ai ml developer

Amivero

<div>
 <strong>
  Amivero Team
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 </strong>
 Amivero&rsquo;s team of IT professionals delivers digital services that elevate the federal government, whether national security or improved government services. Our human-centered, data-driven approach is focused on truly understanding the environment and the challenge and reimagining with our customer how outcomes can be achieved.
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 Our team of technologists leverage modern, agile methods to design and develop equitable, accessible, and innovative data and software services that impact hundreds of millions of people.
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 As a member of the Amivero team you will use your empathy for a customer&rsquo;s situation, your passion for service, your energy for solutioning, and your bias towards action to bring modernization to very important, mission-critical, and public service government IT systems.
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  Special Requirements
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   US Citizenship Required to obtain Public Trust
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   Active DHS Clearance (preferred)
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   Bachelor Degree + 10 years of experience
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   3+ years of experience developing and optimizing solutions using Python or similar, with a strong focus on performance, scalability, and efficiency
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   Extensive experience working with vector technology databases, designing and implementing solutions to efficiently store, search, and analyze high-dimensional data for real-time and large-scale applications
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 <strong>
  The Gist&hellip;
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 The AI/ML Engineer designs, develops, trains, and deploys machine learning models to support predictive analytics, anomaly detection, and decision-support capabilities. This role integrates AI/ML solutions into operational workflows, collaborating with data, product, and engineering teams to ensure models are effective, scalable, and aligned with organizational objectives.
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 <ul>
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   Design, develop, and deploy machine learning models to support predictive analytics, anomaly detection, and decision-support tools.
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   Integrate AI/ML solutions into operational systems and workflows to enhance automation and efficiency.
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   Create and fine-tune algorithms for various tasks such as classification, regression, clustering, and recommendation systems.
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   Preprocess, clean, and transform data to ensure high-quality inputs for model training.
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   Develop models leveraging advanced machine learning techniques, including deep learning, reinforcement learning, and natural language processing.
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   Build and maintain scalable and efficient data pipelines using Databricks and Hadoop/Cloudera.
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   Implement ETL processes to clean, prepare, and transform large datasets for analysis and modeling.
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   Ensure data integrity and quality throughout the data lifecycle.
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   Evaluate model performance using appropriate metrics and implement improvements as needed.
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   Collaborate with data engineers, product managers, and developers to align AI/ML solutions with program goals.
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   Implement best practices for model versioning, deployment, monitoring, and retraining.
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   Ensure compliance with data privacy, security, and regulatory standards in AI/ML workflows.
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   Document model design, assumptions, data sources, and performance results.
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   Stay current with emerging AI/ML technologies, frameworks, and research to enhance solutions.
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   Mentor junior team members and contribute to knowledge sharing in AI/ML development practices.
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   Bachelor&rsquo;s degree in Computer Science, Data Science, Artificial Intelligence, or a related field; a master&rsquo;s degree preferred.
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   A bachelor&rsquo;s degree with an additional three (3) or more years of relevant experience may substitute for a master&rsquo;s degree.
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   Minimum of five (5) years of directly related experience in AI/ML development, data science, or applied analytics.
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   Hands-on experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
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   Strong programming skills in Python, Java, or R; experience with APIs and integration into production systems.
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   Knowledge of data preprocessing, feature engineering, model evaluation, and deployment pipelines.
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   Familiarity with cloud platforms (AWS, Azure, GCP) for AI/ML workloads.
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   Excellent analytical, problem-solving, and critical-thinking skills.
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   Strong communication and collaboration skills, with the ability to work with cross-functional teams.
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   Experience mentoring or guiding less experienced AI/ML engineers is a plus.
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  </li>
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 EOE/M/F/VET/DISABLED
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 All qualified applicants will receive consideration without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state and local laws. Amivero complies with applicable state and local laws governing non-discrimination in employment in every location in which the company has facilities.
</div>


AI/ML Developer

Catalyst Labs

<div>
 <strong>
  About The Job ML Engineer
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  <br/>
 </strong>
 <strong>
  Our Client
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 </strong>
 Is a rapidly growing Tier 1 VC backed startup based in New York with $60 million in funding revolutionizing how outside sales and service teams work. Their AI technology captures and analyzes real-world conversations, providing full visibility into every customer interaction without the need for traditional ride-alongs.
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 <br/>
 By turning field conversations into searchable, actionable data, they empower teams to coach more effectively, close more deals, and boost average ticket sizes. Combining cutting-edge AI with a deep understanding of field sales dynamics, this company is redefining how businesses learn from and optimize their in-person customer experiences.
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 <br/>
 <strong>
  About Us
  <br/>
  <br/>
 </strong>
 Catalyst Labs is a leading talent agency with a specialized vertical in Applied AI, Machine Learning, and Data Science. We stand out as an agency that&rsquo;s deeply embedded in our clients&rsquo; recruitment operations.
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 We collaborate directly with Founders, CTOs, and Heads of AI in those themes who are driving the next wave of applied intelligence from model optimization to productized AI workflows. We take pride in facilitating conversations that align with your technical expertise, creative problem-solving mindset, and long-term growth trajectory in the evolving world of intelligent systems.
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 <strong>
  Location
 </strong>
 : New York, NY
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 <strong>
  Work type
 </strong>
 : Full Time,
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  Compensation
 </strong>
 : above market base + bonus + equity
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  Roles &amp; Responsibilities
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 </strong>
 <ul>
  <li>
   Design, build, and deploy production-grade ML systems with end-to-end ownership of the model lifecyclefrom conception to deployment and maintenance.
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   Architect and deliver AI-powered solutions enabling natural speech interaction and real-time audio understanding.
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   Develop and optimize ML models focused on audio data to extract business-critical insights from previously unstructured voice data.
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   Build agents capable of operating natively on real-world audio inputs.
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   Collaborate with cross-functional teams to shape the foundations of the AI stack, improve tooling, and drive innovation in LLM and audio ML applications.
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   Work directly with customers to identify needs, gather feedback, and deliver impactful real-world solutions.
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   Handle the entire AI lifecycle, including data acquisition, preprocessing, model training, deployment, inference, and monitoring in production environments.
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   Participate in continuous improvement of the ML infrastructure and processes for scalability and performance.
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  </li>
 </ul>
 <strong>
  Qualifications
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 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
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   1-6 years of professional experience in ML engineering.
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   Strong programming skills in Python (TypeScript experience is a plus).
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   Hands-on experience with ML frameworks such as PyTorch or TensorFlow.
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   Familiarity with cloud environments and infrastructure (preferably AWS).
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   Strong understanding of data pipeline design, real-time inference, and model monitoring.
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   Excellent communication skills with the ability to engage directly with customers and stakeholders.
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  </li>
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  Core Experience
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 </strong>
 <ul>
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   Proven experience building and deploying ML models into production environments.
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   Demonstrated ability to own the full model lifecyclefrom data ingestion and model development to deployment and monitoring.
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   Experience with audio-focused ML projects or similar domains involving unstructured data.
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   Proficiency in building scalable data pipelines for model training and evaluation.
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   Familiarity with FastAPI, OpenAI APIs, Baseten, LiteLLM, LiveKit, PostgreSQL, Redis, and S3 is a plus.
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   Solid grasp of ML systems architecture, feature engineering, evaluation strategies, and deployment best practices.
  </li>
 </ul>
</div>


ML Engineer

Makpar Corporation

<div><div><div><b>Who we are:</b></div><div></div><div><br>
Makpar is a comprehensive professional and technical solutions provider for the Federal government. We combine functional and technical expertise in cloud engineering, data management, cybersecurity and emerging technologies to deliver mission success. We build the right IT solution for government clients by partnering with them to understand their WHAT, WHY, and HOW. Using our signature consulting methodology that we call &ldquo;The Makpar Way,&rdquo; we help agencies navigate the ongoing changes in the Federal technology landscape. We succeed where others fail because of our connected and engaged workforce are dedicated to delivering success for our clients and the American people.<br>
</div><div></div><br>
<div>Our Mission: We solve complex problems for the Federal government to accelerate access to citizen services.</div><div></div><div><br>
When it comes to excellence, we deliver. Learn more about our employer brand at makpar.com/careers.</div><div></div><div><p><br>
Makpar has an exciting opportunity for a Senior Data Scientist. The Senior Data Scientist will support enterprise data and analytics initiatives. This role requires expertise in <b>AI/ML development, Python, and advanced analytics </b>to guide teams and deliver enterprise-level analytics solutions. requirements.</p>
</div></div>
<div><div><h3 class="jobSectionHeader"><b>Key Responsibilities:</b></h3><div><div><div>
<ul><li>Provide <b>technical leadership </b>on analytics and AI/ML solutions.</li>
<li>Develop and deploy <b>machine learning models and predictive analytics</b>.</li>
<li>Use <b>Python, Anaconda, and Jupyter notebooks </b>for modeling and prototyping.</li>
<li>Collaborate with Data Engineers to integrate models with <b>data pipelines</b>.</li>
<li>Support <b>data governance </b>activities (tagging, metadata management, sharing).</li>
<li>Develop <b>RPA solutions </b>to automate business processes.</li>
<li>Evaluate analytics products to ensure alignment with mission objectives.</li>
<li>Communicate findings through dashboards, visualizations, and technical reports.</li>
</ul></div></div></div></div></div><div><div><h3 class="jobSectionHeader"><b>Qualifications</b></h3><div><div><div>
<ul><li>Active <b>Secret clearance </b>(required).</li>
<li>Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Computer Science, Mathematics, or related field.</li>
<li>7+ years of professional experience in <b>data science and AI/ML</b>.</li>
<li>Strong expertise in <b>Python, Jupyter, and Anaconda</b>.</li>
<li>Proficiency in <b>AI/ML frameworks </b>(TensorFlow, PyTorch, Scikit-learn).</li>
<li>Experience with <b>RPA tools </b>(UiPath, Automation Anywhere, or Python-based).</li>
<li>Familiarity with <b>Databricks, Apache Spark, and SQL</b>.</li>
<li>Excellent communication and stakeholder engagement skills.</li>
</ul></div></div></div></div></div><div><div><h3 class="jobSectionHeader"><b>Clearance Requirement</b></h3><div><div><div>
<ul><li>Active <b>Secret clearance </b>(required).</li>
</ul></div></div></div></div></div><div><div><b>Benefits:</b></div><div></div><div><br>
At Makpar Corporation we understand that we all need to balance work and life &ndash; that is why we have a great benefits package, excellent training and career development opportunities, flexible work schedules along with a generous compensation package. At Makpar, we believe in keeping our employees happy, healthy and engaged. We pride ourselves in providing outstanding benefits, creating environments where employees are encouraged to be themselves, collaborate, and be inquisitive in order to achieve goals.</div><div></div><div><br>
Start your career today and be a part of something meaningful!</div><div></div><div><br>
Makpar is an Equal Opportunity Employer.</div></div>
<div><div>We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</div></div></div>

Senior Data Scientist

RAND Corporation

<div><p><b>Job Type:
</b></p>Term (Fixed Term)<p></p><div><div>
Job Description</div></div><div><div><div><div><div><div><div><div><div><p><b>
Overview</b></p><p>
RAND&rsquo;s Center on AI, Security, and Technology (CAST), part of the Global and Emerging Risks (GER) Division conducts cutting-edge research on transformative, high-impact technologies&mdash;including artificial intelligence and biotechnology&mdash;to shape policies that protect global security and advance the public good.</p><p></p><p>
Your work will address key questions related to securing AI systems, understanding their cyber capabilities, and examining their policy implications. You will be responsible for leading complex projects that span technical research, policy analysis, and infrastructure development. For example, you might lead projects to develop AI-specific threat models, build software tools for AI cyber capability evaluations, or identify critical areas for new security R&amp;D. Your work will inform analysis delivered to senior government and industry leaders.</p><p></p><p>
You will communicate the results of your work to both technical and non-technical audiences through quick-turnaround policy briefs and detailed written research products. A recent example of one of our research products is the Securing AI Model Weights report, which explored protecting frontier AI models from theft and misuse.</p><p></p><p>
This position is structured as a three-year appointment with options to renew and explore opportunities for longer-term employment at RAND thereafter.</p><p></p><p>
RAND's reputation for excellence is built on our commitment to high-quality, rigorous analysis and objectivity. As an Associate AI Security Resident, you'll maintain that excellence while engaging with some of the most pressing challenges of our time.</p><p></p><p><b>
Qualifications</b></p><p>
All research positions at RAND require excellent analytic skills; the ability to communicate clearly and effectively, both orally and in writing; the ability to work effectively as a member of a multi-disciplinary team; and a strong commitment to RAND's core values of quality and objectivity.</p><p></p><p><i>
Required:</i></p><ul><li><p>
Technical experience in security engineering, software engineering, firmware engineering, hardware engineering, or related fields</p></li><li><p>
Technical management experience, including leading cross-functional teams, managing project budgets, and mentoring and developing team members</p></li><li><p>
Demonstrated ability to successfully lead complex projects to completion</p></li><li><p>
Proficiency in Python, Java, C/C++, or other popular programming languages</p></li><li><p>
Ability to develop rigorous and comprehensive threat models and identify potential system vulnerabilities</p></li><li><p>
Excellent communication skills, both written and verbal, tailored to technical and non-technical audiences</p></li><li><p>
Ability to reason about policy options given different technical considerations</p></li><li><p>
Ability to work effectively in a collaborative, multidisciplinary environment</p></li><li><p>
Fluency with MS Office suite</p></li></ul><p></p><p><i>
Preferred:</i></p><ul><li><p>
Graduate of the Computer Network Operations Development Program (CNODP), Remote Interactive Operator Training (RIOT), Future Operator Readiness Growth and Enrichment (FORGE), or equivalent experience</p></li><li><p>
Experience with red team operations or offensive cyber capabilities development</p></li><li><p>
Understanding of advanced persistent threat (APT) tactics, techniques, and procedures (TTPs) and experience with defending against them</p></li><li><p>
Ability to think creatively about offensive and/or defensive techniques and strategies, beyond compliance with existing regulations</p></li><li><p>
Familiarity with U.S. cybersecurity agencies, authorities, and policy development processes</p></li><li><p>
Experience working in or with government on cybersecurity policy</p></li><li><p>
Experience with advising non-technical stakeholders on security topics</p></li><li><p>
Familiarity with the AI/ML hardware stack (e.g., GPUs, TPUs, data center design)</p></li><li><p>
Familiarity with the AI/ML software stack (e.g., CUDA, PyTorch, TensorFlow, Ray)</p></li><li><p>
Experience working on AI research, ML model training, or model deployment</p></li><li><p>
Experience with securing AI systems</p></li></ul><p></p><p><b>
Education Requirements</b></p><p>
RAND is hiring multiple Visiting AI Security Residents at associate I and associate II levels of experience. Minimum education requirements at the associate I level include:</p><p></p><p>
A BS in Computer Science, Computer Engineering, Electrical Engineering, Cybersecurity, Information Security, Information Technology, Mathematics, Applied Mathematics, Physics, Applied Physics, Engineering Physics, Artificial Intelligence, Machine Learning, Engineering and Public Policy, Technology and Policy, National Security Policy, Policy Analysis, Political Science, International Relations, or similar AND 1 year AI-focused real-world experience is required.</p><p>
OR</p><p>
A Master&rsquo;s degree in the fields listed above is required.</p><p></p><p><b>
Security Clearance</b></p><p>
Ability to obtain and maintain a U.S. government clearance is preferred but not required.</p><p></p><p><b>
Location</b></p><p>
We are hiring for this position in San Francisco, CA, Washington, DC; Santa Monica, CA; Pittsburgh, PA; and Boston, MA. We offer a hybrid work arrangement, combining work from home and on-site options. Fully remote work within the US, along with US visa support, will also be considered.</p><p></p><p><b>
Writing or Code Sample</b></p><p>
Either a writing sample or a code sample is required for this position. This sample can use a recent, previously written paper or technical report (e.g., journal article, master&rsquo;s thesis or paper written for coursework, research project, technical analysis, briefings), or source code showing technical expertise in relevant domains.</p><p></p><p><b>
Term</b></p><p>
This position is a three-year term appointment with a possibility of renewal, alongside options for longer term employment.</p><p></p><p><b>
Salary Range:</b><b>
</b></p><p>Visiting Technical Associate I = $90,400 - $134,400</p><p>
Visiting Technical Associate II = $121,700 - $176,500</p><p></p><p>
RAND considers a variety of factors when formulating an offer, including but not limited to, the specific role and associated responsibilities; a candidate&rsquo;s work experience, education/training, skills, expertise; and internal equity. Successful candidates will be offered employment in a specific title, as determined by the candidate&rsquo;s education and experience. The salary range includes base pay plus RAND&rsquo;s sabbatic pay (which provides additional compensation above base pay when vacation is taken). In addition, RAND provides strong benefits including health insurance coverage, life and disability insurance, savings plan, paid time-off and more.</p><p></p><div>
#LI-DNI</div></div></div></div></div></div></div></div></div></div><p></p><p><i>
Equal Opportunity Employer</i></p></div>

Associate AI Security Resident

Resilience

<div><div><p><b>About Us</b></p>
<p>
At Resilience, we're creating a new category that integrates cybersecurity, cyber insurance, and cyber risk management. Founded in 2016 by experts from across the highest tiers of the US military and intelligence communities &ndash; and built by prominent leaders and innovators from the insurance, technology, and cybersecurity industries &ndash; Resilience is rewriting the rules of how cyber risk is assessed, measured, and managed.</p>
<p>
Our integrated cyber risk solutions connect risk quantification software, cybersecurity experts, and A+ rated cyber insurance, all purpose-built for middle and large organizations. We are a cybersecurity company, a Cyber and Tech E&amp;O-focused MGA, a fintech startup, and a data science powerhouse, all purposefully built into one.</p>
<p>
Resilience is proud to be backed by leading technology investment firms, including General Catalyst, Lightspeed Venture Partners, Intact Ventures, Founders Fund, CRV, and Shield Capital.</p></div><div><b>
The Hook: Why this role matters now</b></div>
<div>Step into a critical role to build, defend, and scale the security posture of our category-defining SaaS platform and internal corporate systems. As a Security Engineer, you won't just monitor alerts or patch vulnerabilities; you will take complete ownership of engineering proactive guardrails, automating incident response workflows, and securing emerging technologies like AI and machine learning. Operating at the highly collaborative intersection of Security, IT, and DevOps, you will aggressively dig into legacy processes to architect permanent, automated fixes rather than applying temporary patches.</div>
<div></div>
<div><b>The Mission: What you will achieve in the first 6 months</b></div>
<div>In your first six months, you will take full accountability for designing and maintaining automated response playbooks using orchestration workflows (e.g., n8n, Tines, or XSOAR) to heavily reduce manual intervention. You will pioneer our agentic security engineering efforts by developing custom SecOps applications and autonomous workflows that seamlessly triage alerts and accelerate our defense capabilities. Furthermore, you will completely own cloud infrastructure security by implementing &quot;Infrastructure as Code&quot; (Terraform) across our multi-cloud footprint (AWS/GCP), while establishing robust security guardrails for AI platforms and developer tools to mitigate risks like prompt injection and data leakage.</div>
<div></div>
<div><b>The Toolkit:</b></div>
<ul><li>4+ years of experience in a Security Engineering, DevSecOps, or high-level SecOps role. You must possess a relentless automation mindset with proven ability in Python, Go, or low-code orchestration platforms.
</li><li>You need hands-on proficiency securing AWS or GCP services (IAM, WAF/ALB, Fargate/Lambda), deep experience with Infrastructure as Code (Terraform/CloudFormation/Pulumi) within a Git-based CI/CD workflow, and practical experience using agentic AI tools (e.g., Cursor, Claude Code, GitHub Copilot) to accelerate code development and security auditing.</li>
<li>Experience securing &quot;Agentic&quot; developer tools and AI coding assistants, with a practical understanding of governing model traffic via AI Gateways and the Model Context Protocol (MCP).
</li><li>Familiarity with container security, zero-trust networking (Zscaler), EDR (Crowdstrike/SentinelOne), and managing endpoint security profiles (MDM/JAMF).</li>
</ul><div><b>The Culture: How we work</b></div>
<div>We move fast, operate with zero ego, and embrace a bias to action. You will work cross-functionally alongside DevOps and IT to seamlessly balance rigorous security requirements with developer velocity.</div><div><p><b>
What Resilience Offers You</b></p>
<p>
Innovative company culture</p>
<p>
Flexible work schedules</p>
<p>
Family paid leave</p>
<p>
Paid healthcare for employees</p>
<p>
401k/Pension</p>
<p>
Professional development &amp; career advancements</p>
<p>
Flexible paid time off</p>
<p>
Employee referral bonus</p>
<p><b>
Accommodations and Accessibility</b></p>
<p>
We want to ensure you're able to perform as well as possible in your interview. As part of that, if you have any accessibility-related needs to ensure a comfortable visit, please let us know. We'll do our best to provide reasonable accommodations to suit your working style during your interview and if you join our team.</p>
<p>
If you require a reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please let your recruiter contact know.</p>
<p><b>
Beware of Job Scams</b></p>
<p>
Resilience is excited to welcome talented individuals to explore career opportunities with us. However, we urge you to stay vigilant against recruitment scams where fraudsters may impersonate our company. We will never ask for payments, conduct interviews via chat rooms, or contact candidates from personal email accounts. All job applications must be submitted through our official platform at greenhouse.io , and interviews will only take place via approved Resilience accounts. If you receive suspicious outreach or have concerns, please let your recruiter contact know. Thank you for helping us maintain a safe and secure recruitment process.</p></div></div>

Security Engineer

HiddenLayer

<div><p><b>Data Scientist</b></p>
<p>
Remote [within the US]</p>
<p><b>
ABOUT THE ROLE:</b></p>
<p>
We're looking for a Data Scientist to join our Data Sciences and ML Engineering team. You'll be building, shipping, and improving the models and LLM-powered systems that sit at the core of our security products &mdash; the pieces that make the difference between a tool that flags noise and one that helps defenders find what matters.</p>
<p>
This is a hands-on role on a small, focused team. You'll have real ownership over the models and pipelines you build, close collaboration with engineering and product, and the runway to go deep on the hard problems.</p>
<p><b>
WHO WE ARE:</b></p>
<p>
HiddenLayer protects the world's most valuable technologies from adversarial AI attacks. We were founded by AI professionals and security specialists with first-hand experience of how insidious adversarial AI attacks can be to detect and defend against. Determined to prove that these attacks were preventable, the team developed a unique, patent-pending, productized solution to support organizations in accelerating their adoption of AI securely.</p>
<p>
Our dedication to innovation has been recognized by prestigious awards such as RSA's Innovation Sandbox Winner, CB Insights AI 100, CyberTech 100, and SC's Most Promising Early-Stage Start-up.</p>
<p><b>
WHAT YOU'LL DO:</b></p>
<p>
Security is a domain where the adversary is adaptive, the signal is rare, and the cost of a miss is real. That makes for interesting modeling problems &mdash; ones where off-the-shelf approaches rarely carry you the whole way, and where careful research, solid experimentation, and production rigor each matter for our success.</p>
<p>
Your work will span a few areas:</p>
<ul>
<li><b>Model development and research.</b> Building classifiers, detectors, and scoring models on messy, high-stakes security data. Designing experiments, evaluating trade-offs, and iterating on architectures &mdash; not just hyperparameters.</li>
<li><b>LLM agent systems.</b> Shaping the prompts, context, tool-use patterns, and supporting content that drive our LLM agents.</li>
<li><b>Production delivery.</b> Shipping models behind real traffic, monitoring them, and improving them over time.</li>
<li><b>Evaluation and iteration.</b> Building the evaluation harnesses and feedback loops that let us know whether a change is actually an improvement &mdash; often the hardest part of the work. Our models only improve for customers when our evaluations highlight what really matters.</li>
</ul>
<p><b>WHO YOU ARE:</b></p>
<p><b>
Production experience is the single most important thing.</b> We'd like to see around 3&ndash;4+ years of experience delivering models into production environments where they've had to perform, be maintained, and evolve. That's the background that tends to set people up for success here.</p>
<p>
Beyond that:</p>
<ul>
<li><b>Depth in ML fundamentals.</b> You understand model architectures and can reason about why a given approach is or isn't a good fit for a problem. You've moved well past treating models as black boxes and past tuning that stops at sample weights and decision thresholds.</li>
<li><b>Willingness to experiment.</b> You're comfortable trying genuinely novel approaches when the standard playbook runs out, and you can tell the difference between a promising result and a fragile one.</li>
<li><b>Strong engineering instincts.</b> Your code is something teammates can read, extend, and trust in production. You think about reproducibility, testing, and handoff &mdash; not just whether something runs on your laptop.</li>
<li><b>Experience with LLMs in practice.</b> You've worked with LLM-based systems in some real capacity &mdash; prompting, context design, tool use, evaluation, or fine-tuning &mdash; and have opinions shaped by actually shipping things.</li>
<li><b>Comfort with ambiguity.</b> Security problems rarely come with clean labels or clean data. You're able to frame problems, scope them, and make progress without a fully paved path. You'll help highlight ambiguity and reason about how to make progress even when humans don't all agree on one single answer.</li>
<li><b>An advanced degree (MS or PhD) in a technical discipline.</b> This doesn't have to be in data science or ML specifically &mdash; strong backgrounds in CS, statistics, physics, math, engineering, and related fields are all welcome. Your on-the-job experience is what matters the most.</li>
</ul>
<p>We want to be upfront about research and publications: while we're supportive of engagement with the broader research community, our team's focus is firmly on shipping. Publishing papers and attending conferences can absolutely happen, but they aren't the center of gravity of the role. If your primary goal is academic output, this probably isn't the best fit &mdash; and we'd rather say that clearly than have it be a surprise.</p>
<p><b>
WHY HIDDENLAYER?</b></p>
<p>
We're moving at (what feels like) the speed of light. HiddenLayer is a venture-backed company and recently closed a $50M funding round led by M12, Microsoft's Venture Fund, and Moore Strategic Ventures.</p>
<p>
Attracting and retaining the very best people is our #1 priority. That's why we offer our team best-in-class benefits, including:</p>
<ul>
<li><b>Fully Remote:</b> We are a completely remote global team. Though we're distributed, we are intentional about getting the team together a couple of times a year. We offer a generous stipend for your home office setup, annual upgrades to ensure you have a comfortable workspace and a monthly stipend for internet/phone expenses.</li>
<li><b>Comprehensive Health &amp; Wellness Benefits:</b> Better than your average startup healthcare benefits. With five options to choose from, of which are fully subsidized by HiddenLayer, we offer a variety of options to fit each person's needs. We also offer vision, dental, and 401k offerings.</li>
<li><b>Flexible Time Off:</b> Enjoy unlimited and flexible time off for all salaried employees, in addition to 15 paid company holidays.</li>
<li><b>Commitment to Learning and Development:</b> We support personal growth and education through a dedicated L&amp;D fund that can be used for training, conferences, certifications and industry events.</li>
<li><b>Diversity, Equity, and Inclusion:</b> We are committed to building a diverse team with individuals from various backgrounds, experiences, abilities, and perspectives, and we are proud to be an equal opportunity employer.</li>
</ul>
<p>To learn more about HiddenLayer visit HiddenLayer and follow us on LinkedIn or Twitter.</p>
<p>
HiddenLayer is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, race, color, religion, national origin, age, marital status, political affiliation, sexual orientation, gender identity, genetic information, disability or protected veteran status. We are committed to providing a workplace free of any discrimination or harassment.</p></div>

Data Scientist

Information Technology Senior Management Forum

<div><div><p>Posted Date</p>
<p>4/28/2026</p>
</div><div><p>Description</p>
<div><p>Playing an essential role in the U.S. economy, Fannie Mae is foundational to housing finance. Here, your expertise can help fuel purpose-driven innovation that expands access to homeownership and affordable rental housing across the country. Join Fannie Mae to grow your career and help people find a place to call home.</p><p>
Job Description</p><p>
As a senior leader within the Digital Marketing and Technology team, you will build and scale a modern, AI-enabled marketing analytics function that drives enterprise decision-making. You will transform how marketing performance is measured, understood, and acted on&mdash;serving as a strategic partner to marketing, business, and technology leaders.</p><p>
You will own the vision, strategy, and execution of marketing data and analytics - elevating it into a proactive, insight-driven function that shapes business outcomes.</p><p><b>
THE IMPACT YOU WILL MAKE</b></p><p>
The Marketing Data and Analytics Senior Manager role will offer you the flexibility to make each day your own while working alongside people who care so that you can deliver on the following responsibilities:</p><ul><li><b>
Build and lead a high-impact analytics function</b><br>
Develop and scale a best-in-class team, operating model, and roadmap that positions data and analytics as core drivers of marketing and business strategy.</li><li><b>
Drive executive decision-making through data and storytelling</b><br>
Translate complex analyses into clear, compelling narratives and recommendations; confidently present insights to senior leadership and influence enterprise priorities.</li><li><b>
Embed AI and advanced analytics into marketing</b><br>
Develop and apply predictive models, segmentation, CLV frameworks, and AI/ML-driven approaches to improve targeting, personalization, and performance.</li><li><b>
Own performance measurement and optimization</b><br>
Lead digital analytics, experimentation, SEO, and on-site search measurement - connecting insights across the customer journey to drive continuous optimization.</li><li><b>
Deliver scalable insights and self-service capabilities</b><br>
Design KPI frameworks, dashboards, and reporting that simplify complexity, accelerate decisions, and enable broader access to insights.</li><li><b>
Partner across the enterprise to enable data-driven marketing</b><br>
Collaborate with Marketing, Product, and Technology teams as well as our vendors and media agency to improve data quality, governance, and infrastructure readiness for advanced analytics and AI use cases.</li><li><b>
Drive organizational change</b><br>
Champion a data- and AI-driven culture; influence stakeholders across a large, complex organization to adopt new ways of working.</li></ul><p><b>
THE EXPERIENCE YOU BRING TO THE TEAM</b></p><p><b>
Minimum Required Experiences
</b></p><ul><li>6 years of experience in marketing analytics, data strategy, or measurement.</li><li>
Prior experience having built, scaled, and led a marketing analytics function in a complex large organization.</li><li>
Executive presence; able to influence and communicate with senior leaders.</li><li>
Marketing analytics expertise: A/B testing, segmentation, forecasting, measurement frameworks.</li><li>
Hands-on skills with Python or R, and BI/web analytics tools (e.g., Tableau, Power BI, Data Studio, or Google Analytics).</li><li>
Experience applying AI/ML to marketing use cases with measurable impact.</li><li>
Experience with relational databases, including SQL development, data modeling, and query optimization.</li><li>
Experience working with multiple, large unstructured datasets to drive actions that improve marketing performance.</li><li>
Marketing funnel/customer journey and omnichannel measurement (including search, web, email, paid media) experience.</li><li>
At least 3+ years of people managing experience, managing 3 or more direct reports.</li><li>
Shows curiosity and adaptability in learning and responsibly applying new technologies, including artificial intelligence, to reimagine how we work.</li></ul><p><b>
Desired Experiences
</b></p><ul><li>Bachelor&rsquo;s degree or equivalent</li></ul><p>
Marketing &ndash; Data Strategy &ndash; Senior Manager</p><p>
#LI-Hybrid</p><p>
Qualifications</p><p>
Education:</p>
Bachelor's Level Degree (Required)<p>
The future is what you make it to be. Discover compelling opportunities at Fanniemae.com/careers.</p><p>
For most roles, employees are expected to work onsite on a regular basis at their designated office location. In-office work cadence is determined by your manager. Proximity within a reasonable commute to your designated office location is preferred unless the job is noted as open to remote.</p><p>
Fannie Mae is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, religion, sex, national origin, disability, age, sexual orientation, gender identity/gender expression, marital or parental status, or any other protected factor. Fannie Mae is committed to providing reasonable accommodations to qualified individuals with disabilities who are employees or applicants for employment, unless to do so would cause undue hardship to the company. If you need assistance using our online system and/or you need a reasonable accommodation related to the hiring/application process, please complete this form.</p><p>
The hiring range for this role is set forth below. Final salaries will generally vary within that range based on factors that include but are not limited to, skill set, depth of experience, certifications, and other relevant qualifications. This position is eligible to participate in a Fannie Mae incentive program (subject to the terms of the program). As part of our comprehensive benefits package, Fannie Mae offers a broad range of Health, Life, Voluntary Lifestyle, and other benefits and perks that enhance an employee's physical, mental, emotional, and financial well-being. See more here.</p><p>
Requisition compensation:</p>
155000<p>
to</p>
209000</div>
</div><div><p>Salary</p><p>
155,000.00 - 209,000.00 Annual</p>
</div><div></div><div><div><p>Type</p><div><p>
Full-time</p></div></div></div></div>

Marketing Data and Analytics Senior Manager

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