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Compliance, Machine Learning Engineer, Dallas, Vice President
- Dallas, Texas, United States
- Dallas, Texas, United States
Über
OUR IMPACT We are Compliance Engineering, a global team of more than 300 engineers and scientists who work on the most complex, mission‑critical problems.
We:
build and operate a suite of platforms and applications that prevent, detect, and mitigate regulatory and reputational risk across the firm.
have access to the latest technology and to massive amounts of structured and unstructured data.
leverage modern frameworks to build responsive and intuitive UX/UI and Big Data applications.
Within Compliance engineering, we are hiring for a Machine Learning Engineering role within Models Engineering. The firm is making a significant investment to improve the precision/recall of the Compliance models portfolio in 2024. To achieve that we are hiring experienced MLEs who have experience of developing and deploying ML models for big data in a distributed architecture.
HOW YOU WILL FULFILL YOUR POTENTIAL As a member of our team, you will:
Work with large scale structure and unstructured data. Drive end to end Machine Learning projects that have a high degree of scale and complexity
Build infra for machine learning which involves feature engineering and scaling models to work at scale
Develop, productionize, and maintain ml models
Run ML experiments by constantly tuning the features and the modeling approaches, documenting findings and results
Collaborate closely with ML researchers, to accelerate the usage of cutting edge models
Perform code reviews and ensure code quality
QUALIFICATIONS A successful candidate will possess the following attributes:
A Bachelor's or Master's degree in Computer Science, or a similar field of study.
10+ years of hands‑on experience with building scalable machine learning systems
Solid coding skills and strong Computer Science fundamentals (algorithms, data structures, software design)
Expertise in Python & PySpark
Experience in working with distributed technologies like Scala, Pyspark, Iceberg, HDFS file formats (avro, parquet), AWS/GCP, big data feature engineering.
Experience in system design and evaluating the pros and cons of database choices, schema definition for data storage.
Extensive experience with Machine Learning and Deep Learning toolkits (Tensorflow, PyTorch, Scikit-Learn, HuggingFace)
DESIRED EXPERIENCE Experience in some of the following is desired and can set you apart from other candidates:
Prior experience with LLMs and Prompt Engineering
Prior experience in architecting/ deploying ML applications on AWS/GCP
Prior experience in code reviews/ architecture design for distributed systems.
ABOUT GOLDMAN SACHS At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world.
We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs.
We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html
Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law.
Job Info
Job Identification 161805
Job Category Vice President
Posting Date 04/29/2026, 03:08 PM
Locations Dallas, TX, United States
Healthcare & Medical Services We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally.
We offer competitive vacation policies based on employee level and office location. We promote time off from work to recharge by providing generous vacation entitlements and a minimum of three weeks expected vacation usage each year.
Financial Wellness & Retirement We assist employees in saving and planning for retirement, offer financial support for higher education, and provide a number of benefits to help employees prepare for the unexpected. We offer live financial education and content on a variety of topics to address the spectrum of employees’ priorities.
Health We offer a medical advocacy service for employees and family members facing critical health situations, and counseling and referral services through the Employee Assistance Program (EAP). We provide Global Medical, Security and Travel Assistance and a Workplace Ergonomics Program. We also offer state‑of‑the‑art on‑site health centers in certain offices.
Fitness To encourage employees to live a healthy and active lifestyle, some of our offices feature on‑site fitness centers. The eligible employees we typically reimburse fees paid for a fitness club membership or activity (up to a pre‑approved amount).
Childcare We offer on‑site child care centers that provide full‑time and emergency back‑up care, as well as mother and baby rooms and homework rooms. In every office, we provide advice and counseling services, expectant parent resources and transitional programs for parents returning from parental leave. Adoption, surrogacy, egg donation and egg retrieval stipends are also available.
Benefits at Goldman Sachs Read more about the full suite of class‑leading benefits our firm has to offer.
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Sprachkenntnisse
- English
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