Senior Machine Learning Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Develop scalable AI proof-of-concepts aimed at illustrating a clear trajectory from prototype to enterprise-level solutions.

• Collaborate with product managers, business stakeholders, platform teams, and AI & software engineers to convert vague business requirements into actionable AI solutions that deliver measurable value.

• Architect and implement contemporary AI systems utilizing LLMs, agentic workflows, retrieval-augmented generation, data pipelines, APIs, cloud-native services, and enterprise platforms.

• Quickly assess feasibility and value by evaluating technical risks, data readiness, integration challenges, user experience, security aspects, performance, costs, and business implications.

• Produce reusable technical resources including reference architectures, reusable components, documentation, decision records, and handoff materials that empower product, platform, or delivery teams to scale successful POCs.

• Elevate the technical standards for the team by exemplifying robust engineering practices, mentoring peers, enhancing delivery processes, and fostering clear ownership and accountability in dynamic, fast-paced environments.

⛳️ Requirements

• Doctorate degree OR Master’s degree with 2 years of relevant experience OR Bachelor’s degree with 4 years of relevant experience OR Associate’s degree with 8 years of relevant experience OR High school diploma / GED with 10 years of relevant experience.

• 4-6 years of pertinent experience in AI engineering, machine learning engineering, software engineering, data engineering, cloud engineering, or similar technical roles.

• Proven experience in developing full-stack AI-driven applications that transcend experimentation, focusing on scalability, security, evaluation, and maintainability.

• Comprehensive understanding of modern AI application architectures, including LLMs, retrieval-augmented generation, embeddings, vector databases, agentic workflows, tool utilization, orchestration frameworks, and AI evaluation techniques.

• Experience in defining and implementing evaluation methods for AI solutions, encompassing accuracy, reliability, hallucination risk, latency, usability, safety, cost, and suitability for intended use.

• Capacity to convert ambiguous business challenges into practical technical strategies, make informed trade-offs, and swiftly validate feasibility, value, risks, and pathways to scalability.

• Proficient in AWS Cloud, data pipelines, integration architecture, containers, CI/CD, observability, and secure development methodologies.

• Strong foundation in software engineering, preferably utilizing Python and modern development practices, including testing, version control, modular design, documentation, and maintainable coding.

• Demonstrated capability to responsibly leverage AI tools to enhance engineering productivity, explore technical solutions, automate repetitive tasks, and improve the delivery of machine learning or software products.

• Exceptional communication, ownership, and cross-functional leadership abilities, with a proven track record of effective collaboration with product managers, business stakeholders, platform teams, and AI and software engineers.

🏝️ Benefits

• A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions.

• Group medical, dental, and vision coverage.

• Life and disability insurance.

• Flexible spending accounts.

• A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan.

• Stock-based long-term incentives.

• Award-winning time-off plans.

• Flexible work models where possible.