11,091 Machine Learning Algorithms jobs in the United States

**Our vision is to transform how the world uses information to enrich life for** **_all_** **.**
Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever.
Analyze existing data sets to identify patterns, trends, and insights that can enhance machine learning model development. Design, implement, and iterate on machine learning models to address specific business challenges and enhance product functionality. Build knowledge by keeping up with latest advancements in machine learning and artificial intelligence (AI), integrating new techniques and technologies into our MLOPS development process. Build and maintain Data/Solution Pipeline Engineering to ensure a robust and scalable data infrastructure that supports the training and deployment of machine learning models. Collaborate on data preprocessing and feature engineering to enhance the quality of input data for machine learning models. Design and optimize data structures in data management systems (Cloud platforms - Snowflake, GCP, Azure) to enable AI/ML solutions. Build custom software components and analytics applications. Create/Maintain CI/CD pipelines of machine learning solutions in the cloud environment. Implement strategies for deploying machine learning models into production environments. Responsible for selecting best model to meet both model performance and minimize compute costs. Establish and maintain monitoring systems to track the performance of deployed models and facilitate continuous improvement. Collaborate with the Product and Engineering teams to identify opportunities for integrating machine learning and Generative artificial intelligence capabilities into Project solutions/platform. Collaborate with the Product team to design a Tactical roadmap for the adoption of machine learning technologies, paradigms & frameworks following organizations best practices. Work in a technical team through development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics using machine learning and artificial intelligence. Communicate findings, insights, and recommendations to both technical and nontechnical stakeholders in a clear and accessible manner. May telecommute parttime.
Employer will accept a Bachelor's degree in Computer Science, Machine Learning, Data Science, Statistics, Mathematics, or related field and 3 years of experience in the job offered or in an AI Engineer-related ccupation; Alternatively, employer will accept a Master's degree in Computer Science, Machine Learning, Data Science, Statistics, Mathematics, or related field and 1 year of experience in the job offered or in an AI Engineer-related occupation.
Position requires:
1. Building and executing end-to-end Machine Learning (ML) systems automating training, testing, and deploying ML models in cloud platforms;
2. Working with ML frameworks, including TensorFlow, PyTorch, scikit-learn;
3. Prediction (regression) and classification algorithms and deep learning, reinforcement learning and generative Artificial Intelligence (AI);
4. Programming skills in Python or Java;
5. Developing ML or AI solutions with either Python, AWS, AZURE, or GCP;
6. Using Docker, Kubernetes and containerization;
7. Using ETL to develop pipelines (Airflow/Kubeflow/Dataflow);
8. Writing and understanding SQL;
9. Data architecture, including data structures or data schemas.
As a world leader in the semiconductor industry, Micron is dedicated to your personal wellbeing and professional growth. Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future. We offer a choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget. Micron also provides benefit programs that help protect your income if you are unable to work due to illness or injury, and paid family leave. Additionally, Micron benefits include a robust paid time-off program and paid holidays. For additional information regarding the Benefit programs available, please see the Benefits Guide posted on micron.com/careers/benefits .
Micron is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws.
To learn about your **right to work click here. ( learn more about Micron, please visit **micron.com/careers**
For US Sites Only: To request assistance with the application process and/or for reasonable accommodations, please contact Micron's People Organization at or (select option #3)
Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards.
Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron.
AI alert **:** Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification.
Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.

Description
The Machine Learning Engineer will be responsible for creating and implementing scalable machine learning models to support our business objectives. You will collaborate with data scientists, engineers, and product teams to build intelligent systems that process large-scale data and provide actionable insights.
Key Responsibilities:
+ Design, develop, and optimize machine learning models and algorithms for real-world applications.
+ Build and maintain scalable data pipelines to preprocess, clean, and analyze large datasets.
+ Deploy, monitor, and maintain machine learning models in production environments.
+ Collaborate with cross-functional teams to understand business requirements and translate them into ML solutions.
+ Conduct experiments and performance evaluations to improve model accuracy, efficiency, and scalability.
+ Leverage cloud platforms (AWS, Azure, GCP) and tools for model deployment and MLOps.
+ Document processes, methodologies, and results for reproducibility and knowledge sharing.
+ Stay up-to-date with the latest advancements in AI/ML technologies and incorporate them into projects as needed.
Requirements
+ Bachelor's or Master's degree in Computer Science, Data Science, Mathematics, or related fields (or equivalent experience).
+ Strong programming skills in Python (preferred) or similar languages.
+ Proficiency in machine learning frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn, or Keras.
+ Solid understanding of ML algorithms, including supervised, unsupervised, and deep learning methods.
+ Experience with data preprocessing, feature engineering, and model optimization techniques.
+ Hands-on experience with MLOps tools (e.g., MLflow, Airflow, Docker, Kubernetes).
+ Familiarity with big data tools like Spark, Hadoop, or equivalent.
+ Knowledge of cloud platforms (AWS, GCP, Azure) for deploying and managing ML solutions.
+ Excellent problem-solving and communication skills.
Preferred Qualifications:
+ Experience with Natural Language Processing (NLP) or Computer Vision techniques.
+ Knowledge of reinforcement learning, generative AI, or large language models (LLMs).
+ Familiarity with database systems (SQL, NoSQL) and data warehousing tools.
+ Exposure to version control systems (e.g., Git) and CI/CD pipelines for model development.
+ Relevant certifications (e.g., AWS Certified Machine Learning, TensorFlow Developer Certificate).
Technology Doesn't Change the World, People Do.®
Robert Half is the world's first and largest specialized talent solutions firm that connects highly qualified job seekers to opportunities at great companies. We offer contract, temporary and permanent placement solutions for finance and accounting, technology, marketing and creative, legal, and administrative and customer support roles.
Robert Half works to put you in the best position to succeed. We provide access to top jobs, competitive compensation and benefits, and free online training. Stay on top of every opportunity - whenever you choose - even on the go. Download the Robert Half app ( and get 1-tap apply, notifications of AI-matched jobs, and much more.
All applicants applying for U.S. job openings must be legally authorized to work in the United States. Benefits are available to contract/temporary professionals, including medical, vision, dental, and life and disability insurance. Hired contract/temporary professionals are also eligible to enroll in our company 401(k) plan. Visit roberthalf.gobenefits.net for more information.
© 2025 Robert Half. An Equal Opportunity Employer. M/F/Disability/Veterans. By clicking "Apply Now," you're agreeing to Robert Half's Terms of Use ( .

**We help the world run better**
At SAP, we enable you to bring out your best. Our company culture is focused on collaboration and a shared passion to help the world run better. How? We focus every day on building the foundation for tomorrow and creating a workplace that embraces differences, values flexibility, and is aligned to our purpose-driven and future-focused work. We offer a highly collaborative, caring team environment with a strong focus on learning and development, recognition for your individual contributions, and a variety of benefit options for you to choose from.
TBD
#SAPAICareers #SAPAIAPP
**We win with inclusion**
SAP's culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone - regardless of background - feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world.
SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team:
For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training.
Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements.
**Compensation Range Transparency** : SAP believes the value of pay transparency contributes towards an honest and supportive culture and is a significant step toward demonstrating SAP's commitment to pay equity. SAP provides the annualized compensation range inclusive of base salary and variable incentive target for the career level applicable to the posted role. The targeted combined range for this position is 103,300 - 218,600 (USD) USD. The actual amount to be offered to the successful candidate will be within that range, dependent upon the key aspects of each case which may include education, skills, experience, scope of the role, location, etc. as determined through the selection process. Any SAP variable incentive includes a targeted dollar amount and any actual payout amount is dependent on company and personal performance. Please reference this link for a summary of SAP benefits and eligibility requirements: SAP North America Benefits ( .
Requisition ID: | Work Area:Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid

**Summary:**
Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click "Apply to Job" online on this web page.
**Required Skills:**
Machine Learning Engineer Responsibilities:
1. Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU).
2. Develop highly scalable classifiers, ranking models, regression systems, or tools to support recommendation and personalization use cases through leveraging machine learning, data regression, and rules based models.
3. Suggest, collect and synthesize requirements and create effective feature roadmaps.
4. Collaborate closely with the engineering team to deliver high-quality, production-ready code.
5. Promote ML best practices by monitoring and analyzing model performance via experiments and offline evaluations, and contribute ideas for continuous improvements.
**Minimum Qualifications:**
Minimum Qualifications:
6. Bachelor's degree (or foreign degree equivalent) in Computer Science, Computer Software, Computer Engineering, Applied Sciences, Mathematics, Physics, or related field
7. Experience must include completion of one coursework, research project, or internship involving the following:
8. Developing and debugging in C, C++, and Java
9. Scripting languages such as Python,Perl, or shell scripts
10. SQL for data analysis and model evaluation
11. Relational databases, data manipulation, and analysis using tools such as NumPy, and Pandas
12. Developing and training models using PyTorch or equivalent modern deep learning frameworks
13. Applying deep learning models in focus areas such as recommendation systems,NLP, computer vision, or multi modal learning
14. Demonstrated ability to build and test models, conduct experiments, and interpret results in a collaborative, cross-functional environment involving engineering, research, and data teams
15. Strong computer science fundamentals, with knowledge of distributed systems,computer architecture, network programming, operating systems, and low-level performance optimization
16. Strong mathematical foundation in probability theory, linear algebra, multivariable calculus, stochastic processes, and optimization methods used in machine learning
**Public Compensation:**
$178,360/year to $200,200/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at

Description
Machine Learning Engineer (Mid-Senior Level)
We are seeking a skilled Machine Learning Engineer to join a dynamic team in West Los Angeles. This hybrid position requires 2-3 days onsite per week and offers competitive pay ranging from $150K to $75K, depending on experience. This role is ideal for professionals passionate about developing cutting-edge AI solutions and working in a fast-paced, collaborative environment.
+ Compensation: 150K- 175K salary.
+ Work Environment: Hybrid flexibility in a West LA location (2-3 days onsite).
+ Projects: Opportunity to work on innovative and impactful machine learning projects.
Requirements
+ Education: Bachelor's degree in Computer Science, Engineering, or related field.
+ Experience: 5+ years in machine learning-focused software development/engineering.
+ Technical Skills: Python, SQL, PyTorch, machine learning algorithms (e.g., DNN, Random Forests), end-to-end ML workflows, cloud platforms (AWS/GCP/Databricks), Docker/Kubernetes.
+ Attributes: Strong collaboration, communication, analytical skills, and high coding standards.
+ Preferred: Advanced degrees (Master's/PhD in ML/AI).
+ Experience with AI frameworks (e.g., LangChain, HuggingFace, LLMs), recommender systems, Ray.
+ Knowledge of Scala or Rust.
+ Understanding of Bayesian statistics, causal inference, and MLOps/CI/CD pipelines.
Apply today to join our talented team driving AI-powered solutions!
Technology Doesn't Change the World, People Do.®
Robert Half is the world's first and largest specialized talent solutions firm that connects highly qualified job seekers to opportunities at great companies. We offer contract, temporary and permanent placement solutions for finance and accounting, technology, marketing and creative, legal, and administrative and customer support roles.
Robert Half works to put you in the best position to succeed. We provide access to top jobs, competitive compensation and benefits, and free online training. Stay on top of every opportunity - whenever you choose - even on the go. Download the Robert Half app ( and get 1-tap apply, notifications of AI-matched jobs, and much more.
Robert Half will consider for employment qualified applicants with arrest or conviction records in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. All applicants applying for U.S. job openings must be legally authorized to work in the United States. Benefits are available to contract/temporary professionals, including medical, vision, dental, and life and disability insurance. Hired contract/temporary professionals are also eligible to enroll in our company 401(k) plan. Visit roberthalf.gobenefits.net for more information.
© 2025 Robert Half. An Equal Opportunity Employer. M/F/Disability/Veterans. By clicking "Apply Now," you're agreeing to Robert Half's Terms of Use ( .

Job Description
Insight Global is seeking a team of experienced, driven Machine Learning Engineer to join an established health technology company sitting in San Jose, CA. This is a full-time, permanent role with competitive salary, bonus, and comprehensive benefits.
In this role you'll need:
Deep Learning Frameworks: Hands-on experience with PyTorch (main focus) and familiarity with TensorFlow.
Large-Scale Model Training: Exposure to advanced training techniques like Distributed Data Parallel (DDP), Fully Sharded Data Parallel (FSDP), ZeRO, and model parallelism (pipeline/tensor). Experience with distributed training is a strong plus.
Model Optimization: Skilled in improving model performance through techniques like quantization (PTQ, QAT, AWQ, GPTQ), pruning, knowledge distillation, KV-cache tuning, and using efficient attention mechanisms like Flash Attention.
Scalable Model Serving: Understanding of how to deploy models at scale, including autoscaling, load balancing, streaming, batching, and caching. Comfortable working alongside platform engineers to build robust serving pipelines.
Data & Storage Systems: Proficient with both SQL and NoSQL databases, vector databases (e.g., FAISS, Milvus, Pinecone, pgvector), and data formats like Parquet and Delta. Familiar with object storage systems.
Code Quality: Writes efficient, clean, and maintainable code with a focus on performance.
End-to-End ML Lifecycle: Solid grasp of the full machine learning workflow-from data collection and model training to deployment, inference, optimization, and evaluation.
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: and Requirements
-3-5 years in ML/AI engineering roles owning training and/or serving in production at scale.
-Demonstrated success delivering high-throughput, low-latency ML services with reliability and cost improvements.
-Experience collaborating across Research, Platform/Infra, Data, and Product functions.
-Bachelors in computer science, Electrical/Computer Engineering, or a related field required; Master's preferred (or equivalent industry experience).
-Strong systems/ML engineering with exposure to distributed training and inference optimization.

Immigration sponsorship is not available for this position
Machine Learning Engineer
What you can expect
As a Machine Learning Engineer on our Trust and Safety Engineering team, you will play a critical role in shaping the future of Zoom AI through innovative engineering solutions. You'll take the lead in developing and enhancing AI algorithms, techniques, and solutions for our Trust and Safety domain. Working closely with experienced researchers and engineers, you'll be part of a dynamic team dedicated to achieving groundbreaking results.
About the Team
The Trust and Safety Engineering team is committed to protecting users from being abused. We are passionate about leveraging cutting-edge technology to drive significant advancements in providing a safe environment for users.
Responsibilities
+ Designing, implementing, and optimizing AI/ML algorithms, techniques and solutions to address complex business challenges.
+ Collaborating with cross-functional teams to integrate research findings into scalable engineering solutions that align with business objectives.
+ Participating in code reviews, design discussions, and technical presentations to ensure the quality and reliability of our engineering solutions.
+ Identifying opportunities for improvement in existing systems and proposing innovative solutions to enhance performance, scalability, and reliability.
+ Staying up-to-date with the newest developments in AI/ML research and engineering to continuously improve our technical capabilities.
What we're looking for
+ Have minimum of 5+ Years of professional experience and a Master's Degree or PhD in Computer Science, AI, Machine Learning, or a related field.
+ Be proficient in one or more programming languages such as Python, Java.
+ Be proficient in machine learning concepts, algorithms, and techniques, with hands-on experience in developing and deploying machine learning models.
+ Understand deep learning frameworks such as PyTorch, TensorFlow, or similar.
+ Demonstrate AI dedication through sharing academic or personal AI projects and enthusiasm for new possibilities.
+ Able to effectively collaborate with cross-functional teams and present technical concepts to both technical and non-technical audiences.
Salary Range or On Target Earnings:
Minimum:
$137.700,00
Maximum:
$275.400,00
In addition to the base salary and/or OTE listed Zoom has a Total Direct Compensation philosophy that takes into consideration; base salary, bonus and equity value.
Note: Starting pay will be based on a number of factors and commensurate with qualifications & experience.
We also have a location based compensation structure; there may be a different range for candidates in this and other locations
At Zoom, we offer a window of at least 5 days for you to apply because we believe in giving you every opportunity. Below is the potential closing date, just in case you want to mark it on your calendar. We look forward to receiving your application!
Anticipated Position Close Date:
10/24/25
Ways of WorkingOur structured hybrid approach is centered around our offices and remote work environments. The work style of each role, Hybrid, Remote, or In-Person is indicated in the job description/posting.
BenefitsAs part of our award-winning workplace culture and commitment to delivering happiness, our benefits program offers a variety of perks, benefits, and options to help employees maintain their physical, mental, emotional, and financial health; support work-life balance; and contribute to their community in meaningful ways. Click Learn ( for more information.
About UsZoomies help people stay connected so they can get more done together. We set out to build the best collaboration platform for the enterprise, and today help people communicate better with products like Zoom Contact Center, Zoom Phone, Zoom Events, Zoom Apps, Zoom Rooms, and Zoom Webinars.We're problem-solvers, working at a fast pace to design solutions with our customers and users in mind. Find room to grow with opportunities to stretch your skills and advance your career in a collaborative, growth-focused environment.
Our Commitment
At Zoom, we believe great work happens when people feel supported and empowered. We're committed to fair hiring practices that ensure every candidate is evaluated based on skills, experience, and potential. If you require an accommodation during the hiring process, let us know-we're here to support you at every step.
If you need assistance navigating the interview process due to a medical disability, please submit an Accommodations Request Form ( and someone from our team will reach out soon. This form is solely for applicants who require an accommodation due to a qualifying medical disability. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed.

**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._