Explore 5 ai algorithm developer jobs from 2 hiring companies in Sturbridge, MA, US. Filter by remote, salary, experience, and company, then open any listing to apply.

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Ai Algorithm Developer

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Ai Algorithm Developer Jobs

Apple

MIT Lincoln Laboratory

Onsite

Hybrid

<p> </p>
<p>The Structural &amp; Thermal-Fluids Engineering Group provides innovative multidisciplinary engineering solutions for underwater, ground, air, and space-based prototype systems for national security applications.  Examples include the development of structural-material systems for space-based imaging and laser communication terminals, thermal management solutions spanning cryogenic to hypersonic applications, and aerodynamic designs and assessments to support unmanned aerial vehicles, airborne pods, and hypersonic platforms.  Engineering solutions are developed through the utilization of appropriate technologies coupled with high-fidelity models and multidisciplinary simulations, environmental testing, and the utilization of advanced materials to meet ever increasing performance, size, weight, and environmental challenges.</p>
<p> </p><div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="font-size:16.0px;word-wrap:break-word"><H2 style="font-size:1.0em;margin:0.0px">Position Description</H2></div><div><p> </p>
<p>Group 74 is seeking engineers with a combination of artificial intelligence / machine learning (AI/ML) algorithm development and engineering modeling expertise, e.g., fluid, structural, or thermal modeling.  Our engineers support a broad range of simulation, design, optimization, and test activities, and we develop innovative simulation capabilities to solve challenging engineering design problems across a broad array of applications ranging from low-speed aircraft to hypersonic systems and satellite design.  The Group employs machine learning methods within its modeling suite to achieve significant improvements in physics-based simulation, such as for aerodynamic analysis, to accelerate conceptual design. We seek engineers who are excited to contribute to these efforts by enhancing existing methods and implementing new cutting-edge AI/ML techniques to enable rapid and accurate concept design for a diverse set of complex and multidisciplinary problems.  This position offers opportunities to contribute to cutting-edge research, collaborate with leading experts, and develop innovative solutions to complex engineering challenges.</p>
<p> </p>
<p>The successful candidate will be part of an interdisciplinary engineering team contributing to the development of operational prototype hardware, spanning the full program life cycle from concept development to fielding and testing.  The position may require special security clearances and travel to meetings and field sites.</p>
<p> </p></div></div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="font-size:16.0px;word-wrap:break-word"><H2 style="font-size:1.0em;margin:0.0px">Minimum Qualifications</H2></div><div><p> </p>
<ul type="disc">
<li>M.S. in Aerospace Engineering, Mechanical Engineering, Computer Science, or related. Candidates with B.S. degree with three years’ experience will also be considered.</li>
<li>Experience developing and applying novel artificial intelligence and machine learning algorithms to solve engineering or scientific applications, such as through physics-informed machine learning, data-driven surrogate modeling, reinforcement learning, or agentic AI.</li>
<li>Proficiency in C++, Python, MATLAB, or similar for algorithm development and software integration.</li>
<li>Experience applying engineering software to design and analysis, e.g., fluid, structural, or thermal simulations.</li>
<li>Ability to work within an interdisciplinary team.</li>
<li>Ability to clearly communicate results in oral presentations and written reports.</li>
</ul>
<p> </p></div></div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="font-size:16.0px;word-wrap:break-word"><H2 style="font-size:1.0em;margin:0.0px">Preferred Qualifications</H2></div><div><p> </p>
<ul type="disc">
<li>Experience with high-performance computing (HPC) environments for large-scale simulations</li>
<li>Experience implementing multidisciplinary design optimization (MDO) frameworks.</li>
<li>Familiarity with software development best practices, including version control (e.g., Git).</li>
</ul>
<p> </p></div></div></div><p> </p>
<p>Recent Graduate Hiring Range: $116,400 - $140,000</p>
<p>Experienced Hiring Range: $116,400 - $182,200</p>
<p> </p>
<p><strong><em>Disclaimer: MIT Lincoln Laboratory provides a typical hiring range as a good faith estimate of what we reasonably expect to offer for this position at the time of posting. The final salary offered to a selected candidate will depend on various factors, including—but not limited to—the scope and responsibilities of the role, the candidate’s experience, skills and education/training, internal equity considerations and applicable legal requirements. This range reflects base salary only and does not include additional forms of compensation or benefits.</em></strong></p>
<p> </p>
<p>At MIT Lincoln Laboratory, our exceptional career opportunities include many outstanding benefits to help you stay healthy, feel supported, and enjoy a fulfilling work-life balance. Benefits offered to employees include: </p>
<p> </p>
<ul type="disc">
<li>Comprehensive health, dental, and vision plans</li>
<li>MIT-funded pension</li>
<li>Matching 401K</li>
<li>Paid leave (including vacation, sick, parental, military, etc.)</li>
<li>Tuition reimbursement and continuing education programs</li>
<li>Mentorship programs</li>
<li>A range of work-life balance options</li>
<li>... and much more!  </li>
</ul>
<p> </p>
<p><a href="https://hr.mit.edu/benefits">Please visit our Benefits page</a> for more information. As an employee of MIT, you can also take advantage of <a href="https://hr.mit.edu/benefits/additional">other voluntary benefits, discounts and perks</a>.</p>
<p> </p>
<p>Selected candidate will be subject to a pre-employment background investigation and must be able to obtain and maintain a Secret level DoD security clearance.</p>
<p> </p>
<p>MIT Lincoln Laboratory is an Equal Employment Opportunity (EEO) employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, veteran status, disability status, or genetic information; U.S. citizenship is required.</p>
<p> </p>
<p><strong>Requisition ID:</strong> 42958 </p>

AI/ML Engineer for Multidisciplinary Engineering Design-Associate Staff (Lexington, MA, US)

AI/ML Engineer

MS in aerospace, mechanical, or computer science; AI/ML algorithm development; proficiency in C++, Python, MATLAB; experience with engineering simulations; team collaboration and communication.

<p>Apple’s RF System Engineering team is seeking a motivated and dedicated expert to define the next generation of Cellular RF Receiver architectures. In this role, you will architect and deliver groundbreaking wireless solutions for future Apple products, working on today's 5G New Radio and blazing the path to 6G. You will have a unique opportunity to develop the core technologies that enable an outstanding wireless experience for millions of customers worldwide.</p><h3>Description</h3><p>In this role, you will drive the control architecture and algorithms for the RF receiver, collaborating across systems engineering, RF circuit design, digital implementation, platform architecture, software engineering, and production teams to define and deliver solutions that push the boundaries of performance, quality, and implementation efficiency.</p><h3>Minimum Qualifications</h3><ul><li>BSEE required.</li><li>Understanding of Cellular Radio/3GPP Standards (UMTS, LTE, 5G NR FR1/2) and familiarity with emerging 6G research directions.</li><li>Knowledge of RF receiver architectures from antenna to analog/digital base band processing including a comprehensive understanding of RF circuit impairments and their impact on system performance.</li><li>Good overview of cellular system use cases and RF/baseband interactions and procedures.</li><li>Proficiency in hardware/software co-design and a comprehensive grasp of the trade-offs inherent in digital hardware and software/firmware implementations.</li><li>Expert-level proficiency in Python or C++ is required.</li><li>Experience applying Artificial Intelligence (AI) or Machine Learning (ML) to improve multi-objective optimizations and accelerate engineering workflows.</li><li>Excellent analytical and problem-solving skills, with the ability to collaborate effectively in a global, multi-disciplinary team.</li></ul><h3>Preferred Qualifications</h3><ul><li>Expertise in microcontroller architectures used for real time operation and how to program them.</li><li>Proficiency in AI/ML native applications, with experience utilizing tools such as TensorFlow or PyTorch.</li><li>Knowledge of cellular modem architectures including their associated concepts and algorithms.</li><li>PhD degree with education focus in RF, especially on cellular receiver architectures.</li><li>System Engineering experience with a deep background in DSP for wireless communication systems. Experience in refining from abstract definition towards bit true reference models.</li><li>Proficiency in mathematical modeling and analysis, with the ability to build abstract system models leveraging control theory for understanding and designing control and closed-loop feedback systems, optimization theory for multi-objective trade-space analysis and statistical methods for performance modeling under uncertainty.</li></ul>

Cellular RF Receiver Algorithms Systems Engineer

BSEE; knowledge of 3GPP standards and RF receiver architectures; Python/C++; AI/ML applications; strong analytical and collaboration skills.

<p>Apple’s RF System Engineering team is seeking a motivated and dedicated expert to define the next generation of Cellular RF Receiver architectures. In this role, you will architect and deliver groundbreaking wireless solutions for future Apple products, working on today's 5G New Radio and blazing the path to 6G. You will have a unique opportunity to develop the core technologies that enable an outstanding wireless experience for millions of customers worldwide.</p><h3>Description</h3><p>In this role, you will drive the control architecture and algorithms for the RF receiver, collaborating across systems engineering, RF circuit design, digital implementation, platform architecture, software engineering, and production teams to define and deliver solutions that push the boundaries of performance, quality, and implementation efficiency.</p><h3>Minimum Qualifications</h3><ul><li>BS and 10+ years of relevant industry experience.</li><li>Understanding of Cellular Radio/3GPP Standards (UMTS, LTE, 5G NR FR1/2) and familiarity with emerging 6G research directions.</li><li>Proven knowledge of RF receiver architectures from antenna to analog/digital base band processing including a comprehensive understanding of RF circuit impairments and their impact on system performance.</li><li>Deep understanding of cellular system use cases and RF/baseband interactions and procedures.</li><li>System Engineering experience with a deep background in DSP for wireless communication systems. Experience in refining from abstract definition towards bit true reference models.</li><li>Proficiency in hardware/software co-design and a comprehensive grasp of the trade-offs inherent in digital hardware and software/firmware implementations.</li><li>Expert-level proficiency in Python or C++ is required.</li><li>Experience applying Artificial Intelligence (AI) or Machine Learning (ML) to improve multi-objective optimizations and accelerate engineering workflows.</li><li>Excellent analytical and problem-solving skills, with the ability to collaborate effectively in a global, multi-disciplinary team.</li></ul><h3>Preferred Qualifications</h3><ul><li>Expertise in microcontroller architectures used for real time operation and how to program them.</li><li>Proficiency in AI/ML native applications, with experience utilizing tools such as TensorFlow or PyTorch.</li><li>Familiarity with RFIC design, layout considerations, and semiconductor processes.</li><li>Knowledge of cellular modem architectures including their associated concepts and algorithms.</li><li>PhD degree with 3+ years of industry experience in RF, focus on cellular receiver architectures.</li><li>Proficiency in mathematical modeling and analysis, with the ability to build abstract system models leveraging control theory for understanding and designing control and closed-loop feedback systems, optimization theory for multi-objective trade-space analysis and statistical methods for performance modeling under uncertainty.</li></ul>

BS with 10+ years in RF/wireless, Python/C++, DSP, 3GPP/5G NR, AI/ML applications, and cross-functional collaboration.

BS with 10+ years in RF systems; strong 3GPP/5G NR knowledge; RF receiver architectures; DSP for wireless; Python or C++; AI/ML experience.

BSEE; strong knowledge of cellular standards (UMTS, LTE, 5G NR FR1/2) and RF receiver architectures; Python or C++ proficiency; AI/ML experience for optimization; excellent problem-solving and cross‑functional collaboration.

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