PA
PartSpaceMachine Learning Engineer – m/f/d
Machine Learning Engineer responsible for optimizing AI pipelines at Easy2Parts. Join a growing team to revolutionize component sourcing with AI technology.
About the role
- Own design, development and maintenance of high-performance AI solutions that utilize agentic workflows to deliver concrete business value for internal stakeholders (examples: knowledge assistants, document processing copilots, voice agents).
- Collaborate with cross-functional teams, including data scientists, ML engineers, software engineers, product managers, designers to gather requirements, define project scope and prioritize feature backlogs.
- Establish pragmatic technical visions & roadmaps that balance business outcome, product release timelines and engineering excellence.
- Contribute to the selection, evaluation, and implementation of software technologies, tools, and frameworks, balancing build vs. buy, speed to market, maintainability, etc.
- Take ownership in project planning and stakeholder management, ensuring the efficient allocation of resources and timely delivery of solutions.
- Mentor and guide junior engineers via code reviews and design sessions, fostering a collaborative and high-performance team culture.
Requirements
- 10+ years of professional software development experience with at least two general-purpose programming languages such as Java, C++, Python, TypeScript, etc.
- 7+ years of experience architecting, building & deploying end-to-end AI solutions utilizing open-source/cloud-agnostic components such as search engine (e.g. elastic search, Qdrant), data warehouse (e.g. snowflake), streaming platform (e.g. Kafka), relational database (e.g. postgresql), Nosql (e.g. Cassandra), distributed processing (e.g. Spark, Ray), workflow orchestration (e.g. Airflow, Temporal)
- 5+ years’ experience managing end-to-end solution development life cycle, esp. Measurement and monitoring of operations metrics, analytical insights and business outcomes via dashboards and other tools
- Bachelor’s degree or above in Computer Science, Engineering, Statistics or a related field
- 5+ years’ experience interfacing directly with internal business stakeholders and/or external stakeholders on AIML initiatives (preferred)
- 4+ years’ experience with tools that power LLM-based AI agents: eval frameworks, agent tooling, RAG pipelines, prompt engineering (preferred)
- 3+ years’ experience building LLM-based AI agent workflows via both no code/low code and traditional high-code development environments (preferred)
- Strong communication and problem-solving skills to excel in dynamic, cross-functional and ambiguous decision-making environments
- GEICO will consider sponsoring a new qualified applicant for employment authorization for this position.
Benefits
- Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family’s overall well-being.
- Market-competitive compensation
- 401K savings plan vested from day one that offers a 6% match
- Performance and recognition-based incentives
- Tuition assistance
- Access to additional benefits like mental healthcare as well as fertility and adoption assistance
- Access to industry leading training, certification assistance, career mentorship and coaching
- Supports flexibility - workplace flexibility as well as GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year.
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NO
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