machine learning engineer

Pacer Group

<div>
 
 We are looking for a
 
 hands-on Machine Learning Engineer
 
 to work on a high-impact project focused on
 
 extracting structured data from document images (invoices)
 
 .
 
 
 This role sits at the intersection of
 
 Computer Vision, OCR, and Natural Language Processing (NLP)
 
 &mdash;building intelligent systems that convert
 
 unstructured image data into usable business insights
 
 .
 
 
 If you enjoy solving real-world ML problems and improving model performance in production environments, this role is for you.
 
 
 
 
 
 
 Required Skills
 
 
 <ul>
 <li>
 Strong experience in
 
 Machine Learning / Deep Learning
 
 </li>
 <li>
 Proficiency in
 
 Python
 
 </li>
 <li>
 Hands-on experience with
 
 OCR or document/image processing systems
 
 </li>
 <li>
 Experience with
 
 Computer Vision models
 
 (CNNs, ResNet, CRNN, etc.)
 </li>
 <li>
 Experience with
 
 NLP techniques
 
 (BERT, NER, text extraction, etc.)
 </li>
 <li>
 Solid understanding of:
 </li>
 <li>
 Model training, loss functions, and epochs
 </li>
 <li>
 Model evaluation and performance tuning
 </li>
 </ul>
 
 
 
 
 
 Tech Stack
 
 
 <ul>
 <li>
 Python, PyTorch
 </li>
 <li>
 OCR tools (e.g., Tesseract, EasyOCR, or similar)
 </li>
 <li>
 Models: ResNet, CRNN, BERT, NER
 </li>
 <li>
 Database: MySQL
 </li>
 </ul>
 
 
 
 
 #ML #Machinelearning #OCR #DocumentAI #DocumentProcessing #ComputerVision #ImageProcessing #TextExtraction #DataExtraction
 
</div>

Machine Learning Engineer

RZR Global Inc.

<div>Who are we? 
 
RZR Global is an AI-driven company specializing in mobile advertising solutions designed to fuel revenue growth. We leverage AI to discover audiences in a privacy-first environment through trillions of contextual bidding signals and proprietary behavioral models. Our audience engagement platform includes creative strategy and execution. We handle 5 million mobile ad requests per second from over 10 billion devices, driving performance for both publishers and brands. We are headquartered in San Francisco, CA, with a global presence across the United States, EMEA, and APAC. 
<h4 class="jobSectionHeader">
Role Overview</h4>

We are seeking a motivated and detail-oriented Machine Learning Engineer to join our team. As an ML Engineer, you will be involved in designing and implementing machine learning models and data pipelines to enhance our programmatic demand-side platform (DSP). You will work closely with Senior MLE and other team members to drive impactful machine learning projects and contribute to innovative solutions.
<h4 class="jobSectionHeader">
Key Responsibilities</h4>
<ul>
<li>Support the development of machine learning models to address challenges in programmatic advertising, such as predicting user responses, forecasting bid landscapes, and detecting fraud.
</li>
<li>Collaborate with senior data scientists and cross-functional teams (product, engineering, and analytics) to integrate models into production workflows.
</li>
<li>Analyze the impact of integrating new data sources and features into our models.
</li>
<li>Build and maintain data pipelines to process and prepare large datasets for model training and evaluation.
</li>
<li>Contribute ideas and assist in testing new tools, methodologies, and technologies to improve our machine learning capabilities.
</li>
<li>Document experiments, assumptions, and outcomes; maintain reproducibility
</li>
</ul><h4 class="jobSectionHeader">Required Skills / Experience</h4>
<ul>
<li>Bachelor's or Master's degree in Mathematics, Physics, Computer Science, or a related technical field.
</li>
<li>At least 1 year of professional experience in machine learning, statistical analysis, and data analysis.
</li>
<li>Experience with machine learning techniques such as regression, classification, and clustering.
</li>
<li>Proficiency in Python and SQL and familiarity with big data tools (e.g., Spark) and ML libraries (e.g., TensorFlow, PyTorch, Scikit-Learn).
</li>
<li>Strong grasp of probability, statistics, and data analysis principles.
</li>
<li>Ability to work effectively in a team environment, with good communication skills to explain complex concepts to diverse stakeholders.
</li>
</ul><h4 class="jobSectionHeader">Nice-to-Have</h4>
<ul>
<li>Familiarity with system programming languages including C++ and Rust is a plus.
</li>
<li>Exposure to online inference systems, gRPC/REST model endpoints, or streaming features (Kafka/Flink)
</li>
<li>Ad-tech familiarity: auction dynamics, pacing, fraud signals, creative personalization.</li></ul></div>

Richard, Wayne & Roberts

<div>
 
 A leading organization is seeking a
 
 Machine Learning Engineer
 
 to design, build, and productionize advanced analytics solutions across machine learning, deep learning, and generative AI. This role will focus on developing scalable pipelines, optimizing model performance, and deploying solutions in production environments using modern data platforms such as Databricks and PySpark.
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Partner with business stakeholders to define and deliver ML/AI solutions
 </li>
 <li>
 Build, scale, and optimize model training and serving pipelines
 </li>
 <li>
 Improve model performance through feature engineering, tuning, and observability
 </li>
 <li>
 Deploy and integrate ML models into production with a focus on reliability and scalability
 </li>
 <li>
 Collaborate with data engineers and data scientists to translate business needs into technical solutions
 </li>
 <li>
 Drive best practices in architecture, code quality, and CI/CD pipelines
 </li>
 </ul>
 
 
 Qualifications:
 
 
 <ul>
 <li>
 7+ years of experience in machine learning engineering, data science, or software engineering
 </li>
 <li>
 Strong programming skills in Python, SQL, or Scala
 </li>
 <li>
 Experience with Databricks, PySpark, and cloud platforms (AWS, Azure, etc.)
 </li>
 <li>
 Hands-on experience with feature engineering, model optimization, and scalable data pipelines
 </li>
 <li>
 Bachelor&rsquo;s degree in a quantitative field (Master&rsquo;s preferred)
 </li>
 </ul>
 
 
 
 
 Location: Arlington, VA - Relocation assistance within the US
 
 
 No sponsorship now or in the future
 
 
 No 3rd party (C2C) - This is a direct hire with benefits opportunity
 
 
 LI- #HP-1
 
</div>

Lumen Resources

<div>
 
 We&rsquo;re looking for a Machine Learning Engineer who thrives in fast-moving, high-impact environments and can deploy ML models in production environments. (3 days onsite)
 
 
 
 
 
 
 What You&rsquo;ll Do
 
 
 <ul>
 <li>
 Design, develop, and deploy machine learning solutions that support data-driven products and intelligent applications.
 </li>
 <li>
 Build scalable pipelines to collect, process, and prepare large datasets for model training and evaluation.
 </li>
 <li>
 Develop and optimize machine learning models for tasks such as classification, prediction, recommendation, or natural language processing.
 </li>
 <li>
 Integrate models into production systems through APIs, microservices, or cloud-based infrastructure.
 </li>
 <li>
 Collaborate with software engineers, data teams, and product stakeholders to deliver end-to-end AI solutions.
 </li>
 <li>
 Monitor model performance in production environments and implement improvements to ensure reliability, accuracy, and scalability.
 </li>
 </ul>
 
 
 
 
 
 What We&rsquo;re Looking For
 
 
 <ul>
 <li>
 Experience designing and deploying machine learning models in production environments.
 </li>
 <li>
 Strong programming skills in Python and familiarity with common machine learning frameworks such as PyTorch, TensorFlow, or scikit-learn.
 </li>
 <li>
 Experience building data pipelines and working with large datasets using modern data processing tools.
 </li>
 <li>
 Understanding of model evaluation techniques, feature engineering, and performance optimization.
 </li>
 <li>
 Experience integrating machine learning systems into applications using APIs or cloud-based services.
 </li>
 <li>
 Familiarity with containerization, version control, and modern development workflows.
 </li>
 </ul>
 
 
 
 
 Join us at Lumen Resources, where your expertise will contribute to our growth, and you'll have the opportunity to have fun and thrive alongside a dynamic group of professionals. Apply today and become a part of our exciting journey!
 
 
 
 
 
 
 Lumen Resources:
 
 
 
 
 
 
 At Lumen Resources you will be partnering with trained recruiters who will guide you through discovering a brighter future. Our recruiters are concise and efficient in all interactions, hold exceptional communication, and will support resume writing and interview preparation, so you can land any position you want!
 
 
 
 
 
 If this role doesn&rsquo;t align with what you are looking for, we have a host of clients with roles that could be a match. Feel free to reach out to connect with one of our team members at info@lumenresources.com1
 
 
 
 
 
 Lumen Resources is an Equal Opportunity Employer
 
 
 Don't hesitate to get in touch with our team for more information
 
</div>

Silvus Technologies

<div>
 
 The Company
 
 
 
 
 Silvus Technologies
 
 , a leading provider of advanced MANET and MIMO communications systems, is reshaping mesh network technology for mission-critical applications &ndash; on the ground, in the air, and at sea. Its battle-proven StreamCaster family of MANET radios and proprietary MN-MIMO waveform provides the vital communications link for defense, law enforcement, and public safety agencies around the world, and in the toughest operational environments.
 
 
 With deep roots in DARPA research, Silvus Technologies develops world-class advanced communications technologies that are reshaping the tactical communications landscape. From pure line-of-sight to extreme non-line-of-sight, Silvus radios form a self-healing, self-forming mesh network, enabling secure and reliable connectivity, including video and high-bandwidth data
 
 
 Silvus Technologies is a wholly owned subsidiary of Motorola Solutions, Inc.
 
 
 
 Would you like to join an incredibly talented group of people, doing very challenging work, with the prime directive of &ldquo;
 
 
 Keeping Our Heroes Connected
 
 
 &rdquo;?
 
 
 
 THE OPPORTUNITY
 
 
 Silvus is seeking a
 
 
 Machine Learning Engineer
 
 
 
 
 who will report to the
 
 R&amp;D Director, Machine Learning
 
 on the R&amp;D team. The successful individual in this role will focus on applying machine learning and data-driven techniques to improve the performance, efficiency, and adaptability of Silvus&rsquo; advanced MIMO radios and wireless networking systems. This individual 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&rsquo; 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
 
 
 
 <ul>
 <li>
 Research, design, and implement machine learning algorithms to enhance performance in wireless communication systems (e.g., link adaptation, interference mitigation, anomaly detection, spectrum sensing).
 </li>
 <li>
 Analyze real-world radio frequency datasets to extract insights and develop predictive models.
 </li>
 <li>
 Develop software prototypes and integrate ML algorithms with Silvus&rsquo; radio firmware and networking stack.
 </li>
 <li>
 Collaborate with cross-functional teams to define machine learning use cases and evaluate the impact of deployed models.
 </li>
 <li>
 Contribute to the design of data pipelines and infrastructure for training, testing, and validating models.
 </li>
 <li>
 Participate in performance benchmarking and iterative improvement cycles.
 </li>
 <li>
 Stay current with the latest Machine Learning research for wireless and embedded systems.
 </li>
 <li>
 Perform other related duties of which the above are representative.
 
 
 </li>
 </ul>
 
 Required Qualifications
 
 
 
 <ul>
 <li>
 S. or Ph.D. in Electrical Engineering, Computer Science, or a related field.
 </li>
 <li>
 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.
 </li>
 <li>
 Strong foundation in supervised and unsupervised learning, signal processing, and statistical modeling.
 </li>
 <li>
 Experience with Python ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn, etc.).
 </li>
 <li>
 Familiarity with wireless communication concepts (e.g., PHY/MAC layers, MIMO, OFDM, spectrum access, SDRs).
 </li>
 <li>
 Proficiency in MATLAB or C/C++ for signal processing algorithm development.
 </li>
 <li>
 Security Clearance: Active U.S. Government SECRET clearance or the ability to obtain one within 15 months of hire.
 </li>
 <li>
 Must be a U.S. Citizen due to clients under U.S. government contracts.
 </li>
 <li>
 All employment is contingent upon the successful clearance of a background check and drug test.
 
 
 </li>
 </ul>
 
 Preferred Knowledge, Skills, And Abilities
 
 
 
 <ul>
 <li>
 Demonstrated experience with radio frequency signal classification, anomaly detection, or spectrum monitoring.
 </li>
 <li>
 Familiarity with embedded machine learning, real-time systems, or deploying machine learning on edge devices.
 </li>
 <li>
 Background in adaptive modulation, beamforming, or cognitive radio techniques.
 </li>
 <li>
 Experience working with wireless standards such as 3GPP, IEEE 802.11/15, or military waveforms.
 </li>
 <li>
 Experience with GPU acceleration or model optimization for constrained environments.
 </li>
 <li>
 Excellent communication and collaboration skills.
 
 
 </li>
 </ul>
 
 Working Conditions And Physical Requirements
 
 
 
 <ul>
 <li>
 Office environment.
 </li>
 <li>
 Outdoor environment for demos.
 </li>
 <li>
 Occasional exposure to heat, cold, and allergens while performing tests or demonstrations in the field.
 </li>
 <li>
 While performing the duties of this job, the employee is required to do the following:
 </li>
 <ul>
 <li>
 Lift equipment up to 20 lbs. for the set-up of demonstrations and testing.
 </li>
 <li>
 Perform bending and reaching movements to place items on lower and higher shelves.
 
 </li>
 </ul>
 </ul>
 
 Compensation
 
 
 
 
 The pay range is NOT a guarantee. It is based on market research and peer data, and will vary depending on the candidate&rsquo;s experience and qualifications.
 
 
 
 CA Pay Range
 
 
 $120,000 - $160,000 USD
 
 
 
 NOTE - As a US 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 (needed for some Engineering or R&amp;D roles) will be included in the Required Qualifications section of the posted position. This does NOT apply to international positions; only job postings for positions located in the US.
 
 
 
 
 All employment is contingent upon the successful clearance of a background check and drug test.
 
 
 
 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 with 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.
 
 
 <ul>
 <li>
 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.
 </li>
 </ul>
</div>

James Search Group

<div>
 
 
 AI/ML Engineer
 
 
 
 
 Location:
 
 New York, NY
 
 
 
 Compensation:
 
 $135,000 &ndash; $175,000 base + bonus + full benefits, (401(k), and more)
 
 
 
 Industry:
 
 Global P&amp;C Insurance
 
 
 
 
 
 
 About the role and the company.
 
 
 
 James Search Group is working closely with a top-tier global property &amp; casualty insurance carrier to identify an
 
 AI/ML Engineer
 
 to join their enterprise Data and Artificial Intelligence division. This team is driving innovation across the business by developing and scaling AI capabilities that unlock new value and improve decision-making across underwriting, claims, and customer engagement.
 
 
 
 
 
 As an AI/ML Engineer, you'll collaborate with senior team members to build, refine, and deploy predictive models and intelligent systems. The ideal candidate is skilled in analytics, curious by nature, and passionate about transforming complex data into practical solutions that deliver measurable business impact.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Support the development and deployment of AI/ML models&mdash;including classification, forecasting, uplift and propensity modeling, and foundational model tuning.
 </li>
 <li>
 Collaborate with cross-functional teams to identify use cases where data science can enhance operational efficiency and business performance.
 </li>
 <li>
 Partner with business, IT, and strategy teams to ensure AI models are scalable, impactful, and aligned with organizational goals.
 </li>
 <li>
 Communicate analytical findings clearly to stakeholders with varying levels of technical knowledge.
 </li>
 </ul>
 
 
 
 
 
 Required Qualifications:
 
 
 <ul>
 <li>
 Master&rsquo;s degree in Data Science, Statistics, Mathematics, Computer Science, or a related quantitative discipline; Ph.D. a plus.
 </li>
 <li>
 Minimum of 2 years&rsquo; experience applying advanced analytics methods (e.g., decision trees, logistic regression, neural networks, random forests).
 </li>
 <li>
 Proficiency in R or Python for analytics and model development, including work with both structured and unstructured data.
 </li>
 <li>
 Proven ability to manage and integrate large, complex datasets and an understanding of end-to-end data modeling processes.
 </li>
 <li>
 Strong written and verbal communication skills with the ability to connect technical outputs to business strategy.
 </li>
 </ul>
 
 
 
 
 
 Preferred Qualifications:
 
 
 <ul>
 <li>
 Internship or project experience in machine learning, AI engineering, or related roles&mdash;especially in insurance or financial services.
 </li>
 <li>
 Familiarity with actuarial concepts or insurance-specific data models.
 </li>
 <li>
 Enthusiastic about continued learning in AI/ML and staying current with new tools and methodologies.
 </li>
 <li>
 Comfortable in a collaborative, fast-paced, and agile working environment.
 </li>
 </ul>
 
 
 
 
 This is a unique opportunity to grow your career with a highly respected organization investing in next-generation analytics.
 
 
 
 
 
 
 Apply today
 
 to help reshape the future of insurance through data and AI innovation.
 
</div>

MixMode

<div><div>MixMode is a leading provider of AI-powered cybersecurity solutions at scale, pioneering a patented third-wave, context-aware AI approach that automatically learns and adapts to dynamic environments. The MixMode platform delivers self-supervised, real-time threat detection for known and unknown threats across cloud, hybrid, and on-premises environments. Large organizations with big data workloads &ndash; including those in enterprise, critical infrastructure, US Department of War and US Intelligence Community &ndash; trust MixMode to defend their most important assets. Backed by PSG and Entrada Ventures, MixMode is headquartered in Santa Barbara, California. Learn more at www.mixmode.ai.</div>
MixMode is looking for a Sr. Machine Learning Engineer to aid in building large-scale, production-grade AI systems for cybersecurity. As a Senior Machine Learning Engineer, you will design, build, and operate distributed systems that apply machine learning to petabyte-scale streaming data. This role combines machine learning with systems engineering. You will be responsible for ensuring that ML systems are reliable, scalable, and performant in production, while enabling fast, reproducible evaluation of model performance. You will work closely with researchers and engineers to bring models into production and continuously improve their behavior at scale.

What you'll be doing (responsibilities):
<ul>
<li>Design and operate production ML systems for large-scale, streaming data</li>
<li>Own system reliability, performance, and observability in production environments</li>
<li>Improve the speed and reproducibility of model evaluation and iteration</li>
<li>Collaborate with researchers to productionize models and integrate them into distributed systems</li>
<li>Contribute to the evolution of existing ML systems and infrastructure to improve scalability, maintainability, and performance</li>
</ul>
What you'll need to bring (qualifications):
<ul>
<li>Ability to travel to our office in Santa Barbara, CA, a few times per year</li>
<li>5+ years of experience with Python in production environments</li>
<li>5+ years of experience applying machine learning using libraries such as PyTorch, scikit-learn, pandas, etc.</li>
<li>Experience building and operating distributed systems in production (e.g., Kubernetes, microservices, streaming systems)</li>
<li>Experience improving systems for ML experimentation and evaluation</li>
<li>Experience with big data or streaming technologies (e.g., Spark, Flink, or similar)</li>
<li>Strong mathematical foundation (e.g., degree in Computer Science, Mathematics, Statistics, Physics, or related field)</li>
</ul>
Other things we'd love to see (nice to have):
<ul>
<li>Experience with JVM languages (Java, Scala, or Kotlin)</li>
<li>Experience with Javascript/Typescript</li>
</ul>
Our Interview Process:

Our interview process focuses on real-world experience building production ML models, and the ability to reason about the behaviors of realistic predictive systems. We support the use of AI tools in our development, but we want to understand your capabilities first. No AI tools will be allowed for remote interviews early in the process. The final interview will be in person and require travel (paid for by MixMode).

We are open to hiring great talent who may have qualifications above or below those specifically listed in this job description. Pursuant to California law, we must display the pay range for this job. Since we are willing to hire within a broad spectrum of qualifications, we also reflect a broad pay range. The base hourly range that we are targeting for this position is $160,000-$220,000 though we can adjust based on individual qualifications. Individual salary is determined by qualifications, role, level, and location.<div>
Compensation and benefits are competitive based on industry standards. Benefits for full-time team members include:
<ul>
<li>Remote-First Work Culture</li>
<li>Healthcare (Medical, Dental, Vision, Accident)</li>
<li>Basic &amp; Voluntary Life and AD&amp;D</li>
<li>Flexible Spending Account (FSA)</li>
<li>401(k) with Employer Match</li>
<li>Paid Holidays &amp; Flexible Paid Time Off (PTO)</li>
</ul>
MixMode provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. 
Disability and Reasonable Accommodations | E-Verify | Right to Work

Please note: MixMode does not accept unsolicited resumes from recruiters or employment agencies. In the event of a recruiter or agency submitting a resume or candidate without a signed agreement being in place, we explicitly reserve the right to pursue and hire such candidates without any financial obligation to the recruiter or agency. Any unsolicited resumes, including those submitted directly to hiring managers, are deemed to be the property of MixMode.</div></div>

Sr. Machine Learning Engineer

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