Do you want to help make the world safe from cyber attack?
At Corelight, we believe that the best approach to cybersecurity risk starts with the network. Attackers can evade endpoint detection, firewalls and many other technologies - but they can’t avoid leaving digital footprints on the networks they traverse. Built on open-source innovations from Zeek, Suricata and YARA and refined through years of real-world use, Corelight transforms network footprints from physical, virtual and cloud networks into actionable insights. Our customers use these insights to speed incident response and proactively hunt for threats.
We are building a world-class and uniquely targeted team to drive research through data science and security expertise. The ideal candidate will use their strong analytic skills and awareness of network and cloud security data to drive novel, durable, and effective threat detection. Corelight can define the data our sensors generate, and you will have the opportunity to contribute to how we extend the data itself to enable new types of analysis as needed. You will be able to look back a year from now and say two things with pride: first, “I helped to build that.” and second, “We are generating insights that no one else in the world has achieved.”
As a Machine Learning Engineer within Corelight Labs, you will work closely with data scientists and network security experts to explore, design, build and deliver machine learning solutions for challenging network security problems. You will play a crucial role in the exploration and development of the ML capabilities powering our product offerings.
Responsibilities   Contribute to the full range of stages of AI/ML projects, from early explorations to productization and maintenance.
Work closely with data scientists and network security experts to design and implement scalable ML pipelines for large datasets.
Design and implement strategies to deploy LLMs and for fine-tuning.
Conduct experiments, analyze results and resource consumption using various metrics and visualization techniques.
Drive adoption of ML development best practices in code health, quality, test stability and maintainability.
Participate in technical discussions within the Labs team and collaborate with other teams across the organization.
Work in an Agile development team focused on exploring and delivering ML use cases.
Minimum Qualifications   Strong appreciation for our core values: low ego results, tireless service, and applied curiosity.
3+ years experience developing, optimizing, troubleshooting, and maintaining large-scale machine learning systems.
Experience in DevOps and/or MLOps: continuous integration and delivery, automation of ML workflows, and deployments to production environments.
Understanding of data preprocessing, feature engineering and machine learning algorithms.
Understanding of model testing and validation techniques for ensuring model quality and performance.
Experience in Python and data science libraries (Pandas, Scikit-Learn, Keras, PyTorch, Tensorflow).
Experience using Docker and/or Kubernetes, and containerized applications.
Excellent communication skills to work effectively in a team.
Degree in Computer Science or related fields, or equivalent experience.
Preferred Qualifications   Experience adopting and using Agile development tools and methodologies, and working in a distributed team.
Experience with local deployments and fine-tuning of LLMs.
Familiarity with the network security domain.
Experience using feature stores and ML frameworks like Kubeflow, Cortex, Seldon, or BentoML.
Experience in designing and implementing data pipelines using Apache Spark.
Experience with cloud computing, especially Databricks and AWS Services (EC2, S3, Cloudwatch).
Experience with experiment tracking and reproducibility tools.
Fueled by investments from top-tier venture capital organizations such as Crowdstrike, Accel and Insight, Corelight is the fastest growing network detection and response platform in the industry. Our customers trust us to protect mission-critical assets in leading enterprises, government, and research institutions worldwide. We are leading the way with AI-assisted workflows, machine learning models, cloud security and SaaS-based solutions to arm defenders with the tools and knowledge they need to disrupt cyber attacks. Our team of passionate innovators are dedicated to solving some of the toughest challenges in cybersecurity, while fostering a collaborative, inclusive, and growth-oriented culture. Corelight is committed to a geographically distributed yet connected employee base with employees working from home and office locations around the world. At Corelight, we are proud of our diversity of background and thought, and we’re united by our strong shared culture and values.
We are looking forward to meeting you. Check us out at www.corelight.com

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Genies is an AI avatar and games technology company powering the next generation of digital experiences. Genies' technology stack is rooted in empowering user generated content through the company's two main mantras:
“Anyone can create anything” & “Everything works with everything”
By combining these two guiding principles, individuals can craft limitless experiences while IP owners can build dynamic social gaming ecosystems powered by user-generated content (UGC) and AI Avatars—what Genies calls "Parties."
Genies' technology stack features a comprehensive suite of UGC tools that enable anyone to create AI avatars, complete with customizable fashion, props, behaviors, and personalities, as well as immersive AI avatar experiences. At its core is the  Genies Avatar Framework , which leverages machine learning and computer graphics to ensure seamless interoperability across all user-generated AI avatars and experiences—unlocking boundless creative potential.
Early adopters of Genies’ first gen avatars include icons like Justin Bieber, Rihanna, J Balvin, Migos, and thousands more. With offices in Los Angeles and San Francisco, Genies has raised $200M from notable investors including Silver Lake, BOND, NEA, and Bob Iger.
We are looking for an  ML Engineer  with a passion for highly configurable digital avatars and intuitive content tools that inspire user creativity. In this role, you will design and implement machine learning models, perform complex data analysis, and develop cutting-edge algorithms that push the boundaries of avatar expression and interactivity. You will be expected to propose innovative, data-driven solutions with minimal guidance, driving informed decision-making. Strong collaboration with cross-functional teams is essential to ensure the seamless deployment and optimization of machine learning systems. Additionally, staying ahead of the latest advancements in machine learning and artificial intelligence will be a key aspect of your role.
What You’ll be Doing:
Develop AI-driven character animation models for body motion, facial expressions, and behavioral AI.
Train reinforcement learning (RL) or deep learning models to generate motion sequences.
Work with game engines (Unity, Unreal) to integrate AI-generated animation.
Collaborate with graphics engineers to blend AI motion with traditional animation.
Optimize character movement for real-time applications (XR, mobile).
What You Should Have:
Bachelor's degree in Computer Science, Data Science, Statistics, or a related field.
5+ years of experience in machine learning or related fields.
Experience with data structures, data modeling, and software architecture.
ML expertise (Deep learning, Reinforcement Learning, Motion AI)
Experience with physics-based animation or motion synthesis
Game engine knowledge (Unreal, Unity) for motion blending
Some 3D geometry understanding (meshes, rigging, skeletons)
Experience with OpenUSD, Houdini (bonus)
Starting Salary Range: $165,000 - $230,000
Here's why you'll love working at Genies:
You'll work with a team that you’ll be able to learn from and grow with, including support for your own professional development
You'll be at the helm of your own career, shaping it with your own innovative contributions to a nascent team and product with flexible hours and a work from home policy
You'll enjoy the culture and perks of a startup, with the stability of being well funded
Comprehensive health insurance for you and your family (Anthem + Kaiser Options Available), Dental and Vision Insurance
Competitive salaries for all full time employees
Unlimited paid time off, sick time, and paid company holidays, in addition to paid parental leave, bereavement leave, and jury duty leave for full-time employees
Health & wellness support through programs such as monthly wellness reimbursement
Working in a brand new, bright, open-environment and fun office space - there’s even a slide!
Choice of MacBook or windows laptop
Genies is an equal opportunity employer committed to promoting an inclusive work environment free of discrimination and harassment. We value diversity, inclusion, and aim to provide a sense of belonging for everyone.

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WHAT YOU DO AT AMD CHANGES EVERYTHING
We care deeply about transforming lives with AMD technology to enrich our industry, our communities, and the world. Our mission is to build great products that accelerate next-generation computing experiences – the building blocks for the data center, artificial intelligence, PCs, gaming and embedded. Underpinning our mission is the AMD culture. We push the limits of innovation to solve the world’s most important challenges. We strive for execution excellence while being direct, humble, collaborative, and inclusive of diverse perspectives.
AMD together we advance.
Principal Machine Learning Engineer
THE ROLE:
We are looking for a Principal Machine Learning Engineer to join our Models and Applications team. If you are excited by the challenge of distributed training of large models on a large number of GPUs, and if you are passionate about improving training efficiency while innovating and generating new ideas, then this role is for you. You will be part of a world class team focused on addressing the challenge of training generative AI.
THE PERSON:
The ideal candidate should have experience with distributed training pipelines, be knowledgeable in distributed training algorithms (Data Parallel, Tensor Parallel, Pipeline Parallel, ZeRO), and be familiar with training large models.
KEY RESPONSIBILITIES:
Train large models to convergence on AMD GPUs.
Improve the end-to-end training pipeline performance.
Optimize the distributed training pipeline and algorithm to scale out.
Contribute your changes to open source.
Stay up-to-date with the latest training algorithms.
Influence the direction of AMD AI platform.
Collaborate across teams with various groups and stakeholders.
PREFERRED EXPERIENCE:
Experience with ML frameworks such as PyTorch, JAX, or TensorFlow.
Experience with distributed training and distributed training frameworks, such as DeepSpeed.
Experience with LLMs or computer vision, especially large models, is a plus.
Excellent Python programming skills, including debugging, profiling, and performance analysis.
Experience with ML pipelines.
Strong communication and problem-solving skills.
ACADEMIC CREDENTIALS:
A Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
LOCATION:
San Jose, CA
#LI-MV1
#LI-HYBRID

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Company Description  It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today — ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone.
Job Description   What you get to do in this role:
We are a group of researchers, applied scientists, engineers, and product managers with a dual mission. We build and evolve the AI platform, and partner with teams to build products and end-to-end AI-powered work experiences. In equal measure, we lay the foundations, research, experiment, and de-risk AI technologies that unlock new work experiences in the future.
You will play a major part in building next generation Large Language Models (LLM's) for Enterprise Language Generation that will power NOW platform with AI experiences in day to day work of our customers. We are just getting started with our early-adopter customers and we need your help in building and making available an amazing range of solutions to our 9k+ enterprise customers around the world.
Responsibilities:
Confronted with real-world challenges and datasets, you will need to use your AI/ML expertise and creativity to apply existing methods and develop new ones to solve these problems in a practical and scalable way.
Research, propose and implement appropriate models/techniques for LLM benchmarking.
Participate in data collection and synthetic data generation, and generate custom benchmarks to evaluate diverse LLMs capabilities.
Collaborate daily with a team of like-minded developers, applied research scientists, product managers and quality engineers to produce quality software.
Contribute to the implementation of tools to facilitate LLMs evaluation and perform model/error analysis.
Develop innovative patentable ideas that ensure the competitiveness of this product within the domain of similar work being done in the industry.
Potentially write research papers in collaboration with our Research Group, to be published to the most notorious AI Conferences.
Work with product owners to understand detailed requirements and own your code from design, implementation, testing and delivery of high-quality & high-impact solutions to our users.
Qualifications   To be successful in this role you have:
Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI’s potential impact on the function or industry.
6+ years of relevant experience with a Bachelor's degree; or 4 years with a Master's degree; or a PhD with no experience; or equivalent work experience.
Solid expertise in Python.
Solid Machine Learning / Deep Learning theoretical knowledge and hands-on experience.
Experience with LLM benchmarking and evaluation is required; experience generating synthetic data is a plus.
Ability to read and experiment with ideas from recent research papers.
High level of creativity, quick problem-solving abilities, and adaptability.
Effective communication skills to convey research findings to both technical and non-technical stakeholders, ensuring a clear understanding of the benefits and limitations of LLMs across the organization.
Not sure if you meet every qualification? We still encourage you to apply! We value inclusivity, welcoming candidates from diverse backgrounds, including non-traditional paths. Unique experiences enrich our team, and the willingness to dream big makes you an exceptional candidate!
For positions in this location, we offer a base pay of $165,800 - $290,200, plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location.
Additional Information   Work Personas
We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work. Learn more here .
Equal Opportunity Employer
ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements.
Accommodations
We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact  globaltalentss@servicenow.com  for assistance.
Export Control Regulations
For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities.

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Pasadena, California, United States · San Francisco, California, United States · Washington, District of Columbia, United States
Primer exists to make the world a safer place. We do this by providing trusted decision-ready AI to the world's most critical organizations. Our software enables leaders, operators, and analysts to better understand the changing world around us in real time and make informed decisions when the stakes are high. Primer has offices in San Francisco, Pasadena, CA and Arlington, VA. For more information, please visit  https://primer.ai/
As a  Staff Machine Learning Engineer , you will take the lead on building and improving our data-driven products, and seeing them through from research to production. You have deep experience with the tools of data science, from algorithms and embeddings to language models and prompt engineering. You know how to rapidly prototype but also how to scale for production, leveraging previous distributed systems experience. You’ll be constantly learning and mentoring, expanding Primer's skills across the stack and bringing in new technologies and methods to the team.
Just as important as your technical skills are your strong product sense and empathy for customers. You will partner with cross-functional teams of product managers, engineers, and other technical leaders to solve the ultimate challenge: Empowering humans with artificial intelligence tools.
Roles and Responsibilities - How You Will Make an Impact
Understand the landscape of NLP problems and help us make the strategic investments that ensure Primer’s capability and leadership in the space.
Design & develop distributed architectures, libraries, and systems with company-wide impact.
Work on massive datasets, integrating with features such as event and topic detection, relation extraction, summarization, entity recognition, document classification, multilingual NLP, and knowledge base generation.
Collaborate and influence cross-functional teams to drive our technology vision and roadmap.
Triage issues and debug/resolve by identifying sources of issues and impact on operations and quality.
Improve and promote engineering best practices and design patterns across the company and motivate other engineers to follow your high standard.
Relevant Skills and Experience
BS, MS, or PhD degree in computer science, related field, or equivalent practical experience.
10+ years as a backend software engineer, integrating and deploying ML-driven functionality.
Mastery of data structures and algorithms and an ability to use them practically when implementing solutions.
Experience with machine learning algorithms and tools (e.g., Numpy, PyTorch, TensorFlow); bonus for experience with LLMs and natural language processing.
Experience authoring APIs in Python or Golang.
Curiosity, enthusiasm, and a love for teaching and learning.
This role will consider applicants out of San Francisco, CA, Pasadena, CA, or Washington, DC.
The annual cash compensation range for this position is US$180,000 to US$260,000. Final compensation will be determined based on experience and skills and may vary from the range listed above.
Primer works closely with the U.S. defense and intelligence establishment. Any offer of employment is conditioned on an applicant or employee being able to meet any applicable government contract requirements. The company may rescind any offer of employment to an applicant or terminate an employee if the applicant or employee is unable to perform the functions of the position in compliance with applicable government contracts or if an applicant or employee makes a false attestation of compliance.
What We Offer
We are a series D funded company with investors from Addition, USIT, Lux Capital, Amplify Partners, Addition Capital, Bloomberg Beta, and others. We are intentional around building a diverse and inclusive team of subject matter experts to better advocate for the needs of our users.
We care a lot about our work and about the well-being of our team. We encourage everyone to work at a sustainable pace and have a flexible vacation policy for team members to utilize, Wellness Days, and 100% paid leave for parents of growing families.
We offer competitive compensation and comprehensive benefits. This includes full medical, dental, and vision coverage, fertility benefits through Carrot, mental health coverage on demand with Headspace Care+, Gympass+ Membership via Wellhub, One Medical Membership, 401(k), remote work stipends, and monthly internet allowance.
Primer is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Please see the United States Department of Labor's EEO poster and EEO poster supplement for additional information.
If you need assistance or accommodation due to a disability, you may contact us at  info@primer.com .
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Apply for this job  * indicates a required field
First Name *
Last Name *
Email *
Phone *
Resume/CV *
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<p>Pasadena, California, United States · San Francisco, California, United States · Washington, District of Columbia, United States
Primer exists to make the world a safer place. We do this by providing trusted decision-ready AI to the world's most critical organizations. Our software enables leaders, operators, and analysts to better understand the changing world around us in real time and make informed decisions when the stakes are high. Primer has offices in San Francisco, Pasadena, CA and Arlington, VA. For more information, please visit https://primer.ai/
As a Staff Machine Learning Engineer , you will take the lead on building and improving our data-driven products, and seeing them through from research to production. You have deep experience with the tools of data science, from algorithms and embeddings to language models and prompt engineering. You know how to rapidly prototype but also how to scale for production, leveraging previous distributed systems experience. You’ll be constantly learning and mentoring, expanding Primer's skills across the stack and bringing in new technologies and methods to the team.
Just as important as your technical skills are your strong product sense and empathy for customers. You will partner with cross-functional teams of product managers, engineers, and other technical leaders to solve the ultimate challenge: Empowering humans with artificial intelligence tools.
Roles and Responsibilities - How You Will Make an Impact
Understand the landscape of NLP problems and help us make the strategic investments that ensure Primer’s capability and leadership in the space.
Design & develop distributed architectures, libraries, and systems with company-wide impact.
Work on massive datasets, integrating with features such as event and topic detection, relation extraction, summarization, entity recognition, document classification, multilingual NLP, and knowledge base generation.
Collaborate and influence cross-functional teams to drive our technology vision and roadmap.
Triage issues and debug/resolve by identifying sources of issues and impact on operations and quality.
Improve and promote engineering best practices and design patterns across the company and motivate other engineers to follow your high standard.
Relevant Skills and Experience
BS, MS, or PhD degree in computer science, related field, or equivalent practical experience.
10+ years as a backend software engineer, integrating and deploying ML-driven functionality.
Mastery of data structures and algorithms and an ability to use them practically when implementing solutions.
Experience with machine learning algorithms and tools (e.g., Numpy, PyTorch, TensorFlow); bonus for experience with LLMs and natural language processing.
Experience authoring APIs in Python or Golang.
Curiosity, enthusiasm, and a love for teaching and learning.
This role will consider applicants out of San Francisco, CA, Pasadena, CA, or Washington, DC.
The annual cash compensation range for this position is US$180,000 to US$260,000. Final compensation will be determined based on experience and skills and may vary from the range listed above.
Primer works closely with the U.S. defense and intelligence establishment. Any offer of employment is conditioned on an applicant or employee being able to meet any applicable government contract requirements. The company may rescind any offer of employment to an applicant or terminate an employee if the applicant or employee is unable to perform the functions of the position in compliance with applicable government contracts or if an applicant or employee makes a false attestation of compliance.
What We Offer
We are a series D funded company with investors from Addition, USIT, Lux Capital, Amplify Partners, Addition Capital, Bloomberg Beta, and others. We are intentional around building a diverse and inclusive team of subject matter experts to better advocate for the needs of our users.
We care a lot about our work and about the well-being of our team. We encourage everyone to work at a sustainable pace and have a flexible vacation policy for team members to utilize, Wellness Days, and 100% paid leave for parents of growing families.
We offer competitive compensation and comprehensive benefits. This includes full medical, dental, and vision coverage, fertility benefits through Carrot, mental health coverage on demand with Headspace Care+, Gympass+ Membership via Wellhub, One Medical Membership, 401(k), remote work stipends, and monthly internet allowance.
Primer is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Please see the United States Department of Labor's EEO poster and EEO poster supplement for additional information.
If you need assistance or accommodation due to a disability, you may contact us at info@primer.com .
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Apply for this job * indicates a required field
First Name *
Last Name *
Email *
Phone *
Resume/CV *
Enter manually
Accepted file types: pdf, doc, docx, txt, rtf
Enter manually
Accepted file types: pdf, doc, docx, txt, rtf
LinkedIn Profile
Website
Are you legally authorized to work in the United States? *
Will you now or in future require sponsorship for employment visa status (e.g., H-1B, F-1, or TN visa status)? *

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Machine Learning Engineer Jobs in California, MO

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