ai ml engineer

Optum

<div><p>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 <b>Caring. Connecting. Growing together.</b></p><p>
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.</p><p>
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.</p><p>
You will enjoy the flexibility to telecommute* from anywhere within the U.S. as you take on some tough challenges.</p><p><b>
Primary Responsibilities:</b></p><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><p>
Design, develop, and deploy AI-powered solutions to address complex business challenges with emphasis on responsible use of AI</p><p>
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.</p><p><b>
Required Qualifications:</b></p><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><p><b>
Preferred Qualifications:</b></p><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><p><br>
</p><p>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.</p><p></p><p><br>
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.</p><p><br>
</p><p><b><i>Application Deadline: </i></b><i>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.</i></p><p><br>
</p><p><i>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.</i></p><p><br>
</p><p></p><p><i>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.</i></p><p></p><p><i><br>
UnitedHealth Group is a drug-free workplace. Candidates are required to pass a drug test before beginning employment.</i></p><p></p><p><br>
</p><p>#RPO #GREEN</p></div>

AI/ML Engineer

Booz Allen Hamilton

<div><p><b>The Opportunity </b><b>:
</b></p><p>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.</p>
<p></p><p>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.</p>
<p></p><p>Work with us to support real‑world missions through foundational AI data preparation.</p>
<p></p><p>Join us. The world can't wait.</p>
<p></p><p><b>You Have:</b>
</p><ul><li><p>Experience labeling or annotating data, including images or objects, to support data preparation workflows</p>
</li><li><p>Experience performing basic quality checks to ensure consistency and accuracy in labeled datasets</p>
</li><li><p>Knowledge of basic digital tools used for reviewing and labeling content</p>
</li><li><p>Knowledge of data organization practices, including categorizing and structuring information</p>
</li><li><p>Ability to follow detailed instructions and maintain high accuracy across repetitive tasks</p>
</li><li><p>Ability to identify and report data inconsistencies or unclear cases</p>
</li><li><p>Ability to learn new technical processes and tools over time</p>
</li><li><p>Ability to obtain a Secret clearance
</p></li><li><p>Bachelor&rsquo;s degree
</p></li></ul><p></p><p><b>Nice If You Have:</b>
</p><ul><li><p>Experience working with basic scripting or sof tware tools</p>
</li><li><p>Experience supporting teams in digital, analytical, or data‑driven environments</p>
</li><li><p>Knowledge of AI concepts or how training data supports model development</p>
</li><li><p>Knowledge of met adata tagging, object identification, or digital imaging</p>
</li><li><p>Ability to learn basic scripting or automation met hods over time</p>
</li><li><p>Ability to collaborate with technical teammates such as engineers or analysts</p>
</li></ul><p></p><p><b>Clearance:
</b></p><p>Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information .</p>
<p></p><p><b>Compensation
</b></p><p>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.</p>
<p></p>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.
<p></p><p><b>Identity Statement
</b></p><p>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.</p>
<p></p><p><b>Candidate AI Usage Policy
</b></p><p>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 <b>your </b>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 <b>unless permission is explicitly provided </b>.</p>
<p></p><p><b>Work Model
</b><br>
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.</p>
<ul><li><p><b>Remote </b>: 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.</p>
</li><li><p><b>Hybrid </b>: 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.</p>
</li><li><p><b>Onsite </b>: 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.</p>
</li></ul><p></p><p><b>Commitment to Non-Discrimination
</b></p><p>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.</p></div><p></p>

AI/ML Engineer, Junior

Lyra Health

<div><div><b>About Lyra Health</b></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.<br>
</div><div></div><br>
<div><p>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.</p>
<p>
Lyra is for you if you</p>
<ul>
<li><p>Thrive on working with brilliant teammates to solve complex, meaningful problems</p>
</li>
<li><p>Are passionate about making a social impact and supporting people at their most challenging moments</p>
</li>
<li><p>Enjoy cross-functional collaboration with therapists, data scientists, engineers and product managers</p>
</li>
</ul><p>In this role, you will</p>
<ul>
<li><p>Be part of a team working on building our machine learning and generative AI platforms that will be used by teams across the company</p>
</li>
<li><p>Create the necessary backend infrastructure to enable scalable, resilient and highly performant solutions</p>
</li>
<li><p>Build services that expose machine learning and AI based products</p>
</li>
<li><p>Deploy and manage various applications in production</p>
</li>
<li><p>And of course, you will be coding every day!</p>
</li>
</ul></div><h3 class="jobSectionHeader"><b>We are looking for someone with:</b></h3><div>
<ul>
<li><p>4+ years of experience delivering production ready products</p>
</li>
<li><p>Ability to write high-quality code in Python</p>
</li>
<li><p>Experience with modern async Python web frameworks (e.g., FastAPI) and handling data streaming (WebSockets, Server-Sent Events)</p>
</li>
<li><p>Experience working with Docker and deploying applications to Kubernetes</p>
</li>
<li><p>Experience with relational and low-latency databases</p>
</li>
<li><p>Experience building RAG based AI solutions</p>
</li>
<li><p>Experience setting up and maintaining vector databases</p>
</li>
<li><p>Familiarity with LLM orchestration frameworks (e.g., LangChain, LlamaIndex) and integrating with foundation model APIs (e.g., OpenAI, Anthropic, AWS Bedrock)</p>
</li>
<li><p>A desire to learn new technologies quickly</p>
</li>
<li><p>A love of building systems from scratch</p>
</li>
<li><p>A thoughtful approach to balancing quality and deadlines in fast-paced settings</p>
</li>
<li><p>Excellent communication skills with a talent for building consensus and alignment</p>
</li>
<li><p>Strong organizational skills and the ability to distill complex problems into clear priorities that move the team and business forward</p>
</li>
</ul></div><h3 class="jobSectionHeader"><b>Nice to haves:</b></h3><div>
<ul>
<li><p>Experience with Graph Databases (e.g., Neo4j, AWS Neptune) and integrating them into AI/Knowledge systems (e.g., GraphRAG)</p>
</li>
<li><p>Experience with LLM observability and monitoring tools (e.g., Langfuse) to track latency, token usage, and output quality.</p>
</li>
<li><p>Experience working with Celery</p>
</li>
<li><p>Experience defining and using Protobuf messages</p>
</li>
</ul><ul><li><p>Experience writing production code in Java/Kotlin</p>
</li>
<li><p>Experience building solutions on cloud infrastructure, particularly AWS</p>
</li>
<li><p>Experience working with highly sensitive data in a healthcare environment</p>
</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.<br>
<br>
Annual salary is only one part of an employee&rsquo;s total compensation package at Lyra. We also offer generous benefits that include:
<br>
<br>
Comprehensive healthcare coverage (including medical, dental, vision, FSA/HSA, life and disability insurances)<br>
Lyra for Lyrians; coaching and therapy services<br>
Equity in the company through discretionary restricted stock units<br>
Competitive time off with pay policies including vacation, sick days, and company holidays<br>
Paid parental leave
<br>
401K with up to 3% matching<br>
Monthly tech allowance<br>
We like to spread joy throughout the year with well-being perks and activities, surprise swag, regular community celebration&hellip;and more!
<br>
<br>
We can&rsquo;t wait to meet you.<br>
</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>
<p>
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.</p></div>

Senior AI/ML Platform Engineer

The Hartford

<div><h2 class="jobSectionHeader"><b>Job Details</b></h2>
<div><div><div>Location:</div>
<div>Hartford, CT</div>
</div><div><div>Category:</div><div>
Data &amp; Analytics</div>
</div><div><div>Employment Type:</div>
<div>Full time
</div></div><div><div>Job Ref:</div><div>
R2626256-168</div>
</div></div><p></p><div><div>Sr Data Engineer - GE07BE<p>
We&rsquo;re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals &ndash; and to help others accomplish theirs, too. Join our team as we help shape the future.<br>
</p><p></p><div><p>The Hartford is seeking a Senior AI Machine Learning Engineer within Employee Benefits Applied AI and Analytics (EB AIA) to help build, deploy, and sustain enterprise-scale predictive and applied AI solutions across pricing, underwriting, sales related EB business workflows. As a Senior AI/ML engineer you will manage and modernize the existing predictive model portfolio while helping the team expand into generative AI, agentic AI and other applied AI capabilities.</p></div><div><p>
The role is intended for a hands-on technical lead who can execute approved solution designs, deploy production-ready AI and ML components, operate reliable model pipelines, and guide junior engineers. The person should be able to translate architecture and design direction into working, governed, and production assets with minimal supervision.</p></div><div><p><b>
Team Description</b></p></div><div><p>
The Employee Benefits Applied AI and Analytics team provides insight, automation, and augmentation across the policy lifecycle for Employee Benefits customers and internal business stakeholders. EB AIA supports a portfolio that spans sales, pricing, underwriting, policy installation, renewal, service, and operational workflows.</p></div><div><p>
In addition to the existing portfolio of Predictive AI assets, the team is scaling an end-to-end AI-driven reimagination of EB underwriting and service organizations. The team partners closely with enterprise platform enablement team to apply consistent architecture and engineering practices while tailoring solutions for accuracy, transparency, scalability, and business usability.</p></div><div><p><b>
Primary Responsibilities</b></p></div><div><ul><li>Lead day-to-day engineering execution for the EB predictive model portfolio, including pricing and underwriting models, scoring pipelines, model refreshes, monitoring, data validations, and production support.</li></ul></div><div><ul><li>Build, deploy, and maintain AI/ML components and data pipelines that support applied AI use cases across pricing, underwriting, sales, service, renewal, and policy lifecycle workflows.</li></ul></div><div><ul><li>Implement approved solution designs from senior Applied AI Engineers, Architects, and Data Scientists; translate design patterns into tested, reliable production code and workflows.</li></ul></div><div><ul><li>Support the initial build-out of generative AI and agentic AI solutions, including prompt orchestration, retrieval-augmented generation patterns, evaluation workflows, guardrails, and integration with existing EB data and application ecosystems.</li></ul></div><div><ul><li>Develop and operate batch and near-real-time data/AI pipelines for model training, feature generation, inference, post-processing, business rules integration, and downstream consumption.</li></ul></div><div><ul><li>Deploy and sustain production AI services, jobs, APIs, and workflows in AWS and GCP environments using approved CI/CD, testing, observability, security, and operational practices.</li></ul></div><div><ul><li>Own implementation quality for assigned components, including code reviews, unit/integration testing, documentation, runbooks, production readiness checks, and incident response support.</li></ul></div><div><ul><li>Guide and mentor junior engineers by breaking down technical work, reviewing code, explaining model/data pipeline patterns, and ensuring consistent engineering practices.</li></ul></div><div><ul><li>Partner with Data Scientists, Data Engineers, Asset Owners, Underwriting, Pricing stakeholders to understand requirements, validate outputs, resolve data issues, and ensure model solutions fit business workflows.</li></ul></div><div><ul><li>Maintain model and pipeline governance artifacts, including lineage, model inputs/outputs, monitoring metrics, validation evidence, operational controls, and handoff documentation.</li></ul></div><div><ul><li>Identify risks, bottlenecks, and operational gaps in deployed AI/ML solutions and recommend practical improvements under the guidance of senior technical leadership.</li></ul></div><div><p><b>
Minimum</b><b> </b><b>Requirements</b></p></div><div><ul><li> Bachelor&rsquo;s degree in related field or 6+ years of equivalent experience in software engineering, data engineering, ML/DevOps engineering, applied AI engineering, or closely related technical roles.</li></ul></div><div><ul><li>Master's degree in computer science, engineering, information technology, MIS, data science, or related discipline preferred.</li></ul></div><div><ul><li>Strong hands-on expertise in Python, SQL, SDLC practices, Git-based development, automated testing, and production-grade code delivery.</li></ul></div><div><ul><li>Experience deploying and operating data, AI, or ML workloads in AWS and GCP, including cloud storage, managed compute, orchestration, IAM-aware access patterns, logging, and monitoring.</li></ul></div><div><ul><li>Experience with ML engineering concepts such as feature pipelines, model training workflows, batch scoring, inference services, model monitoring, drift detection, validation, retraining, and production support.</li></ul></div><div><ul><li>Ability to work within defined architecture, enterprise security standards, data governance expectations, coding standards, and operational controls.</li></ul></div><div><ul><li>Ability to lead implementation work, guide junior engineers, communicate tradeoffs, and manage multiple model/pipeline deliverables with limited day-to-day direction.</li></ul></div><div><p><b>
Preferred Experience</b></p></div><div><ul><li>Experience in insurance, employee benefits, pricing, underwriting, risk selection, sales enablement, or policy lifecycle analytics.</li></ul></div><div><ul><li>Experience supporting predictive model portfolios that require periodic refreshes, performance tracking, business validation, and governed production deployment.</li></ul></div><div><ul><li>Experience with generative AI or agentic AI implementation patterns, including RAG, prompt evaluation, LLM application integration, AI safety controls, human-in-the-loop workflows, and model output validation.</li></ul></div><div><ul><li>Experience with orchestration and workflow tools such as Airflow, Cloud Composer, Step Functions, Vertex AI Pipelines, or comparable enterprise platforms.</li></ul></div><div><ul><li>Experience with CI/CD, containers, APIs, infrastructure-as-code concepts, observability, and production incident management.</li></ul></div><div><p><b>
Success Profile</b></p></div><div><p>
A successful candidate will be a hands-on engineering lead who can take a generated or approved architecture, convert it into deployable assets, keep predictive AI models running reliably, and help the team move into applied AI delivery. The candidate should be comfortable doing implementation work across pricing and underwriting under senior supervision, while also raising the capability of junior engineers through practical technical guidance.</p><p><i>
This role will have a Hybrid work schedule, with the expectation of working in an office 3 days a week
</i></p><p><i>Candidates must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.</i></p></div><p><b>
Compensation</b></p><p>
The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford&rsquo;s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:</p>
$117,200 - $175,800<p>
Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age</p></div></div></div><p></p>

Senior AI Machine Learning Engineer

<div><p><b>About the Team</b></p>
<p>
STR's Intelligence Division researches and develops advanced analytics and machine learning-based solutions to solve challenging problems related to national security. Our team consists of passionate and motivated engineers with advanced degrees in engineering, computer science, mathematics, and data science, who are seeking opportunities to use their deep technical knowledge and creativity to tackle some of the hardest problems that our customers face. Our projects span multiple different data modalities and incorporate advanced algorithms, deep learning, and statistical techniques to uncover patterns in social media, structured and unstructured text, time series, geospatial, and imagery data, and must operate under challenging constraints not typically found in the commercial world. The tools and technologies we develop have real world impact and US Government analysts and operators use them to enable intelligence activities around the globe.</p>
<p><b>
The Role</b></p>
<p>
As a <b>Machine Learning Engineer, </b>you will help develop and integrate cutting-edge AI/ML models into production systems that solve critical national security problems.</p>
<p>
Working as part of a multidisciplinary team of researchers, engineers, and domain experts, you will analyze interesting and challenging datasets to develop, implement, and evaluate AI/ML models to discover trends and form valuable intelligence insights. You will help bridge the gap between prototype and product by hardening solutions, building scalable backend services, and creating polished user interfaces with intuitive workflows. You will build software with AI/ML at its core, ranging from classical statistical methods to frontier language models, deployed across a diverse set of platforms including cloud, on-prem, desktop, mobile, and edge devices. In addition, you will collaborate closely with customers to understand mission needs, rapidly prototype capabilities, and iterate based on user feedback.</p>
<p>
This position can be based in Woburn, MA; or Arlington, VA. Applicants should expect to primarily work onsite.</p>
<p><b>
What you will do:</b></p>
<ul>
<li>Investigate and analyze large and interesting data sets to identify and expose hidden patterns and trends</li>
<li>Develop and apply novel AI/ML models to automatically derive valuable insights for defense and intelligence analysts</li>
<li>Collaborate with diverse teams to develop and deploy cutting-edge capabilities into production systems</li>
<li>Support the engineering of robust backend services, scalable APIs, and intuitive user interfaces</li>
</ul>
<p><b>Who you are:</b></p>
<ul>
<li>Active Secret Security Clearance with SCI Eligibility, for which U.S citizenship is needed by the U.S government</li>
<li>Hold a B.S. or M.S. in Statistics, Data Science, Applied Mathematics, Computer Science, Electrical Engineering, or other related discipline</li>
<li>Experience in applying AI/ML methods to real-world data science problems, especially in settings where data is sparse, noisy, and/or high dimensional</li>
<li>Experience deploying AI/ML models and constructing analytics pipelines using modern Python-based frameworks</li>
<li>Familiarity with creating data visualizations and user interfaces or dashboards</li>
<li>Proficient with Python and the traditional data science and machine learning stack, namely NumPy, Pandas, scikit-learn, PyTorch, and matplotlib</li>
<li>Proficient with version control software (Git), JIRA, Confluence, or other common collaboration tools</li>
<li>Demonstrated ability to collaborate effectively within cross-functional teams and communicate with customers and end users</li>
</ul>
<p><b>Even better:</b></p>
<ul>
<li>Active Top Secret (TS) Security Clearance</li>
<li>Solid understanding of software engineering principles, including testing, scalability, observability, maintainability, and performance optimization</li>
<li>Experience working with large datasets (&gt; 100 GB) and familiarity with big data infrastructure and frameworks such as AWS, Hadoop, Spark, Dask, or MapReduce</li>
<li>Possession of an advanced degree in a scientific field and 2+ years of relevant experience after Bachelor's degree (work or post-graduate)</li>
<li>Experience in intelligence and military-related mission areas</li>
</ul>
<p><b>Pay Information</b><br>
Full-Time Salary Range: $115,000 - $140,000</p>
<p><i>
The salary range listed is based on external market data. Offers are based on factors, such as but not limited to, the candidate's experience, education, training, key skills/critical skills, security clearances, and prevailing market and business conditions.</i></p><div><p>
STR is a growing technology company with locations near Boston, MA, Arlington, VA, near Dayton, OH, Melbourne, FL, and Carlsbad, CA. We specialize in advanced research and development for defense, intelligence, and national security in: cyber; next generation sensors, radar, sonar, communications, and electronic warfare; and artificial intelligence algorithms and analytics to make sense of the complexity that is exploding around us.</p>
<p>
STR is committed to creating a collaborative learning environment that supports deep technical understanding and recognizes the contributions and achievements of all team members. Our work is challenging, and we go home at night knowing that we pushed the envelope of technology and made the world safer.</p>
<p>
STR is not just any company. Our people, culture, and attitude along with their unique set of skills, experiences, and perspectives put us on a trajectory to change the world. We can't do it alone, though - we need fellow trailblazers. If you are one, join our team and help to keep our society safe! Visit us at www.str.us for more info.</p><p><br>
<i>
STR is an equal opportunity employer. We are fully dedicated to hiring the most qualified candidate regardless of race, color, religion, sex (including gender identity, sexual orientation and pregnancy), marital status, national origin, age, veteran status, disability, genetic information or any other characteristic protected by federal, state or local laws.</i></p>
<p><i>
If you need a reasonable accommodation for any portion of the employment process, email us at </i><i>appassist@str.us</i><i> and provide your contact info.</i></p>
<p><i>
Pursuant to applicable federal law and regulations, positions at STR require employees to obtain national security clearances and satisfy the requirements for compliance with export control and other applicable laws.</i></p></div></div>

Machine Learning Engineer

NetSage

<div><p>At NetSage, we are more than a government contractor&mdash;we are a mission-focused partner dedicated to advancing national security through exceptional cyber expertise. We believe our success begins with our people, which is why we invest in and care for our employees. We know that employee retention is mission continuity, and we are committed to building long-term careers where our people can grow alongside our customers' evolving missions. Our employees enjoy meaningful work, competitive compensation, outstanding benefits, and opportunities to expand their skills across multiple mission areas. To learn more about our comprehensive benefits and what it's like to build your career at NetSage, visit our <b>Careers </b>page.</p>
<p>
Due to the sensitive nature of the work we support, some job descriptions intentionally provide a high-level overview of the role. If you'd like to learn more about a particular opportunity, we encourage you to apply directly or connect with us through our <b>Get In Touch</b> page. We'd be happy to discuss how your experience aligns with our mission and explore where you can make an impact.</p>
<p><b>
Job Description:</b></p>
<p>
We are seeking a Principal Artificial Intelligence (AI) Software Engineer to design and deliver advanced artificial intelligence and machine learning (AI/ML) solutions that enhance intelligence analysis and operational decision-making. In this role, you will lead the development and operationalization of advanced AI-enabled applications integrating machine learning, large language models (LLMs), and modern software engineering practices to automate complex workflows and deliver mission-focused capabilities. The ideal candidate for this position will possess deep expertise in AI/ML technologies, software architecture, and cloud-native application development, with a proven ability to translate emerging technologies into scalable, operational solutions. Please consider applying if you meet the following qualifications.</p>
<p><b>
Required Qualifications:</b></p>
<ul>
<li>TS/SCI with polygraph security clearance.</li>
<li>A Bachelor of Science (B.S.) degree in Computer Science or a related field and eleven (11) years of relevant experience. Also acceptable are a Doctoral degree (PH.D.) and seven (7) years, a Master of Science (M.S.) degree and nine (9) years, or an Associate of Science (A.S.) degree and thirteen (13) years of relevant experience.</li>
<li>Proficiency with object-oriented languages like Java and Python.</li>
<li>Experience designing and developing AI/ML applications using modern software engineering methodologies.</li>
<li>Experience working with LLMs and generative AI technologies.</li>
<li>Experience with modern deep learning architectures, including deep neural networks (DNNs), recurrent neural networks (RNNs), and attention-based architectures.</li>
<li>Experience with ML techniques, including classification, clustering, collaborative filtering, semantic search, and information retrieval.</li>
<li>Experience using Jupyter Notebooks.</li>
</ul>
<p><b>Desired Qualifications:</b></p>
<ul>
<li>Experience implementing retrieval-augmented generation (RAG), Model Context Protocol (MCP), and AI agent frameworks.</li>
<li>Experience designing autonomous or agentic AI systems.</li>
<li>Strong understanding of statistical modeling, probability theory, Bayesian inference, covariance analysis, and machine learning fundamentals.</li></ul></div>

AI Software Engineer-Principal

Google

<div><h3 class="jobSectionHeader"><b>Minimum qualifications:</b></h3><ul>
<li>Bachelor&rsquo;s degree or equivalent practical experience.</li>
<li>2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.</li></ul><br>
<h3 class="jobSectionHeader"><b>
Preferred qualifications:</b></h3><ul>
<li>Master's degree or PhD in Computer Science or related technical fields.</li>
<li>2 years of experience building and developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage, or hardware architecture.</li>
<li>2 years of experience with data structures and algorithms in either an academic or industry setting.</li>
<li>Experience in developing and deploying AI/ML models and algorithms.</li>
<li>Experience with version control systems (e.g., Git) and software development tools (e.g., IDEs, CI/CD pipelines).</li>
<li>Proficiency in one or more programming languages commonly used in software development, such as Python, Java, or C++.</li>
</ul><div><h2 class="jobSectionHeader"><b>About the job</b></h2>
The AI/ML Foundations team is a group of engineers and data scientists tasked with building the foundations for engineering excellence and prototyping helpful, internal-facing AI/ML products. We partner with teams across the company to apply Google&rsquo;s best AI/ML techniques to Google&rsquo;s biggest opportunities across various enterprise domains (marketing, legal, finance, etc.).<br>
<br>
Our team's mission is to enable partner teams to succeed in their AI/ML projects through the use of differing engagement models, ranging from consulting to productionizing and deploying models. Build cross-functional AI/ML agents and services for use across Google. Educate product teams on AI/ML techniques and infrastructure. Build infrastructure to make this infrastructure easier for other teams to use<br>
<br>
If you are looking for a new team focused on applied machine learning, excited about learning from AI/ML experts across Google, and want exposure to a wide range of cross-domain use cases, we want to talk to you! We are hoping to attract folks with some prior AI/ML experience and experience in the Google toolset.<p>
The Core team builds the technical foundation behind Google&rsquo;s flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across Google&rsquo;s products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company.</p>
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
<br>
<br>
US: $147000 - $210000 (USD) + 15% bonus target + equity + benefits<br>
<br>
Learn more about benefits at Google.</div><div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul>
<li>Design and maintain AI/ML solutions to business problems.</li>
<li>Collaborate with partner teams and business stakeholders to educate them and support their use of AI/ML.</li>
<li>Create templates and tools to support adoption of emerging technologies.</li>
<li>Create proofs of concept and well-lit paths for agent infrastructure.</li>
<li>Identify opportunities to build shared solutions to common problems.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Software Engineer III, AI/ML Machine Learning, Core

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