivery needs and strategic value in a clear and concise way.</li>
<li>Help build a durable internal AI capability for ISDA that protects ISDA IP, accelerates adoption of ISDA standards and reinforces ISDA&rsquo;s strategic position in the market<b><i>.</i></b></li></ul><br>
<p></p>
<p><b>
Relevant Skills / Abilities</b></p>
<ul>
<li>Strong senior-level experience (at least five years) leading the design and delivery of AI-enabled products or platforms from prototype through controlled rollout and production, with a demonstrable track record of shipping production AI systems that serve real users.</li>
<li>Hands-on engineering ability in Python (and ideally TypeScript/React for front end UI) and Java, and comfortable building production systems directly.</li>
<li>Deep understanding of LLMs, retrieval-augmented generation (including hybrid retrieval across semantic, graph and keyword search, with reranking and embedding-model selection), knowledge bases, knowledge graphs and ontologies, agentic workflows and skills, evaluation methods (eval harnesses, LLM-as-judge, groundedness and faithfulness metrics, tracing), and model risk controls.</li>
<li>Experience building secure, scalable and reliable AI solutions in enterprise environments, including governance, permissions, auditability and data protection including private retrieval architectures and ensuring proprietary data is not exposed to external model providers</li>
<li>Hands-on AWS experience (Bedrock, Neptune, OpenSearch, Lambda) is very important. Strong engineers able to ramp quickly will also be considered. Cost-aware design of inference and infrastructure spend is expected.</li>
<li>Proven ability to translate complex domain knowledge into usable AI products, ideally in financial markets, regulatory technology, legal tech, standards or data-intensive environments; or a demonstrated ability to ramp quickly on a complex domain.</li>
<li>Strong product and solution architecture skills, with the ability to define use cases, prioritize roadmap items and align technical delivery with strategic business outcomes.</li>
<li>Experience overseeing external vendors, technology partners and proof-of-concept work, while retaining internal control of direction, quality and IP.</li>
<li>Ability to work closely with subject matter experts to refine AI tools iteratively and turn specialist feedback into practical product improvements.</li>
<li>Strong grasp of structured data, taxonomies, ontology-style data models and mappings across complex standards or schemas.</li>
<li>Experience with user testing, controlled pilots, adoption planning, training and feedback loops for specialist user populations.</li>
<li>Strong judgment on AI risks, including hallucination, groundedness, security, explainability, confidence scoring and safe deployment boundaries.</li>
<li>Degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related discipline, or equivalent practical experience, is desirable.</li>
<li>Excellent communication skills, including the ability to understand member issues, to work across the organization and influence and align stakeholders, and to brief senior management and explain technical issues in concise business language.</li>
<li>Demonstrated ability to operate in a lean, hands-on environment, balancing strategy, execution and stakeholder engagement.</li></ul></div></div><p></p>

Assistant Director, Artificial Intelligence, NY

PowerToFly

<p><strong>Job Overview</strong><br /><br /><strong>PowerToFly</strong> is seeking a dedicated and articulate <strong>Online Chat Support</strong> specialist to join our dynamic team. This is a <strong>Full-Time</strong> position based in <strong>New York Mills, Minnesota, United States</strong>. The successful candidate will play a crucial role in supporting our global community of over 1.1 million professionals and the organisations we partner with.<br /><br />At PowerToFly, we connect organisations with the AI-skilled and domain-expert talent they need to build better, more representative models. As the first point of contact for many in our diverse community, you will provide exceptional service, answer enquiries, and ensure a seamless user experience on our platform. This role offers a competitive hourly wage of <strong>$26 - $36 USD per hour</strong>.<br /><br /><strong>Responsibilities</strong><br /><br /> </p><ul><li>Provide timely, professional, and accurate support to our community members and clients via live chat.</li><li>Serve as an expert on the PowerToFly platform, guiding users through features and troubleshooting issues.</li><li>Resolve user enquiries regarding our services, including talent acquisition and AI model training.</li><li>Effectively identify and escalate complex technical issues to the appropriate internal teams for resolution.</li><li>Maintain detailed and accurate records of all user interactions and feedback in our CRM system.</li><li>Contribute to our knowledge base by documenting common issues and creating helpful support articles.</li><li>Collaborate with team members to improve our support processes and overall customer satisfaction.</li><li>Uphold the professional and inclusive tone of the PowerToFly brand in all communications.</li></ul><p><strong>Qualifications</strong><br /><br /> </p><ul><li>Proven experience in a customer support, technical support, or similar client-facing role.</li><li>Exceptional written communication and interpersonal skills, with a strong command of the English language.</li><li>Excellent problem-solving skills and the ability to think critically under pressure.</li><li>Proficiency in managing multiple conversations simultaneously in a fast-paced environment.</li><li>Experience with helpdesk software (e.g., Zendesk, Intercom) and CRM systems is highly advantageous.</li><li>A high degree of empathy, patience, and a genuine desire to help others.</li><li>A strong interest in technology, artificial intelligence, and community-building is desirable.</li><li>Must be self-motivated and capable of working effectively both independently and as part of a team.</li></ul><p> </p>

Online Chat Support

Cohere

<div>
 <strong>
  Who are we?
  <br/>
  <br/>
 </strong>
 Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.
 <br/>
 <br/>
 We&rsquo;re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.
 <br/>
 <br/>
 We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.
 <br/>
 <br/>
 We are a global technology company co-headquartered in Toronto and San Francisco, with key offices in London, New York City, Montreal, Seoul, Germany and Paris. Join us!
 <br/>
 <br/>
 <strong>
  Why this role?
  <br/>
  <br/>
 </strong>
 We're building the foundational infrastructure that will define how the world thinks about and deploys AI, and we want the sharpest, most curious people to help us do it. As a member of our Analytics &amp; Data Insights team, you'll tackle the kind of problems that don't have textbook answers yet, launch products that didn't exist a year ago, and help enterprises understand what foundational AI actually means for their bottom line.
 <br/>
 <br/>
 <strong>
  As a Data Engineer, You Will
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Work directly on new customer experiences built on one of the most advanced AI systems in the world
  </li>
  <li>
   Collaborate daily with researchers and engineers who are some of the best in the world at what they do
  </li>
  <li>
   Run implementations end-to-end and see initiatives through to real outcomes
  </li>
  <li>
   Partner across research, marketing, sales, and finance to help define how Cohere grows, with your recommendations feeding directly into products and strategy
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  You May Be a Good Fit If You Have
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   5+ years of experience working on production-grade data processing systems
  </li>
  <li>
   Strong command of Python and SQL
  </li>
  <li>
   Experience with distributed data processing frameworks such as Apache Beam, Spark, or Flink, alongside large-scale data system design
  </li>
  <li>
   The ability to transform unstructured data into performant datasets in relational databases and blob storage
  </li>
  <li>
   Familiarity with modern analytics stack tooling such as BigQuery, Airflow, or dbt
  </li>
  <li>
   Knowledge of Java or Golang (nice to have)
  </li>
  <li>
   Experience with Kubernetes (nice to have)
  </li>
  <li>
   Genuine excitement about AI - you follow the research, have opinions, and enjoy being in the weeds
  </li>
  <li>
   Comfort operating at the edge of what's known, with a desire to build something genuinely new rather than optimise what already exists
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Full-Time Employees At Cohere Enjoy These Perks
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   A weekly lunch stipend of $75/&pound;75 or equivalent in your local currency for lunch.
  </li>
  <li>
   Full health and dental benefits, including a separate budget for mental health.
  </li>
  <li>
   RRSP matching, 401K, Pension Scheme.
  </li>
  <li>
   100% Parental Leave top-up for up to 6 months, for either parent.
  </li>
  <li>
   Annual enrichment benefits:
   <br/>
   <br/>
  </li>
 </ul>
 Arts &amp; culture, fitness/wellness, quality time, and a workspace improvement credit.
 <br/>
 <br/>
 Education &amp; learning stipend for conferences, courses, and coaching.
 <br/>
 <br/>
 <ul>
  <li>
   6 weeks of paid vacation (30 working days!)
  </li>
  <li>
   Budget for traveling to other offices if you are remote, plus an annual company offsite.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  How And Where We Work
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Cohere is remote-friendly. We have offices in Toronto, San Francisco, New York City, London, Paris, Montreal, and more coming soon.
  </li>
  <li>
   For those in the office: a daily lunch program, plenty of snacks, and regular community and social events.
  </li>
  <li>
   For those not near an office: a co-working benefit so you can work alongside others in your city.
  </li>
  <li>
   Everyone receives a $500 home office stipend to set up your workspace properly.
   <br/>
   <br/>
  </li>
 </ul>
 If any of the above doesn&rsquo;t line up exactly with your experience, we still encourage you to apply.
 <br/>
 <br/>
 We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.
 <br/>
 <br/>
 We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider.
</div>


Data Engineer, Data Foundations

NYU Langone Health

<div><p>NYU Grossman School of Medicine is one of the nation's top-ranked medical schools. For 175 years, NYU Grossman School of Medicine has trained thousands of physicians and scientists who have helped to shape the course of medical history and enrich the lives of countless people. An integral part of NYU Langone Health, the Grossman School of Medicine at its core is committed to improving the human condition through medical education, scientific research, and direct patient care. At NYU Langone Health, equity and inclusion are fundamental values. We strive to be a place where our exceptionally talented faculty, staff, and students of all identities can thrive. We embrace inclusion and individual skills, ideas, and knowledge.
<br>
<br>
<i>For more information, go to</i> <i>med.nyu.edu</i>, and interact with us on <i>LinkedIn</i>, <i>Glassdoor</i>, <i>Indeed</i>, <i>Facebook</i>, <i>Twitter</i> <i>and</i> <i>Instagram</i>.</p>
<p><b>
Position Summary:</b><br>
We have an exciting opportunity to join our team as a Engineer II - Applied AI.
</p><p>As a ML Engineer, you will support the implementation of diverse Generative AI and Machine Learning initiatives across the health system. You will be responsible for driving specific projects forward in collaboration with the key customers - data scientists, business units and IT partners across the various verticals (corporate services, office of science and research, clinical, and pathology).</p>
<p><b>
Job Responsibilities:</b></p>
<div>
<ul><li>Design and implement AI/ML applications using tools and frameworks from our teams technology stack and following the best practices in software development</li>
</ul></div><div><ul><li>Collaborate with data scientists to build and / or fine-tune high performing AI models and implement modern techniques from relevant published papers</li>
</ul></div><div><ul><li>Develop scalable and robust pipelines to support large data processing tasks</li>
</ul></div><div><ul><li>Implement our internal security and data protection standards in AI applications; assist the team with maintaining emerging AI system risk and security standards</li>
</ul></div><div><ul><li>Support the team in preparation for technical reviews and internal documentation (architecture, IT Security, AI)</li>
</ul></div><div><ul><li>Collaborate with other team members and stakeholders to meet team objectives; develop understanding of business workflows shadow / work with clients to gather feature requirements, identify and document AI opportunities, create appropriate tickets, participate in backlog refinement, execute tickets, participate in code-review activities</li>
</ul></div><div><ul><li>Stay updated with the latest industry trends and advancements in AI and relevant cloud technologies; routinely share and demonstrate learnings with the team</li>
</ul></div><div><ul><li>Provide technical guidance and coaching to less experienced team members</li>
</ul></div><div><ul><li>Participate in all phases of AI software development life cycle, including functional analysis, prototyping, development, evaluation, testing, deployment, refactoring and technical support</li></ul></div><br>
<p>
</p><p><b>Minimum Qualifications:</b><br>
To qualify you must have a 1. Bachelor's degree in computer science, software engineering, or a related field.<br>
2. At least 1-3 years of hands-on experience in AI Solution development<br>
3. Strong programming skills in Python, or other languages commonly used in AI development.<br>
4. Substantial knowledge of AI, machine learning, and deep learning<br>
5. Experience with AI platforms like PyTorch or TensorFlow<br>
6. Experience with building large-scale and/or compute-intensive applications on clusters for data engineering, model training and evaluation (HPC, Spark, Kubernetes)<br>
7. Understanding of software development principles and methodologies, including data structures, data modeling and software architecture.<br>
8. Excellent problem-solving skills and ability to work in a team environment.<br>
9. Excellent communication skills, both verbal and written.</p>
<p><b>
Preferred Qualifications:</b><br>
1. Masters degree in computer science, data science, software engineering, or a related quantitative discipline<br>
2. 3-5 years of hands-on experience in AI Solution development<br>
3. Basic understanding of at least one cloud (Azure, AWS, GCP) and cloud native development tools, and experience using their AI / ML toolchain</p>
<p><i>
Qualified candidates must be able to effectively communicate with all levels of the organization.</i>
<br>
<br>
NYU Grossman School of Medicine provides its staff with far more than just a place to work. Rather, we are an institution you can be proud of, an institution where you'll feel good about devoting your time and your talents. At NYU Langone Health, we are committed to supporting our workforce and their loved ones with a comprehensive benefits and wellness package. Our offerings provide a robust support system for any stage of life, whether it's developing your career, starting a family, or saving for retirement. The support employees receive goes beyond a standard benefit offering, where employees have access to financial security benefits, a generous time-off program and employee resources groups for peer support. Additionally, all employees have access to our holistic employee wellness program, which focuses on seven key areas of well-being: physical, mental, nutritional, sleep, social, financial, and preventive care. The benefits and wellness package is designed to allow you to focus on what truly matters. Join us and experience the extensive resources and services designed to enhance your overall quality of life for you and your family.
<br>
<br>
NYU Grossman School of Medicine is an equal opportunity employer and committed to inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration. We require applications to be completed online.
<br>
<br>
View Know Your Rights: Workplace discrimination is illegal.</p>
<p>
NYU Langone Health provides a salary range to comply with the New York state Law on Salary Transparency in Job Advertisements. The salary range for the role is $84,577.92 - $126,000.00 Annually. Actual salaries depend on a variety of factors, including experience, specialty, education, and hospital need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits.</p>
<p>
To view the Pay Transparency Notice, please click here</p></div>

Machine Learning Engineer

Wells Fargo

<div><p>At Wells Fargo, we want to satisfy our customers&rsquo; financial needs and help them succeed financially. We&rsquo;re looking for talented people who will put our customers at the center of everything we do.</p><p></p><p>
Help us build a better Wells Fargo. It all begins with outstanding talent. It all begins with you.</p><p></p><p><b>
Wells Fargo Technology </b>sets IT strategy; enhances the design, development, and operations of our systems; optimizes the Wells Fargo infrastructure footprint; provides information security; and enables continuous banking access through in-store, online, ATM, and other channels to Wells Fargo&rsquo;s more than 70 million global customers.</p><p></p><p>
Wells Fargo Bank N.A. seeks a <b>Lead Quantitative Analytics Specialist</b> in New York, NY.</p><p></p><p><b>
Job Role and Responsibility:
</b></p><p>Lead complex initiatives including creation, implementation, documentation, validation, articulation and defense, of highly statistical theory. Qualify monitor markets and forecast credit and operational risks. Strategize short and long-term objectives, and provide analytical support for a wide array of business initiatives. Utilize stochastic, structured securities, spread analysis, with the expertise in the theory and mathematics behind the analysis. Review and assess models inclusive of technical, audit, and market perspectives. Identify structure and scope of review. Enable decision making for product and marketing with broad impact and act as key participant to develop and document analytical models. Collaborate and consult with regulators and auditors. Present results of analysis and strategies. Design, develop, and deploy AI/ML models using state of the art techniques available in the open stack (Python/PySpark/PyTorch) and/or vendor solutions. Partner with LOB leads to frame the problem, explore various ML/DL model architectures and methodologies, generate required artifacts related to model development life cycle (MDLC), author the model development document, and deliver AI models that meet business needs. Adhere to corporate model risk policy and ensure compliance with model risk management. Working with other data science teams to identify, gather, retain, and publicize modeling artifacts required for approved and repeatable processes. Work with AI technology and production teams to operationalize models. Work effectively in an agile project management methodologies for data science. Knowledge sharing with members of the team and across the organization on topics including machine learning algorithms, hyper-parameter tuning/search, and traversing across multiple big data platforms. Contribute to the CoE data science team's group effort to stay current with the cutting edge NLP/ML/DL algorithms, methodologies in the open source community and vendor solutions. Remote/telecommute work available, up to 2 days a week. Position required to appear in person at the location listed as the work address.</p><p></p><p><b>
Travel required:</b> 0%</p><p></p><p><b>
Required Qualifications</b>:</p><p></p><p><b>
Degree required: </b>Master's degree in Civil Engineering, Mathematics, Statistics, or related quantitative field.</p><p></p><p><b>
Amount and type of experience required: </b>Five (5) years of experience in the job offered or in a relation position involving quantitative analytics experience.</p><p></p><p><b>
Specific skills required:
</b></p><ul><li>Five (5) years of statistical modeling experience;</li><li>Experience with Machine Learning;</li><li>Experience with Natural Language Processing (NLP);</li><li>Experience with Python;</li><li>Experience with Spark;</li><li>Experience with SQL; and</li><li>Hadoop/Big Data experience.</li></ul><p></p><p>
Salary: $191,000 - $305,000</p><p></p><p><b>
Pay Range</b></p><p><br>
Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to demonstrated examples of prior performance, skills, experience, or work location. Employees may also be eligible for incentive opportunities.</p>
$0.00 - $0.00<p></p><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><p><b>
Benefits
</b></p><p></p><p>Wells Fargo provides eligible employees with a comprehensive set of benefits, many of which are listed below. Visit Benefits - Wells Fargo Jobs for an overview of the following benefit plans and programs offered to employees.</p><ul><li>
Health benefits</li><li>
401(k) Plan</li><li>
Paid time off</li><li>
Disability benefits</li><li>
Life insurance, critical illness insurance, and accident insurance</li><li>
Parental leave</li><li>
Critical caregiving leave</li><li>
Discounts and savings</li><li>
Commuter benefits</li><li>
Tuition reimbursement</li><li>
Scholarships for dependent children</li><li>
Adoption reimbursement</li></ul></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div><p></p><p><b>
Posting End Date:</b></p><p></p>
6 Jul 2026<ul><li><b><i>Job posting may come down early due to volume of applicants.</i></b></li></ul><p></p><p><b>
We Value Equal Opportunity</b></p><p></p><p>
Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.</p><p></p><p>
Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit&rsquo;s risk appetite and all risk and compliance program requirements.</p><p></p><p><b>
Applicants with Disabilities</b></p><p></p><p>
To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo.</p><p></p><p><b>
Drug and Alcohol Policy</b></p><p></p><p><br>
Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.</p><p></p><p><b>
Wells Fargo Recruitment and Hiring Requirements:</b></p><p></p><p>
a. Third-Party recordings are prohibited unless authorized by Wells Fargo.</p><p>
b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.</p></div><p></p>

Lead Quantitative Analytics Specialist (#001756)

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