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Staff Software Engineer Machine Learning Jobs in Hammond, IN

Crowe

Machine Learning Software Engineer 1

Chicago, IL · On-site

... approaching software engineering and/or machine learning problems Essential Job Functions ... staffing agency, recruiting service, sourcing entity or any other third-party paid service at any ...

Walt Disney Co.

Staff Software Engineer

Burbank, IL

Staff Software Engineer Req ID: 10154769 About the Role & Team   Do you remember seeing trailers for The Devil Wears Prada 2 earlier this summer? What about digital spots for a cruise on the Disney ...

Ripple

Staff Software Engineer

Chicago, IL

As a Staff Software Developer, you will own the platform delivering financial clarity to businesses from SMEs to Fortune 500 enterprises. You will build full-stack, cloud-native solutions on Azure.

Cars.com

Staff Software Engineer

Chicago, IL · On-site +1

As a Staff Software Engineer on our Websites Engineering Team, you will help revitalize our backend services and tooling across our platform with a comprehensive technical strategy to simplify and ...

Cars

Staff Software Engineer

Chicago, IL · On-site +1

As a Staff Software Engineer on our Websites Engineering Team, you will help revitalize our backend services and tooling across our platform with a comprehensive technical strategy to simplify and ...

Cars Commerce

Staff Software Engineer

Chicago, IL · On-site

As a Staff Software Engineer on our Websites Engineering Team, you will help revitalize our backend services and tooling across our platform with a comprehensive technical strategy to simplify and ...

The Hartford

Staff Software Engineer

Chicago, IL · Hybrid

Staff Software Engineer - IE07IE We're determined to make a difference and are proud to be an ... learning and improvement. * Drive best practices in software development, including coding ...

Inmar

Staff Software Engineer

Chicago, IL · On-site

The Staff Software Engineer provides technical leadership that spans multiple teams and business ... Tuition Reimbursement and certification support, reflecting our commitment to lifelong learning

JLL

Staff Software Engineer

Chicago, IL

About the Role As a Staff Software Engineer on the MarTech Engineering Team, you'll be a forward ... learning their systems, and turning their expertise into agents that go live and stay live. Your ...

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Staff Software Engineer Machine Learning information

See Hammond, IN salary details

$58.2K

$155.1K

$211.8K

How much do staff software engineer machine learning jobs pay per year?

As of Aug 19, 2026, the average yearly pay for staff software engineer machine learning in Hammond, IN is $155,147.00, according to ZipRecruiter salary data. Most workers in this role earn between $129,500.00 and $183,400.00 per year, depending on experience, location, and employer.

What are popular job titles related to Staff Software Engineer Machine Learning jobs in Hammond, IN?

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Staff Software Engineer Machine Learning jobs near you
Infographic showing various Staff Software Engineer Machine Learning job openings in Hammond, IN as of August 2026, with employment types broken down into 2% As Needed, 73% Full Time, 20% Part Time, 1% Temporary, and 4% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $155,147 per year, or $74.6 per hour.

Senior Software Engineer (Machine Learning)

Valor Equity Partners

Chicago, IL • On-site

$126K - $166K/yr

Full-time

Re-posted 29 days ago

Job description

About Valor:

Valor Equity Partners is a different kind of private investment firm. We pioneered the idea of operational growth. We work side-by-side, shoulder-to-shoulder, to help grow the operations of great companies solving the world's biggest problems. We invest in technology and technology-enabled companies that innovate and disrupt existing industries - from biosciences to transportation to food to health and wellness. We've had the honor of serving some of the world's greatest entrepreneurs and companies, including Tesla, SpaceX, Anduril, Eight Sleep, GoPuff, and others.

Our values are core to all we do. These values are excellence, humility, integrity, and responsibility.

Valor means that we:

  • Strive for excellence in everything we do;
  • Maintain our humility and mutual respect no matter what circumstances we encounter;
  • Insist upon the highest level of integrity in our interactions and in the logic of our investment process; and
  • Demonstrate responsibility and dedication to all of our constituents.

About the Team:

On the Valor Labs Team, we develop cutting edge machine learning models to derive proprietary investment insights and build software applications to augment the Firm's investment decision making process. As a small team of software engineers and data scientists with diverse backgrounds, we work collaboratively on wide-ranging problems to deliver high-impact products for the Firm.

About the Role:

As a Software Engineer on our data science and machine learning team, you will contribute directly to the development of high-impact products. Working together with data scientists, engineers, and stakeholders, you will translate complex project requirements into actionable technical solutions and work collaboratively to build, deploy, monitor, and maintain those solutions in production. Your technical expertise and commitment to excellence will help drive the adoption of best practices and ensure the highest level of rigor in everything we do.

About You:

  • B.S. in Computer Science or related field
  • 5+ years of experience developing production-ready software systems
    • Although not necessary, prior work experience in financial services is highly valued
  • Expertise in end-to-end machine learning operations: model deployment, monitoring, and retraining, supporting integration with production data pipelines and API services.
  • Proficient with Python, especially machine learning libraries like NumPy, Pandas, Scikit-Learn, and PyTorch
  • Proficient with SQL, including transactional (e.g., PostgreSQL) and analytical (e.g., BigQuery) databases
  • Professional experience with most, if not all, of the following:
    • Containerization (e.g., Kubernetes and Docker)
    • Data processing (e.g., Prefect, Airflow, and dbt)
    • Parallel processing (e.g., Ray, Dask, and Spark)
    • Cloud infrastructure (e.g., Google Cloud Platform)
    • Continuous integration/continuous deployment (e.g. GitHub Actions)
    • Infrastructure as code (e.g., Terraform)
    • Tools to support machine learning operations (e.g., MLFlow and DVC)
  • Humble, hard-working, and collaborative

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