327 Principal Machine Learning Engineer jobs in Los Angeles

Our client, a renowned leader in developing advanced AI systems, is looking for a Principal Machine Learning Engineer specializing in AI Safety to join their fully remote, high-impact team. This role is at the cutting edge of AI development, focusing on ensuring the safety, security, and robustness of our sophisticated machine learning models and platforms. You will be instrumental in designing, implementing, and deploying advanced safety mechanisms, including adversarial robustness techniques, bias detection and mitigation algorithms, and explainability methods. The ideal candidate possesses a deep technical understanding of machine learning, a passion for safety, and the ability to work independently and collaboratively in a distributed environment. You will pioneer research and development efforts that safeguard AI systems against unintended consequences and malicious attacks. Key Responsibilities:

• Design, develop, and implement state-of-the-art AI safety and security techniques.
• Build and deploy robust machine learning models with a focus on adversarial robustness, fairness, and explainability.
• Conduct thorough security and safety assessments of AI systems and infrastructure.
• Develop and maintain automated testing frameworks for AI safety evaluations.
• Collaborate with research scientists and engineers to integrate safety features into AI models.
• Research and stay abreast of the latest advancements in AI safety, security, and privacy.
• Document and present findings, methodologies, and recommendations to technical and non-technical audiences.
• Mentor junior engineers and contribute to the team's technical growth.
• Identify and mitigate potential risks associated with AI deployment.
• Contribute to the development of internal tools and libraries for AI safety.

Qualifications:

• Ph.D. or Master's degree in Computer Science, Machine Learning, or a related field, with a strong emphasis on AI safety or security.
• Minimum of 10 years of experience in machine learning engineering, with at least 5 years dedicated to AI safety, security, or related areas.
• Expertise in various machine learning techniques, deep learning frameworks (e.g., TensorFlow, PyTorch), and MLOps.
• Proven experience in developing and implementing methods for adversarial robustness, bias detection/mitigation, and model explainability.
• Strong programming skills in Python and C++.
• Excellent understanding of cryptography, secure coding practices, and system security principles.
• Ability to conduct complex research and translate findings into practical engineering solutions.
• Exceptional problem-solving and analytical skills.
• Strong communication and collaboration skills, with experience working in remote teams.
• A proactive mindset and a commitment to building safe and trustworthy AI.

This is an unparalleled opportunity to significantly impact the future of artificial intelligence by ensuring its safe and responsible advancement, all within a flexible remote work environment.

Our client is seeking a visionary Principal Machine Learning Engineer to lead cutting-edge research and development efforts within their fully remote engineering organization. This is a unique opportunity to architect and implement advanced machine learning solutions that will drive innovation and business impact. You will be at the forefront of designing, building, and deploying sophisticated ML models and systems, tackling complex challenges in areas such as natural language processing, computer vision, or predictive analytics. This role demands deep technical expertise, a strong understanding of statistical modeling, and experience with large-scale data processing and distributed systems. You will mentor other engineers, influence technical strategy, and contribute to the growth of our client's AI capabilities.

Responsibilities:

• Lead the design, development, and deployment of advanced machine learning models and algorithms.
• Architect and build scalable ML systems and infrastructure.
• Conduct research into new ML techniques and technologies to solve challenging business problems.
• Collaborate with product managers and engineers to define ML requirements and product roadmaps.
• Develop and implement strategies for data collection, preprocessing, and feature engineering.
• Train, evaluate, and deploy ML models, ensuring optimal performance and robustness.
• Troubleshoot and debug complex ML systems and pipelines.
• Mentor and guide junior machine learning engineers and data scientists.
• Drive best practices in ML development, including version control, testing, and MLOps.
• Stay current with the latest advancements in AI, machine learning, and related fields.
• Communicate technical findings and recommendations to both technical and non-technical stakeholders.
• Contribute to the overall technical vision and strategy for AI/ML at the company.

Qualifications:

• Ph.D. or M.S. in Computer Science, Machine Learning, Statistics, or a related quantitative field.
• 10+ years of professional experience in machine learning or a related field, with a significant portion in a senior or lead capacity.
• Proven track record of successfully developing and deploying production-level ML models.
• Deep expertise in ML algorithms, statistical modeling, and data mining techniques.
• Proficiency in programming languages such as Python and experience with ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Experience with big data technologies (e.g., Spark, Hadoop) and distributed computing frameworks.
• Familiarity with cloud platforms (AWS, Azure, GCP) and their ML services.
• Strong understanding of MLOps principles and tools for managing the ML lifecycle.
• Excellent problem-solving, analytical, and critical thinking skills.
• Exceptional communication and leadership skills, suitable for a remote-first environment.

This is a fully remote position offering the flexibility to work from anywhere, a highly competitive compensation package, and the chance to shape the future of AI within a forward-thinking organization.

Our client, a cutting-edge AI research and development firm, is seeking a highly accomplished and visionary Principal Machine Learning Engineer with a specialization in Natural Language Processing (NLP) to join their elite, fully remote team. This is a unique opportunity to lead the design, development, and deployment of state-of-the-art NLP models and systems that power innovative products and services. You will be instrumental in pushing the boundaries of what's possible in language understanding, generation, and interaction.

As a Principal Engineer, you will mentor junior team members, contribute to strategic technical direction, and collaborate with cross-functional teams to translate complex business problems into robust, scalable machine learning solutions. The ideal candidate possesses a Ph.D. or Master's degree in a relevant field, a deep understanding of NLP techniques (e.g., transformers, sequence-to-sequence models, sentiment analysis, named entity recognition), and a proven track record of shipping production-level ML systems. You thrive in a collaborative, fast-paced, and research-intensive environment, and are passionate about leveraging AI to solve challenging real-world problems.

Responsibilities:

• Lead the research, design, and implementation of advanced NLP models and algorithms for various applications, including text classification, summarization, question answering, and machine translation.
• Develop and optimize production-ready NLP pipelines, ensuring scalability, efficiency, and robustness.
• Collaborate with product managers and data scientists to define ML requirements and translate them into technical specifications.
• Mentor and guide junior machine learning engineers and researchers, fostering a culture of technical excellence.
• Stay at the forefront of NLP research, evaluating and incorporating state-of-the-art techniques and technologies.
• Contribute to the overall ML strategy and architectural decisions for the company.
• Develop and maintain comprehensive documentation for models, algorithms, and systems.
• Implement and advocate for best practices in MLOps, including model deployment, monitoring, and versioning.
• Conduct rigorous experimentation and evaluation of ML models to ensure performance and accuracy.
• Present technical findings and research results to both technical and non-technical audiences.

Qualifications:

• Ph.D. or Master's degree in Computer Science, Machine Learning, Computational Linguistics, or a related quantitative field.
• 8+ years of experience in machine learning, with a strong focus on NLP and deep learning techniques.
• Proven track record of developing and deploying production-grade NLP systems at scale.
• Expertise in NLP frameworks and libraries such as TensorFlow, PyTorch, spaCy, Hugging Face Transformers.
• Proficiency in Python and experience with ML/DL frameworks.
• Deep understanding of various NLP tasks, models (e.g., BERT, GPT, LSTM, CNNs), and evaluation metrics.
• Experience with cloud platforms (AWS, Azure, GCP) and ML infrastructure.
• Strong software engineering skills, including version control (Git), testing, and CI/CD.
• Excellent analytical, problem-solving, and research skills.
• Outstanding communication and collaboration abilities, with experience leading technical initiatives.
• Ability to work independently and thrive in a remote, fast-paced research environment.

This is a high-impact role for an experienced ML leader to shape the future of AI-driven language technologies, offering unparalleled opportunities for innovation and professional growth.

Our client, a trailblazer in AI & Emerging Technologies, is seeking a highly accomplished Principal Machine Learning Engineer specializing in Computer Vision to join their innovative team in Los Angeles, California . This role is at the forefront of developing cutting-edge AI solutions that push the boundaries of what's possible. You will be responsible for designing, developing, and deploying sophisticated machine learning models and algorithms for complex computer vision tasks, including object detection, image segmentation, facial recognition, and scene understanding. The ideal candidate possesses a Master's or Ph.D. in Computer Science, Machine Learning, or a related quantitative field, along with extensive experience in deep learning frameworks and a strong portfolio of contributions to advanced AI projects. You will collaborate closely with a world-class team of researchers and engineers to bring novel AI technologies from concept to production.

Key Responsibilities:

• Design, develop, and implement advanced machine learning models and algorithms for computer vision applications.
• Build and optimize deep learning architectures for image recognition, object detection, and other visual tasks.
• Develop robust data pipelines for training and evaluating large-scale computer vision models.
• Collaborate with cross-functional teams (research, software engineering, product management) to define requirements and deliver AI solutions.
• Deploy machine learning models into production environments, ensuring scalability, performance, and reliability.
• Conduct rigorous experimentation and performance analysis of models and algorithms.
• Stay up-to-date with the latest research and advancements in computer vision and machine learning.
• Mentor junior engineers and contribute to the team's technical growth.
• Contribute to the company's intellectual property through publications and patents.
• Evaluate and integrate new tools, technologies, and frameworks to improve development processes.

Qualifications:

• Master's or Ph.D. in Computer Science, Machine Learning, Electrical Engineering, or a related quantitative field.
• 7+ years of experience in machine learning engineering, with a strong focus on computer vision.
• Proven expertise in deep learning frameworks such as TensorFlow, PyTorch, or Keras.
• Proficiency in programming languages like Python, C++, and relevant libraries (e.g., OpenCV, scikit-image).
• Experience with large-scale datasets and distributed training techniques.
• Strong understanding of classical computer vision algorithms and techniques.
• Experience with cloud platforms (AWS, Azure, GCP) and ML deployment strategies.
• Excellent problem-solving, analytical, and algorithmic thinking skills.
• Strong communication and collaboration abilities.
• Experience leading complex ML projects is a plus.

This is an exceptional opportunity for a seasoned ML professional to contribute to groundbreaking AI innovations in a fast-paced and collaborative environment. Our client offers a highly competitive salary, comprehensive benefits, and the chance to work on challenging and impactful projects.

Snap Inc ( is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company's three core products are Snapchat ( , a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio ( , an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles ( .
Snap Engineering ( teams build fun and technically sophisticated products that reach hundreds of millions of Snapchatters around the world, every day. We're deeply committed to the well-being of everyone in our global community, which is why our values ( are at the root of everything we do. We move fast, with precision, and always execute with privacy at the forefront.
We're looking for a Principal Machine Learning Engineer to join the Content Relevance team Snap!
What you'll do:
+ Drive the technical roadmap of the Content Relevance team and optimize our personalized video recommendation systems
+ Advance the core ML capabilities and design, implement, and scale the overall architecture of the content recommendation systems, ensuring scalability, performance, and reliability
+ Collaborate with cross-functional teams to align on machine learning strategies to meet company objectives
+ Stay up-to-date with the latest technology in machine learning and apply this knowledge to tackle complex problems in innovative ways
+ Collaborate with leadership to up-level the ML tech stack and improve the performance of the organization
+ Work across teams to understand product requirements, evaluate trade-offs, and deliver the solutions needed to build innovative products or services
+ Advocate for and apply best practices when it comes to availability, scalability, operational excellence, and cost management
+ Provide technical direction that influences the entire company
Knowledge, Skills & Abilities:
+ Strong understanding of machine learning and deep learning approaches and algorithms, and their applications to advertising, recommendation, and/or search domain
+ Experience setting the direction for a team whose primary output is online ranking / recommendation models
+ Ability to design, train, and optimize advanced machine learning models
+ Excellent programming and software design skills
+ Ability to proactively learn new concepts and technology and apply them at work
+ Skilled at solving ambiguous problems and leading and executing complex technical initiatives
+ Strong collaboration and mentorship skills
Minimum Qualifications:
+ Bachelor's in a technical field such as computer science, mathematics, statistics or equivalent years of experience
+ 9+ years of industry machine learning experience
+ 2+ years of experience as a technical lead
+ Experience developing and shipping performant and scalable machine learning models for recommendation or ranking use cases
Preferred Qualifications:
+ Experience with recommendation systems
+ Experience with TensorFlow, PyTorch, or related deep learning frameworks
+ Advanced degree in a related field such as machine learning, computer vision, or mathematics
+ Experience partnering with cross-functional executives and management across a globally distributed organization and exercising sound judgment
+ Track record of delivery in rapidly changing, highly collaborative, multi-site, multi-stakeholder environments
+ Experience working with a diverse group of engineers
+ Experience contributing to AI publications
If you have a disability or special need that requires accommodation, please don't be shy and provide us some information ( .
"Default Together" Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. To reflect this, we practice a "default together" approach and expect our team members to work in an office 4+ days per week.
At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. EOE, including disability/vets.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, where applicable).
Our Benefits ( : Snap Inc. is its own community, so we've got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap's long-term success!
Compensation
In the United States, work locations are assigned a pay zone which determines the salary range for the position. The successful candidate's starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. The starting pay may be negotiable within the salary range for the position. These pay zones may be modified in the future.
Zone A (CA, WA, NYC) ( :
The base salary range for this position is $276,000-$14,000 annually.
Zone B ( :
The base salary range for this position is 262,000- 393,000 annually.
Zone C ( :
The base salary range for this position is 235,000- 352,000 annually.
This position is eligible for equity in the form of RSUs.
**A Decade of Snap ( **:** Learn about our origin story, values, mission, culture of innovation, and more.
**CitizenSnap ( **:** In our third annual CitizenSnap Report, we demonstrate progress towards our environmental, social, and governance (ESG) goals, and we lay out our plans looking forward.
**The DEI Innovation Summit ( **:** Watch highlights from the 2nd annual DEI Innovation Summit, which brings together thought leaders and DEI experts for a day of courageous conversations to enable bold action.
**Snap News ( **:** Stay up to date on the latest and greatest product and innovation news at Snap
Applicant and Candidate Privacy Policy (

Snap Inc ( is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company's three core products are Snapchat ( , a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio ( , an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles ( .
Snap Engineering ( teams build fun and technically sophisticated products that reach hundreds of millions of Snapchatters around the world, every day. We're deeply committed to the well-being of everyone in our global community, which is why our values ( are at the root of everything we do. We move fast, with precision, and always execute with privacy at the forefront.
We're looking for a Principal Machine Learning Engineer to join Snap's ML Inference Platform team!
What you'll do:
+ Design, implement, and scale critical machine learning components and services to support Snap's most strategic initiatives
+ Design and build a next-generation inference framework and services that can support large-scale model, high-throughput serving, enabling us to push the limits of what's possible with machine learning
+ Perform model and inference optimization with various GPUs to improve model inference speed and efficiency
+ Work across teams to understand product requirements, evaluate trade-offs, and deliver the solutions needed to build innovative products or services
+ Advocate for and apply best practices when it comes to availability, scalability, operational excellence, and cost management
+ Provide technical direction that influences the entire company
Knowledge, Skills & Abilities:
+ Strong understanding of machine learning approaches and algorithms
+ Excellent programming and software design skills, including debugging, performance analysis, and test design
+ Proven track record of operating highly-available systems at scale
+ Ability to proactively learn new concepts and technology and apply them at work
+ Skilled at solving ambiguous problems
+ Strong collaboration and mentorship skills
Minimum Qualifications:
+ BS in technical field such as computer science, mathematics, statistics or equivalent years of experience
+ 9+ years of post-Bachelor's machine learning experience; or a Master's degree in a technical field + 8+ year of post-grad ML experience; or a PhD in a related technical field + 5+ years of post-grad sML experience
+ 2+ years of experience as a technical lead
+ Experience with GPU/TPU inference and optimizations
Preferred Qualifications:
+ Masters/PhD in a technical field such as computer science
+ Experience leading teams and driving technical roadmaps
+ Experience working with machine learning, recommendation and ranking systems, or vector similarity search
+ Experience with TensorFlow, PyTorch, or related deep learning frameworks
+ Experience with Docker, Kubernetes, Ray, NoSQL solutions, Memcache/Redis, Google/AWS services
+ Experienced in MLOps and managing production machine learning lifecycle
If you have a disability or special need that requires accommodation, please don't be shy and provide us some information ( .
"Default Together" Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. To reflect this, we practice a "default together" approach and expect our team members to work in an office 4+ days per week.
At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. EOE, including disability/vets.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, where applicable).
Our Benefits ( : Snap Inc. is its own community, so we've got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap's long-term success!
Compensation
In the United States, work locations are assigned a pay zone which determines the salary range for the position. The successful candidate's starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. The starting pay may be negotiable within the salary range for the position. These pay zones may be modified in the future.
Zone A (CA, WA, NYC) ( :
The base salary range for this position is $276,000-$14,000 annually.
Zone B ( :
The base salary range for this position is 262,000- 393,000 annually.
Zone C ( :
The base salary range for this position is 235,000- 352,000 annually.
This position is eligible for equity in the form of RSUs.
**A Decade of Snap ( **:** Learn about our origin story, values, mission, culture of innovation, and more.
**CitizenSnap ( **:** In our third annual CitizenSnap Report, we demonstrate progress towards our environmental, social, and governance (ESG) goals, and we lay out our plans looking forward.
**The DEI Innovation Summit ( **:** Watch highlights from the 2nd annual DEI Innovation Summit, which brings together thought leaders and DEI experts for a day of courageous conversations to enable bold action.
**Snap News ( **:** Stay up to date on the latest and greatest product and innovation news at Snap
Applicant and Candidate Privacy Policy (

Our client, a cutting-edge technology firm, is looking for a highly skilled and experienced Lead AI Engineer to spearhead innovative projects in Machine Learning and Computer Vision. This hybrid role offers the best of both worlds, combining collaborative in-office sessions with the flexibility of remote work. You will be responsible for leading a team of talented AI researchers and engineers, driving the development and deployment of advanced AI models that solve complex real-world problems. Your expertise will be crucial in architecting scalable ML pipelines, from data ingestion and preprocessing to model training, evaluation, and deployment. You will play a pivotal role in defining the AI strategy, identifying new opportunities for AI integration, and ensuring the robustness and efficiency of our AI systems. The ideal candidate possesses a deep theoretical understanding of ML algorithms, statistical modeling, and computer vision techniques, coupled with hands-on experience in deploying AI solutions in production environments. Proficiency in Python and popular ML frameworks like TensorFlow, PyTorch, and scikit-learn is a must. Experience with cloud platforms (AWS, Azure, GCP) and big data technologies is also highly desirable. You will mentor junior team members, foster a culture of innovation, and present findings to stakeholders. Strong communication and leadership skills are essential for this role. We seek candidates who are passionate about AI, driven by curiosity, and committed to delivering impactful results. The opportunity to work on challenging and transformative projects in Los Angeles, California, US , awaits you.

Responsibilities:

• Lead the design, development, and implementation of AI/ML models and systems.
• Oversee the entire ML lifecycle, including data collection, feature engineering, model training, validation, and deployment.
• Develop and manage scalable ML pipelines and infrastructure.
• Conduct research into new AI techniques and technologies to enhance product capabilities.
• Collaborate with product managers and software engineers to integrate AI solutions.
• Mentor and guide junior AI engineers and data scientists.
• Evaluate and benchmark model performance, identifying areas for improvement.
• Present technical findings and strategic recommendations to leadership and stakeholders.
• Ensure the ethical and responsible development of AI systems.

Qualifications:

• Master's or Ph.D. in Computer Science, Artificial Intelligence, or a related field.
• 5+ years of experience in AI/ML engineering, with a focus on Machine Learning and Computer Vision.
• Proven experience leading technical teams and projects.
• Expertise in Python programming and ML libraries (TensorFlow, PyTorch, Keras, scikit-learn).
• Strong understanding of computer vision algorithms (e.g., CNNs, object detection, image segmentation).
• Experience with cloud computing platforms (AWS, Azure, GCP).
• Familiarity with big data technologies (e.g., Spark, Hadoop).
• Excellent problem-solving, analytical, and communication skills.
• Demonstrated ability to translate business needs into technical AI solutions.

This role offers a competitive salary, comprehensive benefits, and the chance to shape the future of artificial intelligence in a collaborative environment located in Los Angeles, California, US . Join our team and make a difference.

Our client is seeking a highly motivated and experienced Senior Machine Learning Engineer to join their cutting-edge AI and Emerging Technologies division. This role is pivotal in developing and implementing advanced AI models, with a specific focus on ensuring ethical considerations and fairness in all deployed systems. The ideal candidate will possess a deep understanding of machine learning algorithms, statistical modeling, and proficiency in programming languages like Python. You will be instrumental in researching, designing, and deploying novel AI solutions that not only push technological boundaries but also adhere to stringent ethical guidelines.

Responsibilities:

• Design, develop, and deploy sophisticated machine learning models for various applications, including natural language processing, computer vision, and predictive analytics.
• Conduct in-depth research into AI ethics, bias detection, and fairness metrics, developing frameworks and tools to mitigate potential issues.
• Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to integrate AI solutions into our client's product ecosystem.
• Implement and optimize model training pipelines, ensuring scalability, efficiency, and robustness.
• Stay abreast of the latest advancements in AI, machine learning, and AI ethics, contributing to the company's thought leadership.
• Develop and maintain comprehensive documentation for AI models and ethical frameworks.
• Mentor junior engineers and contribute to the technical growth of the team.
• Work closely with legal and compliance teams to ensure AI systems meet regulatory requirements.
• Perform rigorous testing and validation of AI models to ensure accuracy, fairness, and reliability.
• Contribute to the development of internal best practices for AI development and deployment.

Qualifications:

• Master's or Ph.D. in Computer Science, Artificial Intelligence, Statistics, or a related quantitative field.
• 5+ years of professional experience in machine learning engineering or a related role.
• Proven experience in developing and deploying production-level machine learning models.
• Strong understanding of fairness, accountability, transparency, and ethics in AI (FATE).
• Expertise in Python and ML libraries such as TensorFlow, PyTorch, scikit-learn, and Pandas.
• Experience with cloud platforms (AWS, GCP, Azure) and distributed computing frameworks.
• Excellent problem-solving, analytical, and communication skills.
• Ability to work effectively in a collaborative, fast-paced environment.
• Experience with data visualization tools and techniques.
• Demonstrated ability to lead projects and mentor team members.

This is an exciting opportunity to make a significant impact in the rapidly evolving field of Artificial Intelligence, working at the forefront of innovation and ethical responsibility. Join us in shaping the future of AI. This role is based in the vibrant city of Los Angeles, California, US .

**THE COMPANY**
**Silvus Technologies** is dedicated to one mission: connecting those who keep us safe. We do so by delivering the most advanced Mobile Ad-hoc Network (MANET) radios powered by our custom and ever-evolving Mobile-Networked MIMO waveform. Together, our radios and waveform provide the vital communications for mission critical applications in the harshest environments from underground tunnels to high altitude balloons.
Silvus StreamCaster® radios are being rapidly adopted by customers all over the world ranging from the U.S Departments of Defense, to International, Federal, State and Local Law Enforcement agencies, all the way to the Super Bowl, Grammys and industry-leading drone, robot, and other unmanned systems manufacturers.
_Wouldn't you like to join an incredibly talented group of people, doing very challenging work, with the prime directive of "_ Keeping Our Heroes Connected ( _"?_
Silvus' rapid growth is fueled by a focus on research and innovation and a team of the most passionate, skilled, and creative thinking individuals. _If you are looking for a challenging experience, you owe it to yourself to learn how Silvus can provide a rewarding opportunity that creates a pathway to a fulfilling career._
THE OPPORTUNITY
Silvus is seeking a **_Machine Learning Engineer_** with a strong background in wireless communications to join our innovative _R&D team_ . This role will report to the _R&D Director, Machine Learning_ and will focus on applying machine learning and data-driven techniques to improve the performance, efficiency, and adaptability of Silvus' advanced MIMO radios and wireless networking systems. The successful individual in this role will work closely with experts in wireless communications, DSP, networking, and embedded systems to develop ML-driven features that solve real-world problems in dynamic and challenging RF environments.
This position is based at Silvus Technologies' headquarters in the heart of vibrant **West Los Angeles,** **CA** and is on a hybrid schedule; a minimum of 3 days onsite per week is expected. On-site days are Mondays, Wednesdays, and Thursdays.
The following is a list of at least some of the current essential job functions of the position. Management may assign or reassign duties and responsibilities at any time at its discretion.
ROLE AND RESPONSIBILITIES
+ Research, design, and implement machine learning algorithms to enhance performance in wireless communication systems (e.g., link adaptation, interference mitigation, anomaly detection, spectrum sensing).
+ Analyze real-world RF datasets to extract insights and develop predictive models.
+ Develop software prototypes and integrate ML algorithms with Silvus' radio firmware and networking stack.
+ Collaborate with cross-functional teams to define ML use cases and evaluate the impact of deployed models.
+ Contribute to the design of data pipelines and infrastructure for training, testing, and validating models.
+ Participate in performance benchmarking and iterative improvement cycles.
+ Stay current with the latest Machine Learning research for wireless and embedded systems.
REQUIRED QUALIFICATIONS
+ M.S. or Ph.D. in Electrical Engineering, Computer Science, or a related field.
+ Minimum of 3 years of experience in machine learning, with demonstrated application to real-world problems; 1 year of machine learning experience with a PhD.
+ Strong foundation in supervised and unsupervised learning, signal processing, and statistical modeling.
+ Experience with Python ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn, etc.).
+ Familiarity with wireless communication concepts (e.g., PHY/MAC layers, MIMO, OFDM, spectrum access, SDRs).
+ Proficiency in MATLAB or C/C++ for signal processing algorithm development.
+ Security Clearance: Active U.S. Government SECRET clearance or the ability to obtain one within 12 months of hire.
+ **Must be a U.S. Citizen** due to clients under U.S. government contracts.
PREFERRED KNOWLEDGE, SKILLS AND ABILITIES
+ Excellent communication and collaboration skills.
+ Demonstrated experience with RF signal classification, anomaly detection, or spectrum monitoring.
+ Familiarity with embedded ML, real-time systems, or deploying ML on edge devices.
+ Background in adaptive modulation, beamforming, or cognitive radio techniques.
+ Experience working with wireless standards such as 3GPP, IEEE 802.11/15, or military waveforms.
+ Experience with GPU acceleration or model optimization for constrained environments.
WORKING CONDITIONS & PHYSICAL REQUIREMENTS
+ Office environment.
+ Outdoor environment for demos.
+ Occasional exposure to heat, cold, and allergens while performing tests or demonstrations in the field.
+ While performing the duties of this job, the employee is required to do the following:
+ Lift equipment up to 20 lbs. for the set-up of demonstrations and testing.
+ Perform bending and reaching movements to place items on lower and higher shelves.
**COMPENSATION**
_The pay range is NOT a guarantee. It is based on market research and peer data, and will vary depending on the candidate's experience and qualifications._
CA Pay Range
$120,000-$160,000 USD
**NOTE - As a U.S. Federal Contractor, Silvus Technologies requires that ALL candidates being considered for employment for any position (regardless of level) MUST be a U.S. Person (permanent resident or citizen). Stricter U.S. Citizen ONLY requirements are needed for some Engineering or R&D roles. This generally does NOT apply to International positions; only job postings for positions located in the U.S. Exceptions will be included in the Required Qualifications section of the posted position.**
**_All Employment is contingent upon the successful clearance of a background check._**
Silvus is proud to be an equal-opportunity employer, and we value diversity. We do not discriminate on the basis of race, color, age, religion or belief, ancestry, national origin, sex (including pregnancy), sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, physical or mental disability, protected veteran status, genetic information, political affiliation, or any other factor protected by applicable federal, state, or local laws.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive benefits and privileges of employment. Please contact us to request accommodation.
_*Silvus does not accept unsolicited resumes from individual recruiters or third-party recruiting agencies in response to job postings. No fee will be paid to third parties who submit unsolicited candidates directly to Silvus Technologies._