ml engineer

J2B GLOBAL LLC

<div><div><div><div><h3 class="jobSectionHeader">Principal ML Engineer</h3>
</div><div>C2CContract
</div></div><div>Chicago, IL
</div><div>Visa: US CitizenH1BTNGreen CardGC-EADH4-EADEAD
</div><div>Role: Principal ML Engineer Location: Dallas, TX - 5 days onsite from day 1 Secondary locations: Chicago, IL and New York City, NY Job Description: Responsibilities: Contribute to Mail Intelligence Mission: Support the development of AI/ML capabilities that enhance user personalization and insights within Mail and the broader client's ecosystem. Innovate and Personalize: Assist in building scalable AI/ML solutions that identify user interests and habits, contributing to personalized user experiences. Technical Leadership: Guide and mentor a team of passionate engineers, fostering a culture of innovation and excellence. Your leadership will ensure the delivery of high-quality, user-centric solutions. Collaborative Development: Work with cross-functional teams to integrate new AI/ML features and improve existing platforms, ensuring smooth user interactions. Data-Driven Insights: Apply machine learning techniques and big data processing to derive insights from mail data, enhancing content and user knowledge. Tool and Workflow Development: Develop AI/ML tools and workflows to manage and utilize large datasets, supporting AI-based infrastructure and analytics. A/B Testing and Analysis: Run regular A/B tests, gather data, and draw conclusions on the impact of your models. Commitment to Excellence: Maintain high engineering standards, focusing on code quality and architectural skills, while delivering optimal user experiences. Feedback and Recovery: Implement feedback loops and recovery paths to handle AI failures gracefully, ensuring user satisfaction. Balance Tradeoffs: Manage cost, quality, and speed tradeoffs in AI/ML solutions to optimize performance. A lot about YOU Educational Background: You have a strong foundation in computer science, data science, or a related field, with a focus on machine learning and AI technologies. Technical Skills: Proficient in programming languages such as Python or Java and machine learning frameworks like TensorFlow, PyTorch, and Scikit-learn. Skilled with AI tools such as Cursor, Copilot, and Claude. AI Skills: Advanced AI skills, including experience with AI development tools and frameworks. Problem-Solving Ability: You possess strong analytical skills and a knack for solving complex problems using data-driven approaches. Collaboration: You are a team player who can work effectively with cross-functional teams, including tech leads and architects, to deliver high-quality solutions. Passion for Innovation: You are enthusiastic about leveraging AI/ML to drive innovation and enhance user experiences across Mail and the broader ecosystem. Attention to Detail: You maintain high standards for code quality and are committed to delivering robust, scalable solutions. Continuous Learning: You are eager to stay updated with the latest advancements in AI/ML and apply them to improve products and services. Qualifications Educational Requirement: Bachelor's degree in Computer Science, Data Science, or a related field; a Master's degree is a plus. Experience: 8+ years of experience in machine learning, data analysis, or a related field. Technical Proficiency: Expertise in Python, Java, or C++ and machine learning frameworks like TensorFlow, PyTorch, and Scikit-learn. Skilled with AI tools such as Cursor, Copilot, and Claude. Data and Infrastructure: Proficient in big data technologies (Hadoop, Spark) and modern ML infrastructure (Airflow, MLFlow, feature stores, vector databases, CI/CD for ML). Generative AI and Optimization: Hands-on experience with LLMs, generative AI (prompt engineering, Agent frameworks, fine-tuning, RAG, LLMOps), and GPU optimizations. Observability and Feedback: Familiar with observability, telemetry, and user feedback loops for product improvement. Algorithm Knowledge: Solid understanding of machine learning algorithms, natural language processing, and data mining techniques. Problem-Solving Skills: Demonstrated ability to solve complex problems and implement efficient, scalable solutions. Collaboration Skills: Ability to work effectively in a team environment and collaborate with tech leads, architects, and cross-functional teams. Communication Skills: Strong verbal and written communication skills to articulate complex technical concepts to non-technical stakeholders. Continuous Improvement: Eagerness to learn and adapt to new technologies and methodologies in the AI/ML domain. Preferred Qualifications Mail Experience: Prior experience working with email systems or related technologies is a plus. Personal Attributes: Self-driven and detail-oriented, with a passion for tackling challenges. Strong teamwork spirit, excellent communication skills, and the ability to multitask and manage expectations effectively. Cloud Experience: Experience with public cloud platforms, especially Google Cloud Platform (GCP), is preferred.</div></div><div> Refer</div></div>

Principal ML Engineer

Ursa Space Systems

<div><h1 class="jobSectionHeader">Applied AI/ML Engineer</h1><h2 class="jobSectionHeader">
About the Role</h2>
Ursa Space turns complex satellite and spatial data into decision-ready answers. Our agentic GeoAI platform lets users ask a question in plain English about a place, an event, or an activity anywhere on Earth and handles the rest: selecting the right data sources, tasking sensors, running analytics, and delivering an insight report in minutes instead of hours.
We're looking for an Applied AI/ML Engineer to help build the intelligence behind that platform. This is a hybrid role by design. Some weeks you'll be deep in computer vision training and deploying object detection and segmentation models on SAR and electro-optical satellite imagery. Other weeks you'll be building agentic systems: designing tool-calling workflows, orchestrating LLM-driven analysis pipelines, and building the evaluation infrastructure that keeps them reliable. The work varies significantly project to project, and the right candidate sees that as a feature, not a bug.
You'll report to the Director of Analytics and work side-by-side with data scientists, image scientists, product owners, and customers. This role may include pre-scheduled on-call rotations requiring occasional evening or weekend technical support.
This is a virtual role and an exempt position.<h2 class="jobSectionHeader">
Job Summary</h2><ul><li>
Design, build, and maintain agentic AI systems that automate stages of the geospatial analysis cycle from natural-language question intake through data selection, multi-source analysis, and report generation</li><li>
Develop tool-use, orchestration, and context-management capabilities that connect LLMs to our geospatial data services, analytics, and 90+ integrated data feeds</li><li>
Conduct Verification and Validation (V&amp;V) against AI/ML and LLM outputs to ensure accurate resulting information</li><li>
Train, fine-tune, evaluate, and deploy computer vision models (object detection, segmentation, change detection) on SAR, EO, and other Earth Observation data</li><li>
Adapt and fine-tune vision-language models (VLMs) to move beyond bounding boxes toward full scene understanding and extracting the meaningful content of imagery, not just locating objects</li><li>
Build evaluation and observability infrastructure for both classical ML (precision/recall, IoU, AUC/ROC) and LLM/agent behavior (task success, groundedness, regression testing), and use it to drive measurable improvement</li><li>
Own projects end to end: from data definition and prototyping through production deployment, validation, and maintenance</li><li>
Work directly with product owners, internal platform users, and external customers to understand needs, translate requirements into agentic system designs, and explain how the technology works to people who experience it as a black box</li><li>
Integrate third-party and multi-source data sets into analysis pipelines</li><li>
Do ad-hoc analysis and answer time-sensitive questions from stakeholders across the organization</li><li>
Act as a technical resource for teammates to bring awareness of new models, techniques, and tools that help the whole team grow</li><li>
Owning measuring actual observed error against budget, not just believing the budget on paper.</li><li>
Adversarial and edge-case testing deliberately probing for failure modes (ambiguous imagery, conflicting sources, out-of-distribution inputs) rather than testing the happy path a developer already validated.</li><li>
Confidence calibration to ensure that a system's stated confidence actually corresponds to real-world correctness rates, which is its own measurement discipline.</li><li>
Experienced with traceability and reproducibility to demonstrate why the system produced a given output, on a specific input, at a specific model/data version.</li><li>
All other duties as assigned.</li></ul><h2 class="jobSectionHeader">
Requirements</h2><ul><li>
B.S. or M.S. in Computer Science, Data Science, or a related STEM field</li><li>
4&ndash;6 years of experience building and deploying machine learning systems for product- or software-focused organizations</li><li>
Strong Python and production software engineering practices: Git, Docker, testing, code review, CI/CD</li><li>
Experience training and deploying deep learning models for computer vision tasks (object detection, image segmentation) using PyTorch or similar frameworks</li><li>
Hands-on experience building LLM-powered applications: prompt design, structured outputs, tool use / function calling, and agentic architectures</li><li>
Experience evaluating ML systems with appropriate metrics &mdash; both traditional (RMSE, FPR/TPR, AUC/ROC, IoU) and LLM/agent evaluation approaches</li><li>
Experience developing and deploying in AWS environments</li><li>
Strong communication skills: able to present findings and explain complex systems to technical and non-technical audiences, including customers</li></ul><h2 class="jobSectionHeader">
Preferred Skills</h2><ul><li>
Prior experience with remote sensing data especially synthetic aperture radar (SAR), GIS, and/or spatial statistics</li><li>
Experience fine-tuning foundation models or VLMs (e.g., LoRA/PEFT, multimodal adaptation for domain-specific imagery)</li><li>
Familiarity with agent orchestration frameworks and protocols (e.g., LangGraph, Claude Agent SDK, MCP) and LLM observability/eval tooling</li><li>
Geospatial Python stack: GDAL, rasterio, geopandas, xarray</li><li>
Experience with SQL/NoSQL databases and vector stores</li><li>
Experience leading projects on complex, cross-discipline teams</li><li>
Familiarity with Confluence, Jira, and Miro</li><li>
Regression and drift detection: did a &quot;small&quot; model or prompt change silently degrade accuracy on a case type that isn't in the dev team's day-to-day test set?</li></ul>
Compensation<ul><li>
Ranges: $185,000 - $199,000.</li><li>
Compensation range includes base salary and is eligible for an annual bonus.</li><li>
New hires salaries are typically between the range minimum and the salary range midpoint. Actual placement in the range will depend on a candidate&rsquo;s job-related skills, experience, and expertise, as evaluated during the interview process.</li></ul> 
Inclusion Statement
We are dedicated to the belief that all lives have equal value. We strive for a global and cultural workplace that supports ever greater diversity, equity, and inclusion &mdash; of voices, ideas, and approaches &mdash; and we support this diversity through all our employment practices.
All applicants and employees who are drawn to serve our mission will enjoy equality of opportunity and fair treatment without regard to race, color, age, religion, pregnancy, sex, sexual orientation, disability, gender identity, gender expression, national origin, genetic information, veteran status, marital status, and prior protected activity.
Location
<ul><li>We are headquartered in Ithaca, NY and have a remote workforce in other locations throughout the United States.</li>
</ul>
Please note: applications without a relevant cover letter will not be considered. In your cover letter, we would like to hear your personal voice and learn about your sincere interest in Ursa Space Systems.
Benefits and Perks
<ul><li>Competitive Compensation</li>
<li>Discretionary PTO &amp; Flexible Scheduling</li>
<li>Stock Options</li>
<li>401(k) Match</li>
<li>Medical, Dental and Vision Coverage for you and your dependents</li>
<li>FSA &amp; HSA Plans</li>
<li>Employer-paid Life Insurance</li>
<li>Employer-paid LTD and STD for Parental and Family Care</li>
<li>11 Paid Holidays</li>
<li>Employee Resource Groups</li>
<li>Educational Assistance Program</li>
<li>Professional Development Opportunities</li>
<li>And more&hellip;</li>
</ul>
Company Values
<ul><li>Use the team</li>
<li>Figure it out and own it</li>
<li>Aim for elegant simplicity</li>
<li>Empower diversity &amp; inclusivity</li>
<li>Do the right thing</li>
<li>Be scrappy</li>
</ul>XIocstDnR5</div>

Applied AI/ML Engineer

Upstart

<div><div>About Upstart
At Upstart, we&rsquo;re united by a mission that matters: to radically reduce the cost and complexity of borrowing for all Americans. Every day, we bring creativity, experimentation, and advanced AI to reshape access to credit, helping millions move forward financially with clarity and confidence.
As the leading AI lending marketplace, we partner with banks and credit unions to expand access to affordable credit through technology that&rsquo;s both radically intelligent and deeply human. Our platform runs over one million predictions per borrower using more than 1,800 signals, powering smarter, fairer decisions for millions of customers. But the numbers only hint at the impact. Every idea, every voice, and every contribution moves us closer to a world where credit never stands between people and their financial progress.
We&rsquo;re proudly digital-first, giving most Upstarters the flexibility to do their best work from wherever they thrive, alongside teammates across 80+ cities in the US and Canada. Digital-first doesn&rsquo;t mean distant. We&rsquo;re intentional about in-person connection through team onsites, planning sessions, and moments that spark creativity and trust. And whether you choose to work primarily from home or collaborate in-person from one of our offices in Columbus, Austin, the Bay Area, or New York City (opening Summer 2026), you&rsquo;ll have the support to work in the way that works best for you.
If you&rsquo;re energized by tackling meaningful problems, excited to innovate with purpose, and motivated by work that truly matters, we&rsquo;d love to hear from you.
</div>The Team
Upstart&rsquo;s Applied LLM team is building foundational infrastructure that democratizes access to generative AI for every product and engineering team across the company. This is a cross-functional team at the intersection of machine learning, product, and engineering. Our mission is to bring the power of ML, particularly large language models (LLMs) and generative AI, to life in Upstart&rsquo;s core products.
As a Senior Applied Machine Learning Engineer focused on building Upstart's LLM applications, you'll work closely with researchers, product managers, platform engineers, and designers to ship intelligent features that elevate the user experience and expand the capabilities of our systems.
How you&rsquo;ll make an impact:
<ul><li>Design and build user-facing ML features that harness LLMs and generative AI to unlock new product capabilities</li>
<li>Partner with product, design, and ML research to prototype and deliver high-impact, ML-powered experiences</li>
<li>Own the technical architecture and implementation strategy for applied ML systems - balancing latency, observability, and iteration speed</li>
<li>Build scalable services and APIs that bring model outputs to users in trustworthy and intuitive ways</li>
<li>Collaborate across platform, infra, and legal/compliance teams to ensure ML deployments meet standards for safety, fairness, and performance</li>
<li>Establish and evangelize best practices for prompt design, model evaluation, and experimentation across the org</li>
</ul>What we&rsquo;re looking for:
<ul><li>Minimum qualifications:</li>
<li><ul><li>4+ years of software engineering experience, with 2+ years working directly on ML-driven products or intelligent systems</li>
<li>Proven ability to lead complex initiatives across engineering, product, and research stakeholders</li>
<li>Strong backend development skills (e.g., Python with FastAPI or Flask), plus experience with cloud-native tooling (e.g., Kubernetes, Docker, Terraform)</li>
<li>Experience integrating LLMs or ML models into production systems, including APIs and user-facing applications</li>
<li>Excellent communication skills and a collaborative, product-minded approach</li>
Ability to think rigorously about system design, latency tradeoffs, and user impact when working with ML features 
<li>
 
 
</li></ul></li><li>Preferred qualifications:</li>
<li><ul><li>Experience shipping GenAI or LLM-powered features using frameworks like LangChain, LlamaIndex, or OpenAI APIs</li>
<li>Familiarity with retrieval-augmented generation (RAG), vector search (e.g., FAISS, Pinecone), and real-time inference patterns</li>
<li>Proficiency in full-stack development, including front-end work with React or similar frameworks</li>
<li>Strong intuition for prompt engineering, model testing, and evaluation methodologies</li>
<li>Experience navigating complex requirements around explainability, user trust, or compliance in ML applications</li>
<li>Track record of influencing architecture or product direction at a team or org level</li>
</ul></li></ul>Position location This role is available in the following locations: Remote
Travel requirements As a digital first company, the majority of your work can be accomplished remotely. The majority of our employees can live and work anywhere in the U.S but are encouraged to to still spend high quality time in-person collaborating via regular onsites. The in-person sessions&rsquo; cadence varies depending on the team and role; most teams meet once or twice per quarter for 2-4 consecutive days at a time. 

<div></div><div><div><div>At Upstart, your base pay is one part of your total compensation package. The anticipated base salary for this position is expected to be within the below range. Your actual base pay will depend on your geographic location&ndash;with our &ldquo;digital first&rdquo; philosophy, Upstart uses compensation regions that vary depending on location. Individual pay is also determined by job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
In addition, Upstart provides employees with target bonuses, equity compensation, and generous benefits packages (including medical, dental, vision, and 401k).
</div><div>United States | Remote - Anticipated Base Salary Range</div>
<div>$199,500&mdash;$276,000 USD</div>
</div><div><div>At Upstart, your base pay is one part of your total compensation package. The anticipated base salary for this position is expected to be within the below range. Your actual base pay will depend on your geographic location&ndash;with our &ldquo;digital first&rdquo; philosophy, Upstart uses compensation regions that vary depending on location. Individual pay is also determined by job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
In addition, Upstart provides employees with target bonuses, equity compensation, and generous benefits packages (including medical, dental, vision, and 401k).
</div><div>Canada | Remote - Anticipated Base Salary Range</div>
<div>$177,700&mdash;$220,000 USD</div>
</div></div><div>What you'll love
At Upstart, our benefits are designed to support your health, financial well-being, family, and personal growth. Here&rsquo;s what you can expect:
<ul><li>Competitive compensation, including base pay, bonus opportunities, and annual equity grants that vest quarterly</li>
<li>Retirement benefits to help you plan for the future, including a 401(k) or Group Retirement Savings Plan with a company match of $2 for every $1 contributed, up to $15,000 annually (USD in the US, CAD in Canada)</li>
<li>Employee Stock Purchase Plan (ESPP) with discounted stock purchase options for eligible employees (US only)</li>
<li>Comprehensive health coverage designed to support you and your family, including medical, dental, vision, and wellness resources for US and supplemental health coverage for Canada.</li>
<li>Health Savings Account contributions from Upstart for eligible plans (US only)</li>
<li>Income protection benefits, including life insurance and disability coverage for added financial security</li>
<li>Paid time off, sick leave, and company holidays, in line with local requirements</li>
<li>Paid family and parental leave to support caregiving and major life moments (duration varies by country)</li>
<li>Family-centered benefits to support fertility, parenthood, and caregiving needs</li>
<li>Employee Assistance Program (EAP) offering mental health support and life-centered resources</li>
<li>Financial wellness resources, including access to financial planning tools and a financial concierge service (US Only)</li>
<li>Annual wellness allowance to support your physical and emotional well-being and personal development, based on what matters most to you</li>
<li>Annual productivity allowance to invest in relevant tools and resources you need to do your best work, no matter where you work from</li>
<li>Connection and community through team events, all-company updates, and employee resource groups (ERGs)</li>
<li>Onsite perks, including catered lunches and fully stocked micro-kitchens when working from one of our offices in the Bay Area, Austin, Columbus, and New York City (opening Summer 2026!)</li>
</ul>For roles based in Canada, please note that we are not currently able to hire in Quebec.
Upstart is a proud Equal Opportunity Employer. Just as we are dedicated to improving access to affordable credit for all, we are committed to inclusive and fair hiring practices.
If you require reasonable accommodation in completing an application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please email candidate_accommodations@upstart.com
https://www.upstart.com/candidate_privacy_policy</div></div>

Senior Applied ML Engineer

Optum

<div>Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together.
Surest is a consumer centric health plan designed to remove barriers to care through simple, transparent experiences. Our plans replace deductibles and coinsurance with clear, up front pricing that members can see before they seek care-without compromising coverage, quality, or affordability.
The Surest Technology team is 100% dedicated to this product and its success in the market. Our work focuses on building and evolving the platforms that power the Surest experience end to end, from benefit configuration and provider data to member facing digital experiences. We prioritize solutions that reduce manual effort, improve accuracy, and integrate seamlessly across a complex healthcare ecosystem.
You will enjoy the flexibility to telecommute* from anywhere within the U.S. as you take on some tough challenges.
Primary Responsibilities:<ul><li>
Daily work in the areas of AI/ML modeling, data-oriented software development &amp; infrastructure, programming for data analysis, and data visualization</li><li>
Development and ownership of measuring the effectiveness of our product</li><li>
Share responsibility for the data collection, pipelines, and reports/dashboards that allow democratized access to data</li><li>
Influence roadmap and priorities by contributing data driven recommendations</li><li>
Communicate complex analytical findings clearly to expert and non-technical audiences</li><li>
Build with solid foundations for repeatable analyses</li><li>
Enable the Data Science team to review and ingest new data as it becomes available</li><li>
Participate in cross-functional implementation of data science products</li><li>
Work with stakeholders and others on assigned projects to ensure that value is being delivered at a regular pace</li><li>
Work with SME's to understand even the most nuanced context behind what is recorded in our data</li><li>
Work with technical partners (e.g., Data Engineers) to ensure that assets developed for analytical/modeling purposes are stable, reliable, and reproducible</li><li>
Contribute readable, maintainable, and testable code to ensure that datasets created and models trained will deliver expected results</li><li>
Read and contribute to others' code to help it meet the same standards</li><li>
Propose new applications of Data Science to business problems, or help develop these proposals</li></ul>
Design, develop, and deploy AI-powered solutions to address complex business challenges with emphasis on responsible use of AI
You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.
Required Qualifications:<ul><li>
High School Diploma/GED</li><li>
3+ years of experience in Data Science, Software Delivery, or a related role OR a combination of experience and education</li><li>
1+ years of experience in writing Python and/or Pyspark for software or Data Analysis</li><li>
1+ years of experience in writing SQL for Data Analysis, or programmatic Database Interactions</li><li>
1+ years of experience working on a CI/CD software project</li><li>
1+ years of experience working with code version control (e.g., GitHub)</li></ul>
Preferred Qualifications:<ul><li>
Experience contributing to a large, CI/CD software project</li><li>
Experience taking a model from concept to evaluation to production</li><li>
Experience with model explain ability and bias/fairness evaluation tools and processes</li><li>
Advanced understanding of Pyspark</li><li>
Experience with cloud tools (Databricks, AWS)</li><li>
Experience with software development/deployment tools: (Python IDE(s), Pytest, Jira, GitHub, Jenkins)</li><li>
Experience with additional programming tools: (Shell scripts, Terraform, Docker)</li><li>
Familiar with software development principles</li><li>All Telecommuters will be required to adhere to UnitedHealth Group's Telecommuter Policy.</li></ul> 
Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $98,500 to $176,000 annually based on full-time employment. We comply with all minimum wage laws as applicable. 
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 
Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants. 
At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location, and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups, and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission. 
UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. 
UnitedHealth Group is a drug-free workplace. Candidates are required to pass a drug test before beginning employment. 
#RPO #GREEN</div>

AI/ML Engineer

Booz Allen Hamilton

<div>The Opportunity :
As a data techni cia n, you know that high‑quality labeled data is essential for training artifi cia l intelligence systems. Your ability to recognize patterns, follow detailed instructions, and maintain consistency across large volumes of information makes you an important part of building reliable AI‑enabled solutions. We need your attention to detail and willingness to learn to support mission‑focused data preparation work.
As part of our team, you&rsquo;ll help prepare datasets by labeling images, tagging objects, and applying met adata that supports AI model development. You&rsquo;ll grow your technical skill set as you learn how AI systems use labeled data and collaborate with engineers and analysts to ensure datasets are accurate, complete, and ready for future model training.
Work with us to support real‑world missions through foundational AI data preparation.
Join us. The world can't wait.
You Have:
<ul><li>Experience labeling or annotating data, including images or objects, to support data preparation workflows
</li><li>Experience performing basic quality checks to ensure consistency and accuracy in labeled datasets
</li><li>Knowledge of basic digital tools used for reviewing and labeling content
</li><li>Knowledge of data organization practices, including categorizing and structuring information
</li><li>Ability to follow detailed instructions and maintain high accuracy across repetitive tasks
</li><li>Ability to identify and report data inconsistencies or unclear cases
</li><li>Ability to learn new technical processes and tools over time
</li><li>Ability to obtain a Secret clearance
</li><li>Bachelor&rsquo;s degree
</li></ul>Nice If You Have:
<ul><li>Experience working with basic scripting or sof tware tools
</li><li>Experience supporting teams in digital, analytical, or data‑driven environments
</li><li>Knowledge of AI concepts or how training data supports model development
</li><li>Knowledge of met adata tagging, object identification, or digital imaging
</li><li>Ability to learn basic scripting or automation met hods over time
</li><li>Ability to collaborate with technical teammates such as engineers or analysts
</li></ul>Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information .
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen&rsquo;s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual&rsquo;s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $55,200.00 to $126,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen&rsquo;s total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided .
Work Model
 
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.
<ul><li>Remote : If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
</li><li>Hybrid : If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
</li><li>Onsite : If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.
</li></ul>Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.</div>

AI/ML Engineer, Junior

Lyra Health

<div><div>About Lyra Health</div>
<div>Lyra Health is a leading provider of evidence-based mental health care, serving more than 20 million people globally in partnership with employers and more than 100 million through health plan and partner relationships. The company has delivered more than 15 million sessions of mental health care, published more than 35 peer-reviewed studies, and delivered unmatched outcomes in terms of access, clinical effectiveness, and cost efficiency. Extensive peer-reviewed research confirms Lyra&rsquo;s transformative care model helps people recover twice as fast and results in a 26% annual reduction in overall healthcare claims costs. Lyra is transforming access to life-changing mental health care through Lyra Empower, the only fully integrated, AI-powered platform combining the highest-quality care and technology solutions. 
</div><div></div> 
<div>We are looking for an experienced Senior AI/ML Platform Engineer who is eager to build the platforms, infrastructure and services necessary to deliver ML and generative AI based products that make a significant impact within the organization. The ideal candidate will be enthusiastic about taking ownership of their work, spearheading cross-functional projects, and providing guidance and mentorship to other team members.

Lyra is for you if you
<ul>
<li>Thrive on working with brilliant teammates to solve complex, meaningful problems
</li>
<li>Are passionate about making a social impact and supporting people at their most challenging moments
</li>
<li>Enjoy cross-functional collaboration with therapists, data scientists, engineers and product managers
</li>
</ul>In this role, you will
<ul>
<li>Be part of a team working on building our machine learning and generative AI platforms that will be used by teams across the company
</li>
<li>Create the necessary backend infrastructure to enable scalable, resilient and highly performant solutions
</li>
<li>Build services that expose machine learning and AI based products
</li>
<li>Deploy and manage various applications in production
</li>
<li>And of course, you will be coding every day!
</li>
</ul></div><h3 class="jobSectionHeader">We are looking for someone with:</h3><div>
<ul>
<li>4+ years of experience delivering production ready products
</li>
<li>Ability to write high-quality code in Python
</li>
<li>Experience with modern async Python web frameworks (e.g., FastAPI) and handling data streaming (WebSockets, Server-Sent Events)
</li>
<li>Experience working with Docker and deploying applications to Kubernetes
</li>
<li>Experience with relational and low-latency databases
</li>
<li>Experience building RAG based AI solutions
</li>
<li>Experience setting up and maintaining vector databases
</li>
<li>Familiarity with LLM orchestration frameworks (e.g., LangChain, LlamaIndex) and integrating with foundation model APIs (e.g., OpenAI, Anthropic, AWS Bedrock)
</li>
<li>A desire to learn new technologies quickly
</li>
<li>A love of building systems from scratch
</li>
<li>A thoughtful approach to balancing quality and deadlines in fast-paced settings
</li>
<li>Excellent communication skills with a talent for building consensus and alignment
</li>
<li>Strong organizational skills and the ability to distill complex problems into clear priorities that move the team and business forward
</li>
</ul></div><h3 class="jobSectionHeader">Nice to haves:</h3><div>
<ul>
<li>Experience with Graph Databases (e.g., Neo4j, AWS Neptune) and integrating them into AI/Knowledge systems (e.g., GraphRAG)
</li>
<li>Experience with LLM observability and monitoring tools (e.g., Langfuse) to track latency, token usage, and output quality.
</li>
<li>Experience working with Celery
</li>
<li>Experience defining and using Protobuf messages
</li>
</ul><ul><li>Experience writing production code in Java/Kotlin
</li>
<li>Experience building solutions on cloud infrastructure, particularly AWS
</li>
<li>Experience working with highly sensitive data in a healthcare environment
</li>
</ul></div><div>As a full-time Senior AI/ML Platform Engineer, you will be employed by Lyra Health, Inc. The anticipated annual base salary range for this full-time position is $143,000-197,000. The base range is determined by role and level, and placement within the range will depend on a number of job-related factors, including but not limited to your skills, qualifications, experience and location. This role may also be eligible for discretionary bonuses. 
 
Annual salary is only one part of an employee&rsquo;s total compensation package at Lyra. We also offer generous benefits that include:
 
 
Comprehensive healthcare coverage (including medical, dental, vision, FSA/HSA, life and disability insurances) 
Lyra for Lyrians; coaching and therapy services 
Equity in the company through discretionary restricted stock units 
Competitive time off with pay policies including vacation, sick days, and company holidays 
Paid parental leave
 
401K with up to 3% matching 
Monthly tech allowance 
We like to spread joy throughout the year with well-being perks and activities, surprise swag, regular community celebration&hellip;and more!
 
 
We can&rsquo;t wait to meet you. 
</div><div>
&quot;We are an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, age, disability, genetic information or any other category protected by law.</div>
<div></div>
<div>By applying for this position, you acknowledge that your personal information will be processed as per the Lyra Health Workforce Privacy Notice. Through this application, to the extent permitted by law, we will collect personal information from you including, but not limited to, your name, email address, gender identity, employment information, and phone number for the purposes of recruiting and assessing suitability, aptitude, skills, qualifications, and interests for employment with Lyra. We may also collect information about your race, ethnicity, and sexual orientation, which is considered sensitive personal information under the California Privacy Rights Act (CPRA) and special category data under the UK and EU GDPR. Providing this information is optional and completely voluntary, and if you provide it you consent to Lyra processing it for the purposes as described at the point of collection, for example for diversity and inclusion initiatives. If you are a California resident and would like to limit how we use this information, please use the Limit the Use of My Sensitive Personal Information form. This information will only be retained for as long as needed to fulfill the purposes for which it was collected, as described above. Please note that Lyra does not &ldquo;sell&rdquo; or &ldquo;share&rdquo; personal information as defined by the CPRA. Outside of the United States, for example in the EU, Switzerland and the UK, you may have the right to request access to, or a copy of, your personal information, including in a portable format; request that we delete your information from our systems; object to or restrict processing of your information; or correct inaccurate or outdated personal information in our systems. These rights may be subject to legal limitations. To exercise your data privacy rights outside of the United States, please contact globaldpo@lyrahealth.com. For more information about how we use and retain your information, please see our Workforce Privacy Notice.&quot;</div>

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, summarizing interviews, 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>

Senior AI/ML Platform Engineer

Capital One

<div>Lead Machine Learning Engineer, Card Tech
As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You&rsquo;ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You&rsquo;ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering.
What You&rsquo;ll Do:
The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following:<ul><li>
Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams</li><li>
Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation)</li><li>
Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment</li><li>
Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications</li><li>
Retrain, maintain, and monitor models in production</li><li>
Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale.</li><li>
Construct optimized data pipelines to feed ML models</li><li>
Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code</li><li>
Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI</li><li>
Use programming languages like Python, Scala, or Java</li></ul>
Basic Qualifications:<ul><li>
Bachelor&rsquo;s Degree</li><li>
At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply)</li><li>
At least 4 years of experience programming with Python, Scala, or Java</li><li>
At least 2 years of experience building, scaling, and optimizing ML systems</li></ul>
Preferred Qualifications:<ul><li>
Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar field</li><li>
3+ years of experience building production-ready data pipelines that feed ML models</li><li>
3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow</li><li>
2+ years of experience developing performant, resilient, and maintainable code</li><li>
2+ years of experience with data gathering and preparation for ML models</li><li>
2+ years of people leader experience</li><li>
1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation</li><li>
Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform</li><li>
Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance</li><li>
ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents</li><li>
Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion</li></ul>
At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer).
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
New York, NY: $215,200 - $245,600 for Lead Machine Learning Engineer 
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate&rsquo;s offer letter.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.
No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City&rsquo;s Fair Chance Act; Philadelphia&rsquo;s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).</div>

Lead Machine Learning Engineer, Card Tech

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