Salesforce, Inc.

Salesforce, Inc.

Lead Machine Learning Engineer - LMTS

San Francisco, California, USA · full-time

Sponsorship not specified$173k-$260kDetected 29 days ago
PythonSnowflakeDockerKubernetesCI/CDKafkaMachine LearningTensorFlowPyTorchSparkAirflowData ScienceNLPAgentic AIMLOpsAI OrchestrationCybersecurityPenetration TestingDetection EngineeringSalesforceCRMRecruitingCustomer SuccessResearch

About the role

  • 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.
  • And innovation isn't a buzzword - it's a way of life.
  • Ready to level-up your career at the company leading workforce transformation in the agentic era?

Responsibilities

  • Shape the Defense Strategy: You will own the decision-making process-translating vague security threats into concrete mathematical problems.
  • By championing a rapid prototyping culture, you will validate hypotheses in days rather than months, ensuring our engineering resources are focused only on high-value detections while killing low-signal ideas early.
  • Detect the "Unknown Unknowns": You will lead the evolution of our threat detection, introducing more advanced probabilistic modeling, graph analytics, supervised and unsupervised learing.
  • Elevate the Organization: You will act as a force multiplier, mentoring junior scientists and engineers, and building the internal tooling, feature stores, and libraries that make the whole team faster.
  • Operationalize Intelligence: By prioritizing engineering rigor (CI/CD, scalable code) and adversarial resilience, you will deliver production-grade models that the SOC actually trusts-minimizing "alert fatigue" and maximizing analyst efficiency.
  • Job Category Software Engineering Job Details About Salesforce Salesforce is the #1 AI CRM, where humans with agents drive customer success together.
  • The lead will not simply build models; they will architect the data-driven strategy for our threat detection capabilities.
  • You will own the decision-making process-translating vague security threats into concrete mathematical problems.
  • By prioritizing engineering rigor (CI/CD, scalable code) and adversarial resilience, you will deliver production-grade models that the SOC actually trusts-minimizing "alert fatigue" and maximizing analyst efficiency.

Requirements

  • Mastery of Python programming, including proficiency in leading ML frameworks (TensorFlow, PyTorch) and adherence to software engineering best practices.
  • High degree of autonomy with the ability to look at a vague business problem and structure a data-driven solution without needing a predefined roadmap.
  • Previous experience in a mentoring role for junior engineers.

Nice to have

  • Preferred skills: Masters or PhD in a quantitative field Expertise in advanced Natural Language Processing (NLP) methodologies.

Skills

  • Solid foundation in feature engineering techniques and the implementation of feature stores.
  • Experience in formulating ML governance policies and ensuring adherence to data security regulations.
  • Ability to explain complex statistical concepts to non-technical stakeholders and executive leadership.
  • Masters or PhD in a quantitative field Expertise in advanced Natural Language Processing (NLP) methodologies.
  • Experience contributing to open-source security data science tools.
  • Presentations at major security conferences (Black Hat, DEF CON, BSides) or data conferences.
  • Track record of publications and/or patents in quantitative disciplines.
  • Apply today to not only shape the future - but to redefine what's possible - for yourself, for AI, and the world.
  • What does that mean exactly?
  • Know your rights: workplace discrimination is illegal.
  • This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey.

Compensation

  • 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 $172,500 - $260,100 annually.

Benefits

  • It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between.
  • The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
  • 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.

Company info

  • 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.
  • Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way.

Visa & Work Authorization

  • ce the broader security engineering roadmap to ensure a closed loop security telemetry that is treated as a first-class citizen
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This listing is sourced directly from Salesforce, Inc.'s careers page and normalized into a canonical job model.