Senior Software Engineer - New AI Initiatives
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Software Engineer - New AI Initiatives based in the United States.
This role offers the opportunity to develop cutting-edge artificial intelligence solutions that help shape the future of autonomous technology.
The Senior Software Engineer will work on innovative AI initiatives, transforming complex problems into scalable machine learning workflows and production-ready systems.
This position combines software engineering, machine learning, data engineering, and collaboration across technical teams.
The ideal candidate will thrive in an exploratory environment where experimentation, technical excellence, and practical implementation come together.
This role provides the opportunity to influence emerging AI capabilities, build foundational tooling, and contribute to advanced technology platforms.
Working with experienced engineers and cross-functional partners, the position plays a key role in bringing next-generation AI solutions from concept to real-world deployment.
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Software Engineer - New AI Initiatives based in the United States.
This role offers the opportunity to develop cutting-edge artificial intelligence solutions that help shape the future of autonomous technology.
The Senior Software Engineer will work on innovative AI initiatives, transforming complex problems into scalable machine learning workflows and production-ready systems.
This position combines software engineering, machine learning, data engineering, and collaboration across technical teams.
The ideal candidate will thrive in an exploratory environment where experimentation, technical excellence, and practical implementation come together.
This role provides the opportunity to influence emerging AI capabilities, build foundational tooling, and contribute to advanced technology platforms.
Working with experienced engineers and cross-functional partners, the position plays a key role in bringing next-generation AI solutions from concept to real-world deployment.
Accountabilities:
- Build and enhance the foundation of AI development tools, workflows, and infrastructure.
- Translate complex business and technical challenges into machine learning workflows, including exploratory data analysis, model development, inference pipelines, metric computation, and deployment strategies.
- Independently design and develop data science models and algorithms using disciplined software engineering practices.
- Create and maintain high-quality code through version control, documentation, testing, and scalable development processes.
- Collaborate with Data Operations teams to define and implement data ingestion, preparation, curation, and governance processes for complex datasets.
- Develop guidelines, standards, and best practices for machine learning models, deployment processes, and analytics workflows.
- Lead technical projects, coordinate execution, and provide guidance to less experienced team members.
- Enable teams with actionable insights through effective data visualization and accessible analytics solutions.
- Evaluate emerging technologies and determine practical approaches for implementing innovative AI capabilities at scale.
- Communicate technical findings, progress, and recommendations clearly across engineering teams and business stakeholders.
- Bachelor’s degree in Computer Science, Robotics, Electrical Engineering, or a related technical field with 4+ years of relevant experience, or a Master’s degree in a related technical field with 2+ years of experience.
- Strong software engineering skills with experience designing, developing, and maintaining production-quality applications.
- Experience developing machine learning models, algorithms, or data-driven systems.
- Ability to work with complex datasets and understand data preparation, analytics, and machine learning workflows.
- Strong understanding of software development best practices, including version control, documentation, testing, and maintainable architecture.
- Ability to evaluate technical approaches and determine what solutions are practical for large-scale implementation.
- Strong communication skills with the ability to explain technical outcomes and collaborate with cross-functional teams.
- Comfortable working on exploratory projects where outcomes may evolve and not every initiative reaches production.
- Resilient, adaptable mindset with enthusiasm for solving challenging technical problems.
- Experience in robotics, autonomous systems, embedded systems, or physical AI environments is a plus.
- Competitive annual compensation range of $160,800–$193,000 USD depending on experience, skills, location, and qualifications.
- Corporate bonus program and stock option opportunities.
- 100% employer-paid medical, dental, and vision insurance premiums for full-time employees.
- 401(k) retirement plan with a 6% employer match.
- Flexible work schedule options.
- Generous paid vacation available immediately after joining.
- Employer-paid life insurance and AD&D coverage.
- Opportunity to work on innovative AI and autonomous technology projects.
- Collaborative, engineering-focused culture with opportunities for professional growth.
- Inclusive workplace environment that values diverse perspectives and backgrounds.
The Senior Software Engineer - New AI Initiatives will design, develop, and implement advanced AI and machine learning solutions while helping establish scalable engineering practices. This role requires strong technical judgment, the ability to navigate ambiguity, and the capability to collaborate across teams to turn innovative ideas into reliable products.
Requirements:
The ideal candidate is a technically strong software engineer with experience developing machine learning solutions and working on innovative technology initiatives. This role requires curiosity, adaptability, strong engineering discipline, and the ability to balance exploration with practical implementation.