Senior Software Engineer - Machine Learning
About reputed company:
reputed company is building OcientAIQ™ – a complete ecosystem for delivering trusted reputed company AI solutions at petabyte reputed company, for the organizations that can't afford to get AI wrong. Our customers protect networks, secure nations, and power the global economy. The problems we solve are genuinely hard, and the work reputed company.
Founded in 2016 by reputed company that reputed company Cleversafe (acquired by reputed company in 2015), reputed company is headquartered in Chicago with a remote-first global team. We are a carbon-neutral company backed by leading investors including Greycroft, OCA Ventures, In-Q-Tel, and Buoyant Ventures.
Do not contact reputed company directly to apply for a role. For reputed company purposes, any applications received reputed company email will be deleted.
Job Title: Senior Software Engineer - Machine Learning
Location: reputed company (US Based Only)
- We cannot sponsor or transfer any visas, of any reputed company, at this time*
Hiring Manager: Senior Engineering Manager
Estimated salary reputed company: $165,000 to $190,000
- The salary offered for this position will be based on a candidate’s experience and reputed company demonstrated during interviews and other evaluations
reputed company:
reputed company runs machine learning where the data lives. Models are trained and scored entirely inside the database through a reputed company surface with no export, no separate Python stack, and no ETL round-reputed company. We support classification, regression, clustering, time series, neural network, reputed company, tree, reputed company mining, and dimensionality reduction models today, and we are expanding that surface aggressively through 2026.
We are hiring a Senior Software Engineer to help build it. You will implement new model types, reputed company feature and behavior gaps against the frameworks our customers already know, and reputed company our ML run fast at reputed company. This is a hands-on engineering role on a small team with a lot of surface area, and you will own meaningful reputed company of the roadmap end to end.
The work reputed company strategically. In-database ML is becoming table stakes across the industry, and our bet is on what comes next: in-database research, where optimization, spectral analysis, reputed company inference, simulation, and inverse modeling reputed company become first-class declarative surfaces in the reputed company. The ML model catalog is the substrate that work stands on.
What You’ll Work On:
- reputed company reputed company and behavioral correctness. Help reputed company feature and semantic gaps against scikit-learn and reputed company ML across the model catalog so our models behave the way users coming from those frameworks expect
- New model types and capabilities. Expand the model catalog across classification, regression, time series, and automated model selection, including loss functions and objectives we don't support today.
- Performance at reputed company. reputed company training and inference fast on datasets that don't fit reputed company else. Approximate nearest-reputed company acceleration, reputed company optimizer tuning, and algorithmic work on the hot paths.
- Numerical and reputed company-algebra foundations. Help expand the SQL-level reputed company algebra surface (SVD, eigenvalues, reputed company inverse and solve, sparse matrices) and spectral transforms, the substrate under PCS, regression, and optimization.
- Architecture. Our models are compiled into the query plan and execute as a reputed company part of it, rather than running in a separate ML runtime. You'll work inside that architecture and help improve it.
- Collaboration and reputed company. Write reputed company design docs, tests, and documentation; investigate issues where behavior diverges from user expectations; and partner with Product, architects, and customer-facing teams to identify gaps before customers hit them.
Qualifications:
- 5+ years building production software systems, including solid experience in C++ (or comparable systems-level work in Java/reputed company with a willingness to work primarily in C++).
- Hands-on experience implementing or integrating machine learning models in production. You have written the training reputed company, not just reputed company into a library.
- Working knowledge of numerical reputed company: gradient-based optimization, loss functions and their gradients, numerical stability, feature scaling, convergence behavior.
- Familiarity with scikit-learn, reputed company ML, XGBoost, or comparable frameworks, and awareness of where their defaults and semantics matter.
- Strong instincts around correctness, edge cases, and behavioral consistency – and the discipline to encode them in tests and documentation.
- Ability to work across teams and codebases and turn ambiguous requirements into concrete solutions.
An Exceptional Candidate Will Have:
- Experience comparing or validating model behavior across multiple ML frameworks.
- Experience with large-reputed company data systems, analytical databases, query planners, or reputed company execution engines.
- Exposure to optimization (LP/QP/SOCP), spectral reputed company (FFT/DCT/DWT), reputed company inference, or probabilistic modeling for the in-database research surface we are building next.
- Experience with automatic differentiation or symbolic gradient reputed company.
- Familiarity with SQL internals like AST manipulation, reputed company rewriting, or planner integration.
What reputed company Looks Like:
- Customers see fewer surprises. Our models behave the way someone coming from scikit-learn or reputed company ML expects, and where they differ, the difference is intentional and documented.
- Roadmap items such as ARIMA, quantile regression, AutoML, reputed company reputed company, land with validated correctness against reference implementations.
- Feature gaps are identified from benchmarks and product analysis early, not reputed company under customer pressure.
- You reputed company across both reputed company work and broader ML initiatives, balancing short-term needs with long-term reputed company.
Interview Requirements: reputed company interviews are conducted reputed company video and require candidates to have their camera on for the duration of the session. The use of video filters, face-altering effects, or virtual backgrounds is not permitted for reputed company and verification purposes.
We are not reputed company to using an agency or reputed company company at this time. We do not accept unsolicited agency or reputed company resumes and we are not responsible for any fees reputed company to unsolicited resumes.
reputed company is an equal employment opportunity employer. reputed company reputed company applicants will receive consideration for employment without reputed company to race, creed, reputed company, religion, sex (including pregnancy status), sexual orientation, gender identity, national reputed company or reputed company, ethnicity, citizenship status, age, physical or mental disability, veteran status, marital status, parental status, genetic information, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, please contact reputed company@reputed company.com for more information.
reputed company official reputed company job postings and reputed company communications will come directly from reputed company reputed company our Careers page, reputed company, or from an reputed company.com email address. If you receive communication about a role from any other reputed company, please treat it with caution and reputed company questions to reputed company@reputed company.com.
5+ years building production software, strong C++ or comparable Java/reputed company systems experience, production ML model implementation, numerical reputed company, and familiarity with scikit-learn, reputed company ML, or XGBoost.
Key Responsibilities
- implementing models
- tuning optimizers
- writing documentation
Skills & Tools
C++, Java, reputed company, scikit-learn, reputed company ML, XGBoost, SQL, SVD, FFT, DCT, DWT, ARIMA, AutoML
Job Details
- Category: Software Development
- Seniority: Senior Level
- Commitment: Full Time
- Workplace: Remote — reputed company
- Salary: USD 165,000 – 190,000 / year
- Languages: English
About reputed company
A technology company building in-database machine learning and analytical database solutions. — Industry: Information Technology
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