data engineer

ai/ml engineer

ai devops engineer

ai/ml developer

backend engineer

machine learning engineer

hatch IT

<div><p>hatch I.T. is partnering with Expression to find an<b> AI/ML Engineer</b>. See details below:</p>
<p><b>
About The Role:</b></p>
<p>
Expression is seeking an experienced AI/ML Engineer to design, optimize, and evaluate machine learning capabilities that operate efficiently on heterogeneous edge computing platforms. Working closely with software engineers, you will develop AI pipelines that enable intelligent signal characterization, data prioritization, distributed inference, and decision support while operating within constrained compute, bandwidth, and communications environments.</p>
<p>
The ideal candidate has strong expertise in applied machine learning, modern LLM technologies, edge AI optimization, and production deployment of AI systems.</p>
<p><b>
Security Clearance</b>: Eligible to obtain Secret or Top Secret Clearance (U.S citizenship required)</p>
<p><b>
About the Company:</b></p>
<p>
Founded in 1997 and headquartered in Washington DC, Expression provides data fusion, data analytics, software engineering, information technology, and electromagnetic spectrum management solutions to the U.S. Department of Defense, Department of State, and national security community. Expression&rsquo;s &ldquo;Perpetual Innovation&rdquo; culture focuses on creating immediate and sustainable value for their clients via agile delivery of tailored solutions built through constant engagement with their clients. Expression was ranked #1 on the Washington Technology 2018's Fast 50 list of fastest growing small business Government contractors and a Top 20 Big Data Solutions Provider by CIO Review.</p>
<h3 class="jobSectionHeader"><b>
Responsibilities:</b></h3><div>
<ul><li>Design and implement AI capabilities supporting intelligent data characterization, classification, prioritization, and decision support.</li>
<li>Evaluate, optimize, and deploy open-weight foundation models appropriate for resource-constrained edge environments.</li>
<li>Develop efficient inference pipelines supporting heterogeneous compute environments ranging from embedded processors to workstation-class systems.</li>
<li>Implement Retrieval-Augmented Generation (RAG), semantic search, and knowledge retrieval capabilities where appropriate.</li>
<li>Design AI orchestration workflows supporting distributed inference across multiple edge devices.</li>
<li>Develop evaluation methodologies for AI accuracy, latency, resource utilization, and operational performance.</li>
<li>Implement model monitoring, observability, testing, and automated evaluation frameworks.</li>
<li>Collaborate with software engineers to integrate AI models into production software platforms.</li>
<li>Optimize models using quantization, pruning, distillation deployment technologies.</li>
<li>Support experimentation involving multimodal data sources, sensor-derived features, and structured mission data.</li>
<li>Develop AI governance practices including model evaluation, explainability, responsible AI, and secure deployment.</li>
<li>Document model development, evaluation results, and technical recommendations.</li>
<li>Support customer demonstrations and prototype evaluations.</li>
</ul></div><h3 class="jobSectionHeader"><b>Qualifications:</b></h3><div>
<ul><li>Bachelor degree in Computer Science, Artificial Intelligence, Data Science, Electrical Engineering, Applied Mathematics, or related discipline. An advanced degree is preferred.</li>
<li>5-8+ years of professional experience developing production AI or machine learning applications.</li>
<li>Strong Python programming experience.</li>
<li>Experience with PyTorch.</li>
<li>Experience deploying LLMs in production environments.</li>
<li>Experience with LangGraph, LangChain, CrewAI, Semantic Kernel, or similar orchestration frameworks.</li>
<li>Experience implementing Retrieval-Augmented Generation (RAG).</li>
<li>Experience with vector databases and semantic search.</li>
<li>Experience deploying AI models on edge or resource-constrained devices.</li>
<li>Experience with model optimization techniques including quantization, model compression, or inference acceleration.</li>
<li>Experience designing evaluation frameworks for AI systems.</li>
<li>Experience with Docker and cloud-native AI deployment.</li>
<li>Excellent communication and collaboration skills.</li>
</ul></div><h3 class="jobSectionHeader"><b>Preferred Qualifications:
</b></h3><div><ul><li>Experience applying AI to sensor analytics, time-series data, or signal processing.</li>
<li>Experience with software-defined radio data, RF analytics, or geospatial data analytics.</li>
<li>Experience developing multimodal AI applications.</li>
<li>Experience deploying AI across distributed edge computing environments..</li>
<li>Experience supporting DoD, Intelligence Community, or Federal customers.</li>
<li>Experience working in bandwidth-constrained or disconnected operational environments.</li>
<li>Experience supporting National Security or Federal Civilian customers.</li>
</ul>
</div><div><div><p><b>Benefits:</b></p>
<p>
Expression offers competitive salaries and benefits, such as:</p>
<ul>
<li>401k matching</li>
<li>PPO and HDHP medical/dental/vision insurance</li>
<li>Education reimbursement up to $10,000/yr</li>
<li>Complimentary life insurance</li>
<li>Generous PTO and 11 days of holiday leave</li>
<li>Onsite gym facility and trainer</li>
<li>Commuter Benefits Plan</li>
<li>In-office Cold Brew Coffee</li>
</ul>
</div></div><p>We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. 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>

AI/ML Engineer

Agile Defense

<div><div><b>About Agile Defense</b></div>
<div></div>
<div>At Agile Defense we know that action defines the outcome and new challenges require new solutions. That&rsquo;s why we always look to the future and embrace change with an unmovable spirit and the courage to build for what comes next.</div>
<div></div>
<div>Our vision is to bring adaptive innovation to support our nation's most important missions through the seamless integration of advanced technologies, elite minds, and unparalleled agility&mdash;leveraging a foundation of speed, flexibility, and ingenuity to strengthen and protect our nation&rsquo;s vital interests.</div><div></div><div><br>
<div>
<div><b>Requisition #: </b>1756</div>
</div><div><b>Job Title:</b> Data Engineer - CDAO Central</div>
<div><b>Location:</b> On-Site, Washington, D.C.</div>
<div><b>Clearance Level: </b>Top Secret / SCI, Must Have Clearance to Start</div>
</div><h3 class="jobSectionHeader"><b>Job Description</b></h3><div>
Agile Defense is seeking a Data Scientist / Engineer to support the design, development, and operational deployment of scalable, AI-enabled data solutions within the Department of Defense&rsquo;s CDAO ADA IR program. This role is part of a multidisciplinary team integrating advanced analytics, machine learning, and engineering practices into mission-critical environments at Combatant Commands.</div>
<div><br>
You will help shape and deploy data pipelines, pre-processing workflows, feature engineering strategies, and machine learning services within secure, containerized environments. The ideal candidate brings a hybrid of statistical modeling fluency and hands-on software engineering expertise. You will collaborate closely with product managers, full-stack developers, platform engineers, and mission stakeholders to transform raw data into meaningful insights and decision-support tools.</div>
<div><br>
This role requires strong technical communication skills, a collaborative mindset, and experience working in agile environments that value reproducibility, testing, and continuous delivery. Familiarity with cloud-based data platforms such as Databricks, Palantir, or AWS-native data services is highly preferred.</div><h3 class="jobSectionHeader"><b>
Education and Background</b></h3><div>
Typically has a Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related field (masters degree preferred)., and 3+ years of experience in data engineering or software engineering, with demonstrated experience in designing and managing complex data pipelines., or equivalent relevant work experience; e.g., each year of work experience may be substituted for each year of education required.</div><h3 class="jobSectionHeader"><b>
Years of Experience</b></h3><div>
<div><div><div><div><div>3+ years</div>
</div>
</div></div></div></div><div></div><h3 class="jobSectionHeader"><b>Required Skills</b></h3><ul>
<li>Experience with data visualization and storytelling using tools such as Palantir's MSS Workshop and Slate applications</li>
</ul><h3 class="jobSectionHeader"><b>Preferred Skills</b></h3><ul>
<li>4+ years of experience in applied data science, Palantir Foundry development, or data pipeline development.</li>
<li>Proficient in Python, SQL, and distributed data frameworks (e.g., Spark, Databricks, PySpark).</li>
<li>Experience developing ML models from training to deployment using industry-standard tools and libraries (e.g., scikit-learn, TensorFlow, XGBoost).</li>
<li>Familiarity with MLOps, API development, and secure cloud-based environments (e.g., AWS, Azure, Palantir Foundry).</li>
<li>Strong understanding of data validation, model testing, and performance evaluation techniques.</li>
<li>Excellent technical communication skills, with the ability to explain complex concepts to non-technical audiences.</li>
</ul><h3 class="jobSectionHeader"><b>Working Conditions</b></h3><div>
Must be able to work onsite at a SCIF</div><div>
In addition, Agile Defense invests in its employees beyond just compensation. Agile&rsquo;s benefits offerings include, dependent upon position, Health Insurance, Life Insurance, Paid Time Off, Holiday Pay, short-term and long-term Disability, Retirement and Learning and Development opportunities as well as other optional benefit elections.</div><div><b>
Our Core Values</b></div>
<div></div>
<div>Employees of Agile Defense are our number one priority, and the importance we place on our culture here is fundamental. Our culture is alive and evolving, but it always stays true to its roots. Here, you are valued as a family member, and we believe that we can accomplish great things together. Agile Defense has been highly successful in the past few years due to our employees and the culture we create together.</div>
<div></div>
<div>What makes us Agile? We call it the 6Hs, the values that define our culture and guide everything we do. Together, these values infuse vibrancy, integrity, and a tireless work ethic into advancing the most important national security and critical civilian missions. It's how we show up every day. It's who we are.</div>
<div></div>
<ul><li><b>Happy </b>- Be Infectious. Happiness multiplies and creates a positive and connected environment where motivation and satisfaction have an outsized effect on everything we do.</li>
<li><b>Helpful</b> - Be Supportive. Being helpful is the foundation of teamwork, resulting in a supportive atmosphere where collaboration flourishes, and collective success is celebrated.</li>
<li><b>Honest</b> - Be Trustworthy. Honesty serves as our compass, ensuring transparent communication and ethical conduct, essential to who we are and the complex domains we support.</li>
<li><b>Humble</b> - Be Grounded. Success is not achieved alone, humility ensures a culture of mutual respect, encouraging open communication, and a willingness to learn from one another and take on any task.</li>
<li><b>Hungry </b>- Be Eager. Our hunger for excellence drives an insatiable appetite for innovation and continuous improvement, propelling us forward in the face of new and unprecedented challenges.</li>
<li><b>Hustle</b> - Be Driven. Hustle is reflected in our relentless work ethic, where we are each committed to going above and beyond to advance the mission and achieve success.</li>
</ul>
<div></div><div><b>Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities</b></div>
<p>
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. 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>

Data Engineer - CDAO Central

T-Rex Solutions

<div><p>T-Rex Solutions is looking to select an AI Prompt Engineer to support our Internal Revenue Service (IRS) EDOS program. The overall mission of this program is to modernize the IRS legacy Tax processing systems and is critical to the overall modernization of the IRS to improve taxpayer experience, increase voluntary compliance, and reduce the IRS's reliance on costly and unsustainable legacy technology. We are seeking an experienced AI Prompting Delivery Lead to drive our artificial intelligence initiatives, focusing on prompt engineering and strategic AI application development.</p>
<p><b>
Responsibilities:</b></p>
<ul>
<li>Lead and implement the development and optimization of prompt engineering strategies</li>
<li>Design and implement Retrieval-Augmented Generation (RAG) frameworks</li>
<li>Develop AI applications using Python and cloud services</li>
<li>Manage AI project delivery and support technical implementation</li>
<li>Collaborate with cross-functional teams to integrate AI solutions</li>
</ul>
<p><b>Requirements:</b></p>
<ul>
<li>Bachelor's Degree and 10+ years of overall experience</li>
<li>US Citizenship required</li>
<li>Must possess an active IRS MBI Clearance and have current GFE</li>
<li>Hands on experience with Azure OpenAI and AWS cloud services</li>
<li>Proficient in Python AI application development</li>
<li>Deep understanding of RAG frameworks and prompt engineering techniques</li>
<li>Strong project management and delivery leadership skills</li>
<li>Experience supporting complex AI/ML initiatives</li>
<li>Excellent communication and leadership skills</li>
<li>Machine learning model optimization</li>
<li>Advanced prompt engineering techniques</li>
<li>Cloud infrastructure management</li>
<li>Agile project delivery methodologies</li>
</ul>
<p><b>Desired Skills:</b></p>
<ul>
<li>Experience working with Large Language Models (LLMs)</li>
<li>AWS GovCloud experience</li>
<li>Strong Python development skills</li>
</ul>
<p><b>T-Rex Overview</b></p>
<p>
Established in 1999, T-Rex Solutions, LLC is a proven mid-tier business providing data-centric mission services to the Federal government as it increasingly tries to secure and leverage the power of data. We design, integrate, secure, and deploy advanced technical solutions for our customers so they can efficiently fulfill their critical objectives. T-Rex offers both IT and professional services to numerous Federal agencies and is a leader in providing high quality and innovative solutions in the areas of Cloud and Infrastructure Services, Cyber Security, and Big Data Engineering.</p>
<p>
T-Rex is constantly seeking qualified people to join our growing team. We have built a broad client base through our devotion to delivering quality products and customer service, and to do that we need quality individuals. But more than that, we at T-Rex are committed to creating a culture that supports the development of every employee's personal and professional lives. T-Rex has made a commitment to maintain the status of an industry leader in compensation packages and benefits which includes competitive salaries, performance bonuses, training and educational reimbursement, Transamerica 401(k) and Cigna healthcare benefits.</p>
<p>
T-Rex is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex (including pregnancy and sexual orientation), parental status, national origin, age, disability, family medical history or genetic information, political affiliation, military service, or other non-merit based factors.</p>
<p>
In compliance with pay transparency guidelines, the annual base salary range for this position is $90,000 - $135,000. Please note that the salary information is a general guideline only. T-Rex considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/training, key skills, internal peer equity, as well as market and business considerations when extending an offer.</p>
<p>
T-Rex offers a diverse and collaborative work environment, exciting opportunities for professional growth, and generous benefits, including: PTO available to use immediately upon joining (prorated based on start date), paid parental leave, individual and family health, vision, and dental benefits, annual budget for training, professional development and tuition reimbursement, and a 401(k) plan with company match fully vested after 60 days of employment among other benefits.</p></div>

AI Prompt Engineer

Speechify

<div><p>The mission of Speechify is to make sure that reading is never a barrier to learning.</p>
<p>
Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading &ndash; PDFs, books, Google Docs, news articles, websites &ndash; into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.
</p><p>Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting &ndash; Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.</p>
<p><b>
Overview</b></p>
<p>
We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.</p>
<p><b>
What You'll Do</b></p>
<ul>
<li>Be scrappy to find new sources of audio data and bring it into our ingestion pipeline</li>
<li>Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.</li>
<li>Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.</li>
<li>Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team's dataset roadmap to power Speechify's next-generation consumer and enterprise products.</li>
</ul>
<p><b>An Ideal Candidate Should Have</b></p>
<ul>
<li>BS/MS/PhD in Computer Science or a related field.</li>
<li>5+ years of industry experience in software development.</li>
<li>Proficiency with bash/Python scripting in Linux environments</li>
<li>Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)</li>
<li>Experience with web crawlers, large-scale data processing workflows is a plus</li>
<li>Ability to handle multiple tasks and adapt to changing priorities.</li>
<li>Strong communication skills, both written and verbal.</li>
</ul>
<p><b>What we offer</b></p>
<ul>
<li>A fast-growing environment where you can help shape the company and product.</li>
<li>An entrepreneurial-minded team that supports risk, intuition, and hustle.</li>
<li>A hands-off management approach so you can focus and do your best work.</li>
<li>An opportunity to make a big impact in a transformative industry.</li>
<li>Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.</li>
<li>Opportunity to work on a life-changing product that millions of people use.</li>
<li>Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.</li>
<li>Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.</li>
</ul>
<p><b>Compensation:</b> The <b>United States base salary</b> range for this full-time position is $140,000-$200,000 + bonus + equity depending on experience</p>
<p><b>
Think you're a good fit for this job?</b></p>
<p>
Tell us more about yourself and why you're interested in the role when you apply.
<br>
And don't forget to include links to your portfolio and LinkedIn.</p>
<p><b>
Not looking but know someone who would make a great fit?</b></p>
<p>
Refer them!</p>
<p><b>
Speechify is committed to a diverse and inclusive workplace.</b></p>
<p>
Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.</p></div>

Software Engineer, Data Infrastructure & Acquisition - Washington, DC, USA

Press Ganey

<div><p><b>Company Description</b></p><p>
Press Ganey is the leading experience measurement, data analytics, and insights provider for complex industries&mdash;a status we earned over decades of deep partnership with clients to help them understand and meet the needs of their key stakeholders. Our earliest roots are in U.S. healthcare &ndash;perhaps the most complex of all industries. Today we serve clients around the globe in every industry to help them improve the Human Experiences at the heart of their business. We serve our clients through an unparalleled offering that combines technology, data, and expertise to enable them to pinpoint and prioritize opportunities, accelerate improvement efforts and build lifetime loyalty among their customers and employees.</p><p></p><p>
Like all great companies, our success is a function of our people and our culture. Our employees have world-class talent, a collaborative work ethic, and a passion for the work that have earned us trusted advisor status among the world&rsquo;s most recognized brands. As a member of the team, you will help us create value for our clients, you will make us better through your contribution to the work and your voice in the process. Ours is a path of learning and continuous improvement; team efforts chart the course for corporate success.</p><p></p><p><b>
Our Mission:</b></p><p>
We empower organizations to deliver the best experiences. With industry expertise and technology, we turn data into insights that drive innovation and action.</p><p></p><p><b>
Our Values:</b></p><p>
To put Human Experience at the heart of organizations so every person can be seen and understood.</p><ul><li><p><b>
Energize the customer relationship:</b> Our clients are our partners. We make their goals our own, working side by side to turn challenges into solutions.</p></li><li><p><b>
Success starts with me:</b> Personal ownership fuels collective success. We each play our part and empower our teammates to do the same.</p></li><li><p><b>
Commit to learning:</b> Every win is a springboard. Every hurdle is a lesson. We use each experience as an opportunity to grow.</p></li><li><p><b>
Dare to innovate:</b> We challenge the status quo with creativity and innovation as our true north.</p></li><li><p><b>
Better together:</b> We check our egos at the door. We work together, so we win together.</p></li></ul><p></p><p>
Press Ganey is committed to providing reasonable accommodations to qualified individuals with disabilities or disabled veterans in the hiring process. If you need assistance or an accommodation to apply for a position online or for your interviews or assessments, please contact us at acommodations@pressganey.com Please provide your contact information and the details of your request so we can best assist you.</p><p>
Press Ganey is looking for a passionate and entrepreneurial Machine Learning Data Scientist III &ndash; Conversational AI to join our AI Solutions team. The AI Solutions team is focused on developing and supporting the latest AI innovations in experience intelligence from agentic text analytics to conversational interfaces to data.</p><p><br>
<br>
You will</p><ul><li><p>
Design, Develop, and evaluate Conversational AI Agents</p></li><li><p>
Work closely with AI Scientists and ML Engineers to imagine, design, and develop various Machine Learning and Generative AI products</p></li><li><p>
Leverage your Conversational AI experience to ensure alignment with current State-of-the-Art best practices throughout AI &amp; Machine Learning team</p></li><li><p>
Work closely with Responsible AI &amp; Model Validation Center of Excellence to support ethical development of AI Agents</p></li></ul><p></p><p><br>
You have</p><ul><li><p>
Master's degree in Computer Science, Artificial Intelligence, or related field</p></li><li><p>
5+ years of professional experience in Applied Research and/or Software Engineering</p></li><li><p>
Proven experience in Conversational AI / Dialogue Systems using Generative AI methods such as RAG, Deep Research Agents, Chain-of-Thought, Multi-agent architectures, etc.</p></li><li><p>
Proven experience with Generative AI toolkits and standards such as LangChain, LangGraph, MCP, ADK, A2A, etc.</p></li><li><p>
Strong understanding of Machine Learning, NLP, and Generative AI</p></li><li><p>
Excellent communication and cross-team collaboration skills</p></li></ul><p></p><p><br>
Preferred Qualifications</p><ul><li><p>
PhD in Computer Science, Artificial Intelligence, or related field</p></li><li><p>
Familiarity with data pipelines, ETL processes, and experience with distributed data frameworks like Apache Spark or Databricks.</p></li><li><p>
Experience with large-scale deployment tools and environments, including Docker, Kubernetes, and cloud platforms like Azure, AWS, or GCP.</p></li><li><p>
Involvement in Conversational AI research community</p></li></ul><p></p><p><b>
Don&rsquo;t meet every single requirement? </b>Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At Press Ganey we are dedicated to building a diverse, inclusive and authentic workplace, so if you&rsquo;re excited about this role but your past experience doesn&rsquo;t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.</p><p></p><p><b>
Additional Information for US based jobs:</b></p><p></p><p>
Press Ganey Associates LLC is an Equal Employment Opportunity/Affirmative Action employer and well committed to a diverse workforce. We do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, veteran status, and basis of disability or any other federal, state, or local protected class.</p><p></p><p>
Pay Transparency Non-Discrimination Notice &ndash; Press Ganey will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information.</p><p></p><div>
The expected base salary for this position ranges from $100,000 to $140,000. It is not typical for offers to be made at or near the top of the range. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, licensure or certifications obtained. Market and organizational factors are also considered. In addition to base salary and a competitive benefits package, successful candidates are eligible to receive a discretionary bonus or commission tied to achieved results.</div><p></p><p>
All your information will be kept confidential according to EEO guidelines.</p><p></p><p>
Our privacy policy can be found here: https://www.pressganey.com/legal-privacy/</p></div>

ML Data Scientist III

<div><p><b>About the Team:</b></p>
<p>
STR's Analytics &amp; C2 Division develops novel technologies to solve challenging national security problems through advanced analytics. Our team consists of passionate and motivated individuals with degrees in engineering, computer science, mathematics, physics, and data science. We use our expertise and creativity to take innovative ideas from conception to mature implementation in order to improve mission success.</p>
<p>
The Collaborative Autonomy and Control (CAC) Group in the AC2 Division works to build software systems that solve critical problems in the areas of uncrewed system autonomy, multi-agent collaboration, resource management, and control. By leveraging expertise in machine learning, algorithms, model-predictive control, and software development, we build tools that support tactical mission planning and execution, autonomous reasoning, and more.</p>
<p><b>
The Role:</b></p>
<p>
As an Autonomy Algorithms Lead Software Engineer, you will work as part of a tightly knit team to design, develop, implement, integrate, test, and demonstrate advanced algorithms and software systems for autonomous platforms. You will provide technical leadership and mentoring on programs working throughout the software and system development lifecycle, from early prototypes to integrated systems. Your work will develop a diverse set of software tools and applications for mission planning systems, automated control processes, unmanned platforms, DevSecOps, and CI/CD pipelines. This position is based in Woburn, MA or Arlington, VA, and will take advantage of STR's flexible, hybrid environment &ndash; when the work does not require use of STR's facilities, you are welcome to work remotely.</p>
<p><b>
Who You Are:</b></p>
<ul>
<li>Active Top Secret clearance with SCI eligibility, for which U.S citizenship is needed by the U.S government</li>
<li>BS in Computer Science or related technical field with 7+ years of experience</li>
<li>5+ years of experience with C++ or Java</li>
<li>Full stack development experience with a heavy focus on backend algorithmic development</li>
<li>Proven understanding of data structures, algorithms, concurrency, and code optimization of backend executables</li>
<li>Proven ability to develop, implement, integrate, and test autonomy algorithms and software</li>
<li>Not interested in Front end UI/UX or database management/interaction</li>
<li>Proven ability to work with research scientists to transition complex mathematical algorithmic concepts to software application</li>
<li>Proven ability to proactively lead and manage modest size engineering teams (5+ engineers) through complete Agile development lifecycle including task definition, delegation, and maintenance</li>
<li>Demonstrated success driving industry best practices in areas such as code review, unit testing, test coverage, static analysis, etc., to ensure mature, high quality software products</li>
<li>Experience in leading system/software architecture design</li>
<li>Comfortable working both with internal leadership and external customers in the development and execution of software product plans</li>
<li>Experience utilizing the following:
<ul><li>Object-Oriented Programming principles for large scale systems</li>
<li>Agile software lifecycle methodologies and tools, such as JIRA, Confluence, Gitlab, static analysis, etc</li>
<li>Test-driven development methodologies</li>
</ul></li></ul><ul><li>A demonstrated ability to adopt new languages, libraries, and technologies</li>
</ul>
<p><b>Even Better:</b></p>
<ul>
<li>MS or PhD in Computer Science or related technical field</li>
<li>Experience with the following:
<ul><li>Collection Orchestration</li>
<li>Satellite Constellation Management</li>
<li>Containerization and service-based architectures</li>
<li>Coordinating Electronic Warfare resources</li>
<li>Reinforcement learning</li>
<li>Agentic AI</li>
<li>Programming for embedded and physical devices</li>
<li>Multi-agent coordination of UxVs</li>
<li>MAVLINK or other C2 protocols</li>
<li>ROS</li>
<li>TAK</li>
<li>DevSecOps and CI/CD tool chains</li>
<li>Constraint satisfaction algorithms</li>
<li>Knowledge representation/ontologies</li>
<li>Python</li>
</ul>
</li></ul><p><b>Pay Information</b><br>
Full-Time Salary Range: $173,000 - $216,000</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>

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