Freddie Mac · 2 weeks ago
Senior Software Engineer, Single-Family Machine Learning Enablement
Freddie Mac is dedicated to making home possible for millions of families across the country. They are seeking a Senior Software Engineer to join their Single-Family Acquisitions AI/ML Enablement team, where the role involves supporting data scientists in implementing machine learning experiments and developing data-driven solutions.
FinanceFinancial ServicesRisk Management
Responsibilities
Provide efficient software and data-driven solutions for business requirements
Assist data scientists in running machine learning experiments and optimizing their workflow
Help support teams to analyze and resolve business raised incidents, including those related to data and machine learning models
You will be a key executor to the team, as a machine learning engineer, you will be assisting data scientists in their research and development work in building data pipelines, developing and deploying machine learning models, and taking on responsibilities across the entire data and ML stack
You will be contributing across several other technical activities such as data engineering, model development, deployment, MLOps, and quality of the product while working closely with the Technical Lead to analyze and come up with efficient solutions for software and data challenges related to R&D work by Single-Family data scientists
Qualification
Required
Bachelor's degree in information technology, Computer Science, Engineering, Data Science, or related field, or equivalent combination of education and work experience
A minimum of 5-7 years of experience engineering robust machine learning solutions
5+ years experience in Machine Learning processes: data preparation, exploratory data analysis, model training and evaluation, linear algebra, statistical concepts, algorithm design, software engineering practices
Knowledge / hands-on experience with multiple technologies such as: Apache Spark, Ray Project, PyTorch, scikit-learn, NumPy, and pandas
Strong proficiency in Python and working with the Python ecosystem
Knowledgeable about various Python package building and distribution methods (e.g., setuptools, pip, conda)
Comfortable working with open-source packages and ability to debug issues with open-source
Must have strong prior hands-on development experience with distributed data processing (Apache Spark, Ray), deep learning frameworks (PyTorch), and machine learning libraries (scikit-learn)
2+ years familiar with the use of AI-assisted coding tools, such as Github Copilot, Claude Code, Amazon Q, Cursor, etc
Must be familiar with high pace agile environment and active participation in agile ceremonies like standups, refinement sessions, retrospectives and reviews is required
Information and application security including firewall, AD, TAM/PING, LDAP, certificates, public key encryption, SSH, access credentials, etc
Large-scale data architectures, container orchestration frameworks, and deployment of machine learning models in production
Proven understanding of developing end-to-end machine learning workflows, including data preparation, model training, hyperparameter evaluation, and model serving
Preferred
Advanced studies/degree preferred
Experience with E2E testing tools and model validation techniques is a huge plus
2+ years with data storage solutions such as PostgreSQL, MongoDB, Snowflake, and cloud platforms is highly preferred
Benefits
Competitive compensation and market-leading benefit programs
Company
Freddie Mac
Freddie Mac is a public government-sponsored enterprise that provides mortgage capital to lenders.
H1B Sponsorship
Freddie Mac has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (181)
2024 (119)
2023 (100)
2022 (134)
2021 (112)
2020 (71)
Funding
Current Stage
Public CompanyTotal Funding
$3.58BKey Investors
DLP Capital
2025-12-30Post Ipo Debt· $108.4M
2025-10-28Post Ipo Debt· $343.2M
2025-09-09Post Ipo Debt· $707M
Leadership Team
Recent News
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2026-01-11
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2026-01-05
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