Principal Machine Learning Engineer - San Francisco Bay Area

Acquisition Network LLC; San Francisco (CA); On-site; USD 200,000 - 320,000; Full time

Job summary

Acquisition Network LLC is partnering with Career Launch to identify senior machine learning engineers for SF Bay Area opportunities. Roles focus on building data and AI capabilities to improve products, decisions, and performance.

Candidates should bring deep ML experience, strong statistical judgment, and a track record of moving models from discovery to monitored production use. Expect collaboration with executives and cross-functional teams across engineering and security.

Qualifications

• Senior ML experience with data science/engineering background.
• Strong statistical, technical, and experimental judgment.
• Experience taking data or model work from discovery into production.

Responsibilities

• Build and operate ML systems delivering measurable business value.
• Set technical direction for ML/data initiatives.
• Turn business priorities into models, data products, experiments, and production systems.
• Establish data quality and responsible model use standards.
• Partner with engineering, product, security, and leaders on adoption.
• Communicate tradeoffs and results to diverse audiences.
• Develop team capability through hiring, mentoring, and practices.

Skills

Senior ML experience

Statistical judgment

Production deployment

Executive communication

Cross-functional collaboration

Job description

Principal Machine Learning Engineer - San Francisco Bay Area

Acquisition Network, through its recruiting partnership with Career Launch, is accepting applications for Principal Machine Learning Engineer opportunities with partner employers in San Francisco Bay Area. Career Launch works with experienced professionals seeking full-time roles and gives partner recruiters one profile to review across relevant searches.

The specific employer, team, work arrangement, interview process, and final compensation are disclosed before a candidate is submitted to an employer.

The role

These searches are for senior professionals who can build data and artificial intelligence capabilities that improve products, decisions, and operating performance. The strongest candidates combine functional depth with ownership, executive communication, and a record of measurable results.

What you may own

• Build and operate machine learning systems that deliver measurable customer and business value.
• Set the technical direction for data, machine learning, or applied artificial intelligence initiatives.
• Turn business priorities into measurable models, data products, experiments, and production systems.
• Establish standards for data quality, evaluation, monitoring, privacy, and responsible model use.
• Partner with engineering, product, security, and business leaders on implementation and adoption.
• Communicate tradeoffs, limitations, and results clearly to technical and executive audiences.
• Develop team capability through hiring, mentoring, documentation, and repeatable operating practices.

What we are looking for

• Senior experience in machine learning, data science, data engineering, analytics, or a related discipline.
• Strong statistical, technical, and experimental judgment.
• Experience taking data or model work from discovery into monitored production use.
• Ability to connect technical work to revenue, customer, risk, or operating outcomes.
• Clear communication with executives, engineers, analysts, and nontechnical partners.
• Authorization to work in the United States for the employer without misrepresenting work status.

Compensation and location

The anticipated base salary range across represented Principal Machine Learning Engineer searches in San Francisco Bay Area is $200,000 to $320,000 per year. Final compensation depends on the employer, scope, level, experience, and work arrangement and may include bonus, commission, or equity where applicable.

Equal opportunity

Acquisition Network and Career Launch evaluate candidates without regard to protected characteristics under applicable law. Hiring decisions are made by the applicable partner employer.