Palo Alto, California, United States · Hybrid
$149k–$246k/yr
To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Software Engineering Job Details About Salesforce Salesforc…
Skills: Machine learning, Threat detection, Probabilistic modeling, Graph analytics, Data-driven strategy
Palo Alto, California, United States · Remote OK
$75k–$110k/yr
Why we exist: More than 80% of Americans own a car and see it as a fundamental necessity, yet the experience of owning one is stuck in the 90s. Every part of the user journey (shopping for a car, insurance, repairs, etc)…
Skills: Community management, Organic social media, Content strategy, SEO, Engagement strategy
Palo Alto, California, United States · On-site
$110k–$140k/yr
23andMe Research Institute is looking for an experienced Security Operations Engineer to join our Security Operations team. In this role you will lead security incident response as Incident Commander, triage and investig…
Skills: Incident response, Threat detection, Threat hunting, Security operations, EDR
Palo Alto, California, United States · Remote OK
$165k–$185k/yr
Assured is on a mission to modernize insurance. Claims processing (i.e. should we pay this claim?), while often overlooked, is the foundation of the entire industry. It’s currently highly manual, involving phone calls, f…
Skills: Product management, Product operations, Technical project management, B2B SaaS, Stakeholder management
Palo Alto, California, United States · Hybrid
$133k–$235k/yr
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, liv…
Skills: Python, Java, Go, C++, Machine learning
Palo Alto, California, United States · On-site
$150k–$250k/yr
About us Parallel is a web infrastructure company. Our products are used by leading businesses in sales, marketing, insurance, and coding to build best-in-class AI agents with flexible and powerful programmatic access to…
Skills: Product enablement, Technical training, Sales engineering, Solutions engineering, AI tools
Palo Alto, California, United States · Hybrid
$160k–$210k/yr
Why you should join us Jerry.ai is a profitable, Series C, YC-backed tech startup with 5M+ customers and $240M in funding. We’re building the first AI-powered advisor to manage all your physical assets. We started with t…
Skills: Product management, Data analysis, Strategic planning, Market research, Customer insights
Palo Alto, California, United States · Hybrid
$93k–$108k/yr
About Us Rivian and Volkswagen Group Technologies is a joint venture between two industry leaders with a clear vision for automotive’s next chapter. From operating systems to zonal controllers to cloud and connectivity s…
Skills: Automotive software testing, Vehicle fleet management, Software-defined vehicles, CAN, LIN
Palo Alto, California, United States · Hybrid
$140k–$220k/yr
Software Development Engineer in Test - AI About us: We are a stealth-mode startup building foundational technology to address performance, scalability, and resiliency challenges in large-scale AI data center clusters. W…
Skills: Python, Test Automation, Distributed Systems, Docker, Kubernetes
Palo Alto, California, United States · On-site
$135k–$185k/yr
SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today SpaceX is actively developing the technologies to make this poss…
Skills: Full stack development, Python, C#.NET, Go, Scala
Palo Alto, California, United States · Hybrid
$74/hr–$99/hr
If you're ready to be part of our legacy of hope and innovation, we encourage you to take the first step and explore our current job openings. Your best is waiting to be discovered. Day - 08 Hour (United States of Americ…
Skills: Imaging platforms, Clinical applications, Interoperability, Epic, Technical solutioning
Palo Alto, California, United States · Hybrid
$112/hr–$148/hr
If you're ready to be part of our legacy of hope and innovation, we encourage you to take the first step and explore our current job openings. Your best is waiting to be discovered. Day - 08 Hour (United States of Americ…
Skills: Strategic Leadership, Technology Modernization, Vendor Management, Contract Negotiation, AI Governance
Palo Alto, California, United States · Hybrid
$150k–$284k/yr
We made history and now we work to transform the future – for our customers, our communities and our families. You'll see your work on the road every day, helping people move freely and pursue their dreams. At Ford, you …
Skills: Embedded systems, C, C++, Python, RTOS
Palo Alto, California, United States · Hybrid
$150k–$284k/yr
We made history and now we work to transform the future – for our customers, our communities and our families. You'll see your work on the road every day, helping people move freely and pursue their dreams. At Ford, you …
Skills: Embedded systems, C, C++, Python, RTOS
Palo Alto, California, United States · Hybrid
$78k–$154k/yr
We're looking for a high-energy, detail-oriented and hands-on individual to join the Revenue Team as a Manager, Revenue Operations. This role will be based in our Palo Alto, CA office and will support the execution and s…
Skills: Revenue recognition, ASC 606, Financial reporting, Account reconciliation, NetSuite
Palo Alto, California, United States · On-site
$32/hr–$43/hr
As an Account Management Associate, you will be responsible for directly supporting our Administrator’s travel and expense needs. As strategic owners of our customer’s experience, your role is to solve issues, communicat…
Skills: Account Management, Customer Experience, Sales, Project Management, Data-driven
Palo Alto, California, United States · On-site
$260k–$280k/yr
BitGo is the leading infrastructure provider of digital asset solutions, delivering custody, wallets, staking, trading, financing, and settlement services from regulated cold storage. Since our founding in 2013, we have …
Skills: Technical program management, Strategic planning, Cross-functional leadership, Regulatory compliance, Risk management
Palo Alto, California, United States · On-site
Latitude AI (lat.ai) is building the future of Ford’s autonomy roadmap to make travel safer, less stressful, and more enjoyable for everyone. Bringing this vision to scale, our fully in-house developed hands-free ADAS pl…
Skills: Vehicle operation, Software testing, Data collection, Safety compliance, Technical documentation
Palo Alto, California, United States · Hybrid
Who We Are The world is moving towards instant digital payments and TabaPay is leading the way. We help thousands of Fintechs in the US and Canada instantly move money in and out of accounts and we are actively expanding…
Skills: Software QA, Fintech, Payments, API testing, REST APIs
Palo Alto, California, United States · Hybrid
$138k–$207k/yr
Rubrik is looking for a creative Global Campaigns Manager to elevate our demand generation efforts. We need a hands-on person who can help design and execute integrated campaigns that directly drive pipeline and revenue …
Skills: Demand Generation, Integrated Campaigns, B2B Marketing, Project Management, Data Analysis
Sign up with Clera and we'll reach out the moment a role actually fits you — no more spraying applications into the void.
The Senior Machine Learning Engineer will architect data-driven strategies for threat detection and implement advanced detection capabilities. They will also operationalize production-grade machine learning models to minimize alert fatigue within the security organization.
The ideal candidate should have experience in translating complex security threats into mathematical problems and implementing probabilistic modeling. Proficiency in machine learning engineering and security-focused data analysis is required.
To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.
Job Category
Software EngineeringJob Details
About Salesforce
Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.
Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.
Senior Member of Technical Staff - Senior Machine Learning Engineering
Job Category: Software Engineering
Job Details
About Salesforce
We’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too — driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good – you’ve come to the right place.
We are a foundation machine learning platform team within the Trust Intelligence Platform organization with a main focus to build and accelerate scalable and resilient machine learning pipelines across the security engineering organization.
We are looking for a highly motivated, hands-on senior machine learning engineer with a strong business understanding of cybersecurity problems, who acts as a force multiplier security data scientist for our security organization. The candidate will not simply build models; they will architect the data-driven strategy for our threat detection capabilities.
Your impact:
Engineer Production-Grade Services: You will be responsible for building and maintaining low-latency, real-time inference services designed to handle heavy security data streams. You will ensure that sophisticated models—including graph analytics and supervised learning—are deployed into production environments with the performance required to intercept active threats in real-time.
Operationalize Intelligence: You will prioritize engineering rigor by implementing advanced MLOps methodologies, including automated CI/CD pipelines, robust testing protocols, and comprehensive model performance monitoring. Your goal is to deliver models that the SOC trusts implicitly by minimizing alert fatigue through high-fidelity, production-hardened detections.
Architect Scalable Pipelines: You will influence the security engineering roadmap by building the internal tooling, feature stores, and libraries that enable rapid scaling of machine learning services. You will treat security telemetry as a first-class citizen, ensuring a closed-loop system for automated response and mitigation.
Drive Adversarial Resilience: You will ensure that all production services are built with an "attacker's mindset," implementing defenses against model evasion and ensuring high availability under high-volume load.
Required skills:
Streaming & High-Volume Data: Extensive hands-on experience with streaming services and distributed processing frameworks, specifically Apache Kafka, Flink, Ray and Spark/Pyspark.
MLOps Mastery: Demonstrated success in implementing comprehensive MLOps methodologies for high-volume data, encompassing automated deployment, CI/CD, and real-time performance monitoring.
Infrastructure & Orchestration: Deep understanding of containerization (Docker) and workflow orchestration (Kubernetes, Apache Airflow) for managing automated, production-grade ML pipelines.
Software Engineering Excellence: Mastery of Python programming with an emphasis on software engineering best practices, including scalable code design and API development for real-time inference.
Domain Expertise: 3-5+ years in machine learning engineering or data science, with at least 2+ years dedicated to deploying anomaly detection and clustering systems in a production cybersecurity environment.
Feature Engineering: Solid foundation in implementing feature stores and low-latency feature retrieval techniques for real-time model scoring.
ML Engineering: Demonstrated experience building and deploying ML models to production, conducting research or working collaboratively with Machine Learning (ML) research teams.
Technical Leadership: Ability to take ownership of complex engineering problems, structure data-driven solutions, and work with minimal supervision.
Preferred skills:
Performance Optimization: Experience tuning high-throughput systems for low-latency requirements.
Quantitative Background: Masters or PhD in a quantitative field.
Adversarial Security: Background in offensive security or Red Teaming to improve system resilience.
Security Frameworks: Practical knowledge of security frameworks such as MITRE ATT&CK and OCSF to inform the engineering of detection logic.
Mentorship: Previous experience in a mentoring role for junior engineers, specifically in production engineering and MLOps.
Unleash Your Potential
When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.
Accommodations
If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form.
Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates’ resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.
Posting Statement
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions.

The typical base salary range for this position is $148,500 - $223,900 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $178,900 - $246,000 annually.

The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.We're the #1 AI CRM—where humans with agents drive customer success together with AI, data, and Customer 360 apps on one platform. Privacy Statement: http://www.salesforce.com/company/privacy/
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Based on 729 listings with disclosed salaries, most software jobs in Palo Alto, CA pay between $120k–$275k per year. Individual offers vary with seniority, company size, and specialization.
There are currently 952 open software positions in Palo Alto, CA listed on Clera. New openings are added daily as companies post roles.
Companies currently hiring include Rivian, Amazon, Rivian and Volkswagen Group Technologies, Ford Motor Company, JPMorganChase, among others. Browse the listings above to see every active employer.
Yes — 470 of the 952 open software positions offer remote or hybrid work (102 remote, 368 hybrid).
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.
