ML Infrastructure Engineer.

Entry level ML Infrastructure Engineer positions in San Jose typically start near $135,000. Candidates with relevant internships, certifications, or portfolio work often negotiate closer to the median of $182,000. ML Infrastructure Engineers typically progress Junior → Mid → Senior → Staff → Principal over 8 to 12 years, with the Staff+ levels carrying significant technical scope and cross-team influence.

In San Jose, large enterprises typically pay ML Infrastructure Engineers 10 to 20% more in base salary than small companies, but startups often compensate with equity that can exceed base salary value. Total compensation for ML Infrastructure Engineers runs roughly $230K at median when factoring base + equity (25% of base annually) + bonus (15% of base). The $135,000 to $238,000 range reflects this entire spectrum.

In 2026, the average ML Infrastructure Engineer salary in San Jose, CA is $182,000. The 25th percentile sits at $135,000 and the 75th percentile reaches $238,000. Where you land depends on your experience, the company's size, and the specific skills you bring.

Compare the offer against the San Jose range: $135,000 (25th percentile) to $238,000 (75th percentile). An offer near $182,000 is market rate. Below $135,000 warrants a conversation unless equity or unusual benefits close the gap. Always negotiate equity alongside base salary. San Jose employers expect candidates to evaluate total compensation including RSUs, and leaving equity on the table is leaving money behind.

ML Infrastructure Engineers typically progress Junior → Mid → Senior → Staff → Principal over 8 to 12 years, with the Staff+ levels carrying significant technical scope and cross-team influence. The director/VP track diverges around year 8 for those who choose management; IC staff-plus roles keep building technical depth. In San Jose, each step up the ladder is amplified by the local cost of living multiplier, which means senior roles pay proportionally more than in lower cost markets.

Ask about equity structure, vesting schedule, annual bonus targets, 401(k) match, health insurance premiums, PTO policy, and remote flexibility. Total compensation for ML Infrastructure Engineers runs roughly $230K at median when factoring base + equity (25% of base annually) + bonus (15% of base). In San Jose's market, these extras can add $45,500 or more on top of the base salary.

Compensation for ML Infrastructure Engineers is driven by depth of technical specialization, open-source or published work, and the specific technology stack. Equity is a major component at roughly 25% of base — candidates should weight stock grants as heavily as salary when comparing offers. Within tech-sector ML Infrastructure Engineers specifically, employer tier (FAANG and frontier-AI labs vs mid-stage startups vs traditional enterprise) drives 66%+ variance across the compensation band. In San Jose, these factors can push compensation from the 25th percentile of $135,000 to the 75th percentile of $238,000 or beyond.