Senior Software Engineer – Scalable Machine Learning

Latitude

. Design and implement state-of-the-art cloud services for data ingest, workflow orchestration, and distributed training at scale .

Posted 11/10/2026full-timeRemote • United StatesSenior💰 $179,200 - $268,800 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and implementing cloud services for machine learning, with a strong focus on MLOps practices and large-scale distributed systems. Proven ability to mentor teams and deliver high-quality software solutions in collaboration with cross-functional teams.

Highest-signal resume keywords

Machine Learning Data Pipeline DevelopmentCloud Infrastructure DesignMLOps PracticesPython ProgrammingC++ Programming

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningData IngestWorkflow OrchestrationDistributed TrainingModel Artifact ManagementExperiment TrackingAutomated Model DeploymentSoftware DevelopmentData GenerationDistributed Systems

Soft Skills

MentoringTechnical GuidanceCollaboration

Industry Keywords

ADASRoboticsComputer EngineeringComputer ScienceElectrical Engineering

Tech Stack

Tools & technologies

CloudDistributed SystemsPythonC++

About the role

Key responsibilities & impact

Design and implement state-of-the-art cloud services for data ingest, workflow orchestration, and distributed training at scale
Develop solutions to generate, manage, and process large amounts of multi-sensor training data for machine learning
Drive advanced MLOps practices, including model artifact management, experiment tracking, and automated model deployment and testing strategies
Collaborate closely with cross-functional teams, perception experts, and roboticists to integrate ML pipelines and ensure delivery of high-quality, production-ready software
Mentor junior engineers and provide technical guidance to elevate the team's software development standards
Develop the machine learning infrastructure supporting Latitude AI's hands-free ADAS platform and Ford's autonomy roadmap

Requirements

What you’ll need

Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, Robotics or a related field and 4+ years of relevant experience (or Master's degree and 2+ years of relevant experience, or PhD)
Strong track record of successfully delivering complex software projects from conception to production
Proven expertise in developing and optimizing machine learning data pipelines, data generation, and distributed model training
Experience designing, building, and operating large-scale distributed systems and cloud infrastructure
Strong proficiency in Python and/or C++ for developing high-performance, production-quality software
Candidates must be legally authorized to work in the United States on a permanent basis
Visa sponsorship is available for this position

Benefits

Comp & perks

Competitive compensation packages
High-quality individual and family medical, dental, and vision insurance
Health savings account with available employer match
Employer-matched 401(k) retirement plan with immediate vesting
Employer-paid group term life insurance and the option to elect voluntary life insurance
Paid parental leave
Paid medical leave
Unlimited vacation
15 paid holidays
Daily lunches, snacks, and beverages available in all office locations
Pre-tax spending accounts for healthcare and dependent care expenses
Pre-tax commuter benefits
Monthly wellness stipend
Adoption/Surrogacy support program
Backup child and elder care program
Professional development reimbursement
Employee assistance program
Discounted programs that include legal services, identity theft protection, pet insurance, and more
Company and team bonding outlets: employee resource groups, quarterly team activity stipend, and wellness initiatives
Annual bonus programs
Equity compensation