AI Supply Chain Optimization Engineer.

Supply chain AI deals with cascading dependencies, long lead times, and the need to optimize across multiple objectives simultaneously (cost, service level, sustainability). The problems are inherently combinatorial and require operations research techniques alongside ML. Physical constraints (warehouse capacity, transportation routes, production schedules) make the optimization landscape uniquely complex.

Retail and e-commerce lead in adoption due to high SKU counts and demand variability. Manufacturing, especially automotive and electronics, invest heavily in production planning AI. Pharmaceutical supply chains use AI for temperature-sensitive logistics and demand forecasting. Food and beverage companies apply AI to perishable inventory optimization.

Ask about equity structure, vesting schedule, annual bonus targets, 401(k) match, health insurance premiums, PTO policy, and remote flexibility. Performance bonuses of 12% to 20% tied to cost reduction or service level improvements are common. In New York's market, these extras can add $46,500 or more on top of the base salary.

Compensation reflects the ability to apply ML to complex supply chain problems including demand forecasting, inventory optimization, and logistics network design. Engineers who can reduce supply chain costs by measurable percentages through AI-driven decisions earn premiums. Experience with operations research combined with ML provides the most valued skill combination. In New York, these factors can push compensation from the 25th percentile of $140,000 to the 75th percentile of $237,000 or beyond.

New York City remains one of the world's largest and most diverse job markets, with unmatched density in finance, media, and technology. The city's tech sector has grown rapidly, rivaling the Bay Area for venture funding and startup activity. For AI Supply Chain Optimization Engineers specifically, the median salary of $186,000 reflects that demand.

Remote work has compressed geographic salary premiums for AI Supply Chain Optimization Engineers. Some New York employers offer location adjusted pay, while others maintain local rates to attract in office talent. In a high cost market like New York, remote roles may pay 10 to 20% less than local positions. The $140,000 to $237,000 range reflects both arrangements.

New York City remains one of the world's largest and most diverse job markets, with unmatched density in finance, media, and technology. The city's tech sector has grown rapidly, rivaling the Bay Area for venture funding and startup activity. For AI Supply Chain Optimization Engineers specifically, compensation reflects the ability to apply ml to complex supply chain problems including demand forecasting, inventory optimization, and logistics network design, which signals sustained demand. The current compensation range of $140,000 to $237,000 reflects a market that is competing for talent.