Machine Learning Engineer

Applied NLP, computer vision, or multimodal models.

MLOps and model-monitoring tooling.

Background in fintech or financial data.

Bachelor's degree in Computer Science, a similar technical field, or equivalent practical experience.

Providing our clients with a world-class experience is our number one priority. We obsessively search for ways to improve the experience for our clients and partners—extraordinary response times, proactivity, and a top-tier experience in everything from product strategy to offline communications.

Challenge convention: Instead of detailing all the reasons an idea may not work, we question things to determine how a viable idea may be put into motion.

Commitment to continuous improvement: We find ways to personally scale each day by pushing ourselves up the learning curve.

Meritocracy, not politics: We place the utmost value on results and reward through merit, not political agendas.

Civil Discourse is embraced: Open, intellectually curious conversations are required to consistently arrive at the best decisions. Respect is paramount, but the mission is to get the right answer collectively, not to be right.

Embrace technological change: We adopt tools and techniques that make us faster, smarter, and better—especially around AI and automation—and drop outdated methods without hesitation.

Location: Fully Remote (all I-9 eligible candidates will be considered).

Employment: Full-time. Seniority: Senior professional.

Salary: The expected base salary range for this role is $165,000 to $185,000. Actual compensation will be determined based on the candidate's primary work location and other job-related factors including skills, experience, qualifications, interview performance, internal equity, and market data. Candidates located in higher cost-of-living markets, including the San Francisco Bay Area, may be considered within the higher end of the range. This range reflects base salary only and does not include bonus, equity, or benefits; total compensation may also include a discretionary performance-based bonus.

Benefits: Medical, dental, and vision; 401(k); and responsible vacation time (PTO).

Travel required for team and department offsites. An in-person interview may be required during the process. A broadband internet connection is required. Compliance with Allocate's Code of Ethics is a given for this role.