processing engineer

Voxelmaps

<div><div>Voxelmaps is seeking to hire <b>Junior Level Data Processing Engineers</b> to support our data processing and mapping operations. This role will focus on handling, transforming, and validating large datasets generated from mapping systems. This is a full-time role with an immediate start date.</div>
<div></div><div>Candidates are required to have strong experience working in Linux environments, the ability to read and modify Python scripts, and hands-on experience working with Docker containers and Git version control.</div>
<div>Selected candidates will be involved in executing and maintaining data processing workflows, troubleshooting pipeline issues, and supporting our data operations team.</div>
<div></div><div><b>You must live in Austin, Texas OR El Paso, Texas </b><b>or be willing to relocate</b><b> &ndash; as we have business operations in these locations.</b></div>
<div></div><div><b>What we expect from the candidate:</b></div>
<ul><li>Ability to work independently and manage data processing tasks efficiently</li>
<li>Strong problem-solving skills and attention to detail</li>
<li>Ability to follow technical instructions and troubleshoot issues</li>
<li>Good communication skills and ability to work in a team</li>
<li>Ability to handle large datasets and work in a fast-paced environment</li>
<li>Ownership mindset with the ability to deliver consistent results</li>
</ul><div><b>Required Experience:</b></div>
<ul><li>Strong experience with <b>Linux</b>, including:
<ul><li>Bash scripting</li>
<li>File system operations and permissions</li>
<li>Process monitoring</li>
<li>Working via SSH</li>
<li>Mounting network shares</li>
</ul></li><li>Experience with <b>Python 3</b>:
<ul><li>Ability to read, modify, and debug scripts</li>
</ul></li><li>Experience with <b>Docker</b>:
<ul><li>Running containers</li>
<li>Managing images</li>
<li>Retrieving logs</li>
<li>Understanding volume mounts</li>
</ul></li><li>Working knowledge of <b>Git</b>:
<ul><li>Checkout and commit workflows</li>
<li>Basic branching</li>
</ul></li><li>Ability to troubleshoot technical issues and follow structured workflows</li>
</ul><div><b>Good to have:</b></div>
<ul><li>Experience with orchestration frameworks such as <b>Dagster, Apache Airflow, or Prefect</b></li>
<li>Experience using <b>AWS CLI</b> (S3 data upload/download)</li>
<li>Familiarity with <b>PDAL</b> and point cloud data processing</li>
<li>Experience with <b>ROS</b>, including command-line tools such as rosbag</li>
</ul><div><b>Preferred Background:</b></div>
<ul><li>2+ years of experience in data processing, data engineering, or similar technical roles</li>
<li>Experience working with large datasets or data pipelines</li>
<li>Experience supporting production-level data workflows</li>
</ul><div><b>Pay:</b></div>
<div><b>Austin, Texas:</b></div>
<ul><li>$72K &ndash; $83K per year (depending on experience)</li>
</ul><div><b>Job Type:</b></div>
<ul><li>Full Time</li>
<li>Benefits package</li>
</ul><div><b>Location:</b></div>
<ul><li>Austin, Texas</li>
</ul><div><b>Work Model:</b></div>
<ul><li>Office environment (Austin office required)</li>
</ul><div><b>Recruitment Process:</b></div>
<div>Application &gt; Screening Interview &gt; Technical Evaluation &gt; Final Interview &gt; Decision &gt; Hire &gt; Probation Period Evaluation</div>
<div></div><div><b>DO NOT CONTACT THE HIRING MANAGER DIRECTLY. YOU MUST FOLLOW THE APPLICATION PROCESS</b></div>
<div></div><div><b>About us:</b><br>
<b>Voxelmaps Inc. was originally a spin-off from Navmii, one of the leading navigation and mapping companies in the world. Voxelmap&rsquo;s mission is to build a true 4D volumetric model of the planet, combining visual, spatial and temporal data to create the most detailed map of the world. It does this using a unique patent-pending technology using MRVOGs (Multi-Resolution, Voxel Occupancy Grids).</b><br>
</div><div><b>The company is headquartered in Austin, Texas, USA and works with some of the world&rsquo;s largest companies across North America and Europe. Further information: https://www.voxelmaps.com</b><br>
</div><div><b>EEO Statement: Voxelmaps is an equal opportunity employer. All qualified applicants will receive consideration for employment. Supplier shall not discriminate against any worker based on age, disability, ethnicity, gender, marital status, national origin, political affiliation, color, race, religion, sexual orientation, gender identity or expression, union membership, protected veteran status, genetic information, or any other status protected by country law, in hiring and other employment practices. Supplier shall not require pregnancy or medical tests, except where required by applicable laws or regulations or prudent for workplace safety, and shall not improperly discriminate based on test results.</b><br>
</div><div><b>DISCLAIMER: All claims and offers to compensation, rewards, and onboarding procedures are at the sole discretion of Voxelmaps.</b></div></div>

Data Processing Engineer

Draper

<div><p><b>Overview:</b></p><p>
Draper is an independent, nonprofit research and development company headquartered in Cambridge, MA. The 2,000+ employees of Draper tackle important national challenges with a promise of delivering successful and usable solutions. From military defense and space exploration to biomedical engineering, lives often depend on the solutions we provide. Our multidisciplinary teams of engineers and scientists work in a collaborative environment that inspires the cross-fertilization of ideas necessary for true innovation. For more information about Draper, visit www.draper.com.</p><p></p><p><b>
Job Description Summary:</b></p>
Draper's Acoustic and Vibration Technologies group is seeking a signal processing professional to develop computational methods for technology that solves critical problems of national importance. As an Acoustic Signal Processing Engineer, your role will focus on the research and development of sensing and communications systems, from concept through design and delivery. You will also contribute to the development of presentations, proposals, and whitepapers that sustain and win customer business.<p></p><p><b>
Job Description:</b></p><div><b>
Duties/Responsibilities</b><br>
<ul><li>Develops and applies advanced design methods, theories, and research techniques.</li><li>Analyzes, develops, and recommends design approaches to meet prototype or production requirements.
</li><li>Responsible for planning and conducting hardware projects or phases of projects.
</li><li>Develops and applies advanced design methods, theories, and research techniques.
</li><li>May provide technical consultation and work leadership to other team members.
</li><li>Development of quantum, optical, and/or photonic sensors and instruments.</li><li>Provide recommendations for performance improvements and cost reduction efforts.
</li><li>Apply quantitative analysis in determining root cause of highly technical problems and propose, develop and implement solutions for corrective action.</li><li>Develop and maintain effective internal/external relationships</li><li>Performs other related duties as assigned.</li></ul><br>
<b>
Skills/Abilities</b><br>
<ul><li>Proficiency in programming language.</li><li>Ability to write software routines to run laboratory experiments including data collection, storage, and basic data reduction.
</li><li>Demonstrated consistency, accountability and flexibility managing multiple and competing priorities.</li><li>Proven ability to lead technical solutions to complex user requirements.</li><li>Excellent communication, technical writing, oral presentation, and interpersonal skills.</li></ul><br>
<b>
Education</b><br>
Requires a bachelor's or master's degree in physics, applied physics, electrical engineering, optics, or similar. PhD degree preferred.<br>
<br>
<b>Experience</b><br>
3-5 years experience in Physics Engineering or related with a bachelor's degree.<br>
0-3 years experience in Physics Engineering or related with a master's degree.</div><p></p><p><b>
Additional Job Description:</b></p><p>
The ideal candidate will use their scientific background in audio, acoustic, or vibration applications to develop various technologies, including:</p><p></p><ul><li>
custom and COTS sensors/systems in various form factors, including MEMS, that are used for advanced acoustic and vibration sensing, as well as RF, optic, magnetic, inertial, and other related modalities</li><li>
analog signal conditioning architectures with low-noise pre-amplifiers, analog-to-digital &amp; digital-to-analog converters, and complex analog filtering</li><li>
embedded digital signal processors (FPGAs, microcontrollers, and ASICs) to implement DSP algorithms for filtering, classification, and control</li><li>
simulation and modeling of acoustic and other phenomenology that includes the relevant physics, sensors, and signal processing methods</li></ul><p></p><p>
Candidates should be familiar with several of the following signal processing principles and techniques:</p><br>
<ul><li>
Phased acoustic arrays, beamforming, Kalman filters, etc.</li><li>
Audio and speech feature identification/classification</li><li>
Stochastic analysis for sensors and signals</li><li>
Continuous and discrete-time filter design and implementation</li><li>
Communications (modulation, demodulator, channel modeling, synchronous detection, etc.)</li><li>
Control systems (classical and/or modern)</li></ul><p></p><p>
Candidates should have experience with the following engineering hardware and software tools:</p><p></p><ul><li>
Familiar with C, C++, and/or MATLAB (Python) for algorithm development on a variety of devices and instruments</li><li>
Familiar with LTspice, MATLAB (Python), Simulink, COMSOL and/or other multi-domain modeling applications</li><li>
Familiar with Audio Precision, National Instruments, Liquid Instruments, and/or similar test and data acquisition systems</li></ul><p></p><p>
Applicants selected for this position will be requires to obtain and maintain a US government security clearance.</p><p></p><p>
Connect With Draper for Future Opportunities! If you don't find the right posting in our Career Opportunities, you may submit your resume for future consideration.</p><p></p><p><b>
Job Location - City:</b></p>
Cambridge<p></p><p><b>
Job Location - State:</b></p>
Massachusetts<p></p><p><b>
Job Location - Postal Code:</b></p>
02139-3563<p></p><p>
The US base salary range for this full-time position is</p>
$75,000.00 - $150,000.00<p><i>
Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. </i><i>Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Union ranges will be in compliance with the collective bargaining agreement's approved rates by location and role.</i><i> </i><i>Your recruiter can share more about the specific salary range for your preferred location during the hiring process.</i><i> </i><i>Please note that the compensation details listed in US role postings reflect the base salary only, and does not include bonuses or benefits.</i></p><p></p><p>
Our work is very important to us, but so is our life outside of work. Draper supports many programs to improve work-life balance including workplace flexibility, employee clubs ranging from photography to yoga, health and finance workshops, off site social events and discounts to local museums and cultural activities. If this specific job opportunity and the chance to work at a nationally renowned R&amp;D innovation company appeals to you, apply now www.draper.com/careers.</p><p></p><p>
Draper is committed to creating an inclusive environment. We understand the value of inclusivity and its impact on a high-performance culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, national origin, veteran status, or genetic information. Draper is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. To request reasonable accommodation, please contact hr@draper.com.</p></div>

Acoustic Signal Processing Engineer

ICR, Inc.

<div><div><div><b>DSP Software Engineer</b><br>
Aurora, CO or Meridian, CO (Location is at program discretion)</div>
<div></div><div>Applications will be accepted on an ongoing basis.</div>
<div></div><div><b>Essential Duties and Responsibilities</b></div>
<ul><li>Design, implementation, test, and integration of Software incorporating DSP algorithms and techniques.</li>
<li>Design and development of software applications.</li>
<li>Document and communicate technical research results effectively to technical and non-technical user groups.</li>
</ul>
<div></div><div>The ideal candidate will have outstanding technical talent, effective oral and written communication skills, passion about his or her work, is excited by learning about and applying new technologies, and has a sense of ownership about his or her work and an entrepreneurial spirit. He or she will have some coursework or experience with software design, C/C++, signal processing algorithm design, GPUs, MATLAB.</div>
<div></div><div><b>Required Skills and Qualifications</b></div>
<div>An ABET (EAC/CAC) accredited Bachelor of Science Degree in EE or CE is strongly preferred, or an equivalent Bachelor&rsquo;s degree in an associated technical education with 3+ years related experience will be considered.</div>
<ul><li>Coursework in signal processing and software.</li>
<li>High level of self-initiative and self-motivation with the ability to work under minimal supervision.</li>
<li>Ability to work effectively in small team settings to solve complex problems.</li>
<li>Experience with C/C++</li>
<li>Experience with MATLAB</li>
<li>Knowledge of stochastic signal processing and digital communications.</li>
<li>Excellent organization, decision making, and verbal and written communication skills.</li>
<li>Exceptional problem-solving skills.</li>
<li>Familiarity with Python and/or other programming languages</li>
<li>Knowledge of Linux and associated development tools.</li>
<li>Familiarity with code revision management tools such as Git/Clearcase/Bitbucket is a plus.</li>
<li>Minimum three (3) years of experience.</li>
<li>Must have Top Secret with SCI security clearance</li>
</ul>
<div></div><div><b>Preferred Skills and Qualifications</b></div>
<ul><li>Master&rsquo;s or Ph.D. degree in Electrical/Computer Engineering.</li>
<li>Five (5) years of experience.</li>
<li>Experience with Digital Signal Processing (DSP) algorithms implementation in Software and FPGAs</li>
<li>Experience with GPUs for high performance signal processing computing</li>
<li>Experience with modern communication modulations (FSK, OFDM, QAM, etc.)</li>
<li>Experience with distributed software version control systems and continuous integration, such as git</li>
</ul>
<div></div><div><div>Salary Range: $123,219 - $236,579</div>
<div></div><div><i>This position offers a comprehensive benefits package that includes company equity, retirement plan, company-paid health care benefits, flexible paid time off policy, and opportunity for a raise and bonus during the year.</i></div>
<div></div><div><div>ICR, Inc. considers several factors when extending job offers, including but not limited to candidates&rsquo; key skills, relevant work and/or military experience, education, training certifications and work location.</div><br>
<div></div><div><div><i>ICR is proud to be an equal opportunity employer and considers qualified applicants for employment without regard to race, color, creed, religion, national origin, sex, sexual orientation, gender identity and expression, age, disability, veteran status, or any other protected factor.</i></div></div></div></div></div></div>

Digital Signal Processing (DSP) Engineer - Aurora, CO or Meridian, CO

IntelliSense.io

<div>
 <strong>
  Mining Technology Engineer (Metallurgist)
  <br/>
  <br/>
 </strong>
 <strong>
  Join IntelliSense.io as a Mining Technology Engineer!
  <br/>
  <br/>
 </strong>
 Shape the Future of Mining with IntelliSense.io
 <br/>
 <br/>
 Are you a plant-based metallurgist who thrives on improving recovery, stabilising circuits, and turning data into operational performance?
 <br/>
 <br/>
 IntelliSense.io is seeking a talented and motivated
 <strong>
  Mining Technology Engineer (Metallurgist)
 </strong>
 to support our expansion into the Kingdom of Saudi Arabia as one of our first technical hires in the region.
 <br/>
 <br/>
 We are pioneers in Objective AI (ODAI), integrating fundamental physics with AI to characterise the physical world and deliver
 <em>
  high-value decision recommendations
 </em>
 acting as the brains of the operation. Our technology delivers recommendations to humans as their role-specific
 <em>
  co-pilots
 </em>
 augment human intelligence or direct to the execution systems (machines) making operations
 <em>
  autonomous
 </em>
 .
 <br/>
 <br/>
 With a global, remote-first workforce and regional hubs in the UK, Australia, Chile, and Ireland, we are now expanding our presence in the Middle East, particularly in Saudi Arabia, a global leader in mining development under
 <strong>
  Vision 2030
 </strong>
 .
 <br/>
 <br/>
 Your Responsibilities
 <br/>
 <br/>
 <ul>
  <li>
   Lead the implementation of AI-driven optimisation solutions within mineral processing plants across Saudi Arabia.
  </li>
  <li>
   Work closely with site metallurgists, plant managers, and operations teams to identify performance improvement opportunities.
  </li>
  <li>
   Analyse plant data to diagnose variability, recovery losses, bottlenecks, and constraint limitations.
  </li>
  <li>
   Support optimisation of crushing, grinding, flotation, leaching, thickening, and other processing circuits (commodity dependent).
  </li>
  <li>
   Translate metallurgical testwork and operational insights into digital models and performance improvement strategies.
  </li>
  <li>
   Help configure and calibrate AI models to reflect real plant behaviour and metallurgical constraints.
  </li>
  <li>
   Monitor and validate performance improvements in throughput, recovery, reagent consumption, and stability.
  </li>
  <li>
   Provide training and ongoing technical support to site teams to ensure adoption and sustained value.
  </li>
  <li>
   Act as the technical bridge between plant operations and IntelliSense.io&rsquo;s engineering and product teams.
  </li>
  <li>
   Support business growth through client engagement, technical credibility, and solution expansion.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 What You Bring
 <br/>
 <br/>
 <li>
  A degree in Metallurgy, Mineral Processing, Chemical Engineering, or a related discipline.
 </li>
 <li>
  3+ years of hands-on plant metallurgical experience in a mining operation.
 </li>
 <li>
  Strong understanding of:
 </li>
 <ul>
  <li>
   Plant mass balancing and reconciliation
  </li>
  <li>
   Recovery optimisation and circuit stability
  </li>
  <li>
   Metallurgical accounting
  </li>
  <li>
   Process control fundamentals
  </li>
  <li>
   Sources of variability in mineral processing operations
  </li>
  <li>
   Experience working with plant engineers, control systems, or operational data platforms.
  </li>
  <li>
   Practical knowledge of flotation, leaching, or other plant circuits.
  </li>
  <li>
   Ability to interpret operational data and translate it into actionable improvements.
  </li>
  <li>
   Strong analytical and problem-solving capabilities.
  </li>
  <li>
   Excellent communication skills and the ability to engage cross-functional teams.
  </li>
  <li>
   Fluency in English and Arabic is essential.
  </li>
  <li>
   Willingness to travel regularly to mining sites across Saudi Arabia and internationally. A valid driving licence is required.
  </li>
  <li>
   Openness to travel to the United Kingdom for onboarding and training.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 What We Offer
 <br/>
 <br/>
 <ul>
  <li>
   Competitive salary and benefits package in line with local market standards
  </li>
  <li>
   Remote-first and flexible working model
  </li>
  <li>
   Generous paid time off (annual leave and public holidays per Saudi Labour Law)
  </li>
  <li>
   Paid parental and sick leave
  </li>
  <li>
   A chance to be part of Saudi Arabia&rsquo;s mining transformation and contribute to Vision 2030
  </li>
  <li>
   A fast-paced, supportive international environment with significant career growth opportunities
  </li>
  <li>
   A chance to be one of the first employees in the Middle East region, supporting and helping to shape a fast growing industrial AI business
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 Be Part of the Future
 <br/>
 <br/>
 If you're excited about the intersection of AI, mining, and industrial innovation, we&rsquo;d love to hear from you.
 <br/>
 <br/>
 <strong>
  Note:
 </strong>
 This role is open to Saudi nationals and expatriates with the legal right to work in the Kingdom. IntelliSense.io is an equal opportunity employer and values diversity in our teams.
</div>


Metallurgist (KSA)

<div><h1 class="jobSectionHeader"><b>Mining Technology Engineer (Metallurgist)</b></h1><h1 class="jobSectionHeader"><b>
Join IntelliSense.io as a Mining Technology Engineer!</b></h1><h2 class="jobSectionHeader"><b>
Shape the Future of Mining with IntelliSense.io</b></h2><p>
Are you a plant-based metallurgist who thrives on improving recovery, stabilising circuits, and turning data into operational performance?</p><p>
IntelliSense.io is seeking a talented and motivated <b>Mining Technology Engineer (Metallurgist)</b> to support our expansion into the Kingdom of Saudi Arabia as one of our first technical hires in the region.</p><p>
We are pioneers in Objective AI (ODAI), integrating fundamental physics with AI to characterise the physical world and deliver <i>high-value decision recommendations</i> acting as the brains of the operation. Our technology delivers recommendations to humans as their role-specific <i>co-pilots</i> augment human intelligence or direct to the execution systems (machines) making operations <i>autonomous</i>.
</p><p>With a global, remote-first workforce and regional hubs in the UK, Australia, Chile, and Ireland, we are now expanding our presence in the Middle East, particularly in Saudi Arabia, a global leader in mining development under <b>Vision 2030</b>.</p><h2 class="jobSectionHeader"><b>
Your Responsibilities</b></h2><ul><li><p>
Lead the implementation of AI-driven optimisation solutions within mineral processing plants across Saudi Arabia.</p></li><li><p>
Work closely with site metallurgists, plant managers, and operations teams to identify performance improvement opportunities.</p></li><li><p>
Analyse plant data to diagnose variability, recovery losses, bottlenecks, and constraint limitations.</p></li><li><p>
Support optimisation of crushing, grinding, flotation, leaching, thickening, and other processing circuits (commodity dependent).</p></li><li><p>
Translate metallurgical testwork and operational insights into digital models and performance improvement strategies.</p></li><li><p>
Help configure and calibrate AI models to reflect real plant behaviour and metallurgical constraints.</p></li><li><p>
Monitor and validate performance improvements in throughput, recovery, reagent consumption, and stability.</p></li><li><p>
Provide training and ongoing technical support to site teams to ensure adoption and sustained value.</p></li><li><p>
Act as the technical bridge between plant operations and IntelliSense.io&rsquo;s engineering and product teams.</p></li><li><p>
Support business growth through client engagement, technical credibility, and solution expansion.</p></li></ul><h2 class="jobSectionHeader"><b>
What You Bring</b></h2><ul><li><p>
A degree in Metallurgy, Mineral Processing, Chemical Engineering, or a related discipline.</p></li><li><p>
3+ years of hands-on plant metallurgical experience in a mining operation.</p></li><li>
Strong understanding of:<ul><li><p>
Plant mass balancing and reconciliation</p></li><li><p>
Recovery optimisation and circuit stability</p></li><li><p>
Metallurgical accounting</p></li><li><p>
Process control fundamentals</p></li><li><p>
Sources of variability in mineral processing operations</p></li></ul></li></ul><ul><li><p>
Experience working with plant engineers, control systems, or operational data platforms.</p></li><li><p>
Practical knowledge of flotation, leaching, or other plant circuits.</p></li><li><p>
Ability to interpret operational data and translate it into actionable improvements.</p></li><li><p>
Strong analytical and problem-solving capabilities.</p></li><li><p>
Excellent communication skills and the ability to engage cross-functional teams.</p></li><li><p>
Fluency in English and Arabic is essential.</p></li><li><p>
Willingness to travel regularly to mining sites across Saudi Arabia and internationally. A valid driving licence is required.</p></li><li><p>
Openness to travel to the United Kingdom for onboarding and training.</p></li></ul><h2 class="jobSectionHeader"><b>
What We Offer</b></h2><ul><li><p>
Competitive salary and benefits package in line with local market standards</p></li><li><p>
Remote-first and flexible working model</p></li><li><p>
Generous paid time off (annual leave and public holidays per Saudi Labour Law)</p></li><li><p>
Paid parental and sick leave</p></li><li><p>
A chance to be part of Saudi Arabia&rsquo;s mining transformation and contribute to <b>Vision 2030</b></p></li><li><p>
A fast-paced, supportive international environment with significant career growth opportunities</p></li><li><p>
A chance to be one of the first employees in the Middle East region, supporting and helping to shape a fast growing industrial AI business</p></li></ul><h2 class="jobSectionHeader"><b>
Be Part of the Future</b></h2><p>
If you're excited about the intersection of AI, mining, and industrial innovation, we&rsquo;d love to hear from you.</p><p><b>
Note:</b> This role is open to Saudi nationals and expatriates with the legal right to work in the Kingdom. IntelliSense.io is an equal opportunity employer and values diversity in our teams.</p></div>

Metallurgist

Akina, Inc

<div>
 View all jobs
 <br/>
 <br/>
 Software Engineer - 1 (Applied AI Engineer)
 <br/>
 <br/>
 Annapolis Junction, Maryland
 <br/>
 <br/>
 <ul>
  <li>
   Information Technology
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  TS/SCI - Polygraph Required
  <br/>
  <br/>
 </strong>
 20-016-049 SWE1 Software Engineer - 1 (Agentic Platform)
 <br/>
 <br/>
 <strong>
  Description
  <br/>
  <br/>
 </strong>
 We are seeking a Software Engineer to build and advance a cutting-edge agentic platform designed to power intelligent, autonomous workflows. In this role, you will integrate diverse data sources and external APIs with MCP tools to enable seamless, scalable system interoperability. You will collaborate closely with cyber analysts to translate operational challenges into effective technical solutions. The position involves hands-on development with agentic primitives such as skills, prompts, and subagents to create adaptive and context-aware capabilities. This is an opportunity to work at the forefront of AI-driven systems, shaping how agents operate, learn, and deliver impact in complex environments.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Develop agentic integrations with Python that leverage multiple AI models, APIs, and data sources in production.
  </li>
  <li>
   Build tools and agentic workflows within modern frameworks like PydanticAI, Langgraph, and DeepAgents.
  </li>
  <li>
   Work directly with key stakeholders and cyber analysts to understand operational workflows and identify high-impact automation opportunities.
  </li>
  <li>
   Design and implement real-time analytics pipelines in Python leveraging Apache Kafka for stream processing and Elasticsearch for indexing and querying.
  </li>
  <li>
   Maintain and troubleshoot a production grade agentic platform.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Skills Requirements:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Software development experience with strong Python proficiency.
  </li>
  <li>
   Hands on experience building and maintaining production applications servicing hundreds to thousands of users.
  </li>
  <li>
   Understanding of AI development concepts, including prompt engineering, context management, structured outputs, and tool/function calling.
  </li>
  <li>
   Experience developing resilient, scalable stream processing applications using modern messaging and event-streaming platforms.
  </li>
  <li>
   Experience leveraging AI coding assistants for code generation, refactoring, debugging, and automation.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Nice to Haves:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience with agentic workflows and multi-agent orchestration.
  </li>
  <li>
   Background in cybersecurity or understanding of security operations workflows.
  </li>
  <li>
   Managing deployments in AWS Cloud with Kubernetes.
  </li>
  <li>
   Gitlab CICD automation.
  </li>
  <li>
   Experience with retrieval systems (RAG, vector databases, semantic search).
  </li>
  <li>
   Analyzing cyber security-related data sets (network traffic, OS events).
  </li>
  <li>
   Knowledge of end-to-end SIGINT collection and analysis systems.
  </li>
  <li>
   Experience with production CNO capabilities and operations.
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  YOE Requirement:
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 3 yrs, B.S. or 4 additional yrs in place of B.S.
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  Location:
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 Contractor SCIF
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 $160k-$200k (Annually)*
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   *The range displayed above is a likely salary range for this position. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possible contractual requirements and could fall outside of this range.
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   Akina is a Woman Owned, Service Disabled, Veteran Owned, Small Business, looking for talented and ambitious individuals to join our team. We offer a generous compensation package that includes 24 days PTO accrued annually and 11 federal holidays. Our 401k is 100% vested on your start date and the company makes a direct contribution worth 10% of your salary. Akina covers 100% of healthcare costs for employees and 50% toward dependents. We offer educational assistance towards college classes and will cover costs associated with job related training and certifications Akina is committed to excellence and creating innovative and flexible solutions for our clients. We are a small company with an open ear to our employees' needs in order to attract and retain quality talent that enables our customer's mission.
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   We are an equal employment opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.
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   www.akina-inc.com/careers
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</div>


Software Engineer - 1 (Applied AI Engineer)

Apple

<p>Apple&rsquo;s Health Sensing team is seeking a versatile Machine Learning Engineer to develop next-generation health algorithms that deliver meaningful insights to users by combining classical ML, signal processing, and emerging generative AI techniques. Our team has delivered impactful features including heart rate notifications, ECG, blood oxygen, sleep apnea notifications, and overnight vitals to millions of Apple Watch users.<br>
<br>
<b>Description</b><br>
<br>
This role is ideal for an engineer who enjoys moving quickly from idea to prototype to product, creatively overcoming data limitations, and applying new tools to multi-modal sensor fusion problems in health and wellness. You will work across the full algorithm lifecycle including data strategy, modeling, evaluation, optimization, and deployment.&quot;,&quot;responsibilities&quot;:&quot;Develop and validate ML and GenAI-driven algorithms for health sensing applications from concept through productization<br>
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Prototype and compare multiple approaches using real and synthetic data to accelerate algorithm development<br>
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Design experiments and evaluation methodologies to quantify performance and guide algorithm improvements<br>
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Optimize algorithms for robustness, efficiency, and on-device deployment constraints<br>
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Work cross-functionally with user studies, hardware, software, and product teams to bring algorithms into product<br>
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Analyze failure modes, quantify tradeoffs, and drive data-driven algorithm improvements<br>
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<b>Preferred Qualifications</b><br>
<br>
Experience developing algorithms for physiological sensing using multi-modal data<br>
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Familiarity with on-device ML frameworks or resource-constrained optimization<br>
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Experience working with incomplete, noisy, or limited datasets<br>
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Background in experimental design and statistical validation<br>
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Experience with distributed or cloud-based ML workflows<br>
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Experience accelerating development through simulation, synthetic data, or creative data augmentation approaches<br>
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Self-driven, curious engineer comfortable taking ambiguous sensing problems from concept to working solutions<br>
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<b>Minimum Qualifications</b><br>
<br>
Bachelors degree in Computer Science, Electrical Engineering, Biomedical Engineering, Statistics, Applied Mathematics, or related field, or equivalent industry experience.<br>
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Strong foundation in machine learning, statistics, signal processing, or applied mathematics for real-world sensing problems<br>
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Experience applying modern AI techniques, including generative AI and agentic AI, to accelerate algorithm development, data generation, and performance evaluation<br>
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Proficiency in Python for algorithm development and optimization<br>
<br>
Demonstrated ability to rapidly prototype, evaluate multiple approaches, and iterate based on experimental results<br>
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Experience owning algorithm development from early exploration through validation and integration<br>
<br>
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant .<br>
<br>
<b>Pay &amp; Benefits</b><br>
<br>
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $139,500 and $258,100, and your base pay will depend on your skills, qualifications, experience, and location.<br>
<br>
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.<br>
<br>
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.</p>

Machine Learning Engineer

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