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$190k–$290k/yr
Full-time
Medical insurance, Financial benefits, Bonus
Posted 9d ago
~40 hrs/week
Responsibilities
You will own the development of streaming and storage pipelines to support low-latency inference for live trading data. Additionally, you will manage model retraining cadences and productionize new features in collaboration with the data science team.
Requirements
The role requires strong experience in ML engineering, streaming systems, and building high-throughput inference services. Proficiency in Python and a systems language like Go, along with production AWS experience, is essential.
Full job description
The Organization
At TWG AI, we drive innovation and business transformation across a range of industries—including financial services, insurance, technology, media, and sports—by leveraging data and AI as core assets. Our AI-first, cloud-native approach delivers real-time intelligence and interactive business applications, empowering informed decision-making for both customers and employees.
We prioritize responsible data and AI practices, ensuring ethical standards and regulatory compliance. Our decentralized structure enables each business unit to operate autonomously, supported by a central AI Solutions Group, while strategic partnerships with leading data and AI vendors fuel game-changing efforts in marketing, operations, and product development.
You will collaborate with management to advance our data and analytics transformation, enhance productivity, and enable agile, data-driven decisions. By leveraging relationships with top tech startups and universities, you will help create competitive advantages and drive enterprise innovation.
At TWG, your contributions will support our goal of sustained growth and superior returns, as we deliver rare value and impact across our businesses.
The Role
As a Senior ML Engineer for AWS and Real-Time Inference, you'll own the fast path: ingesting live trading data and scoring it in near real time. It's a systems-heavy role focused on streaming, low-latency inference, and the retraining cadence that keeps models current and most directly determines whether the systems keep up with live markets.
Key Responsibilities:
Streaming and storage pipelines that feed both model training and low-latency inference.
The online inference path and its latency. A real-time detector microservice is built and unit-tested but not yet deployed — it needs to be connected to a run-time model and hold latency under live load. One known, non-trivial problem lives here: batch scoring ranks across a whole population, but single-account (or single-wallet) real-time scoring has no population to rank against, so it must threshold on calibrated raw scores.
The model retraining cadence as data and labels accumulate, including drift-triggered retraining.
Productionizing new features and detectors on the fast path, in partnership with data science.
Qualifications:
Strong data / ML engineering experience with streaming systems (e.g., Kafka / Kinesis / MSK) and modern data storage formats
Experience building low-latency, high-throughput inference services
Proficiency in a systems language (e.g., Go) alongside Python
Production AWS experience
Familiarity with financial market data or trading protocols a plus — the US feed is a FIX 5.0 SP2 drop-copy session with real-world quirks (nanosecond timestamps, repeating groups, dedup semantics)
Familiarity with chain-data infrastructure (node providers, subgraphs, event indexing) is a plus
Position Location:
This is an onsite position based out of our Santa Monica, CA or New York, NY offices.
Compensation:
The base pay for this position is $190,000-290,000. A bonus will be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits.
TWG is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
TWG Global is a unique holding company, strategically investing in and operating businesses across Investment Management, Securities, AI & Technology, Finance & Corporate Lending, Merchant Banking & Private Investments, and Sports, Media & Entertainment.
With a diversified portfolio and a proven track record of success, we deliver transformative value through innovation, operational excellence, and disruptive thinking.
We empower our portfolio companies to achieve exceptional growth and redefine their industries.
Based on 25520 listings with disclosed salaries, most technology jobs in California pay between $114k–$260k per year. Individual offers vary with seniority, company size, and specialization.
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There are currently 32,707 open technology positions in California listed on Clera. New openings are added daily as companies post roles.
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