Applied AI Research Engineer

Orbis Operations LLC; United States; Ibrido; USD 120.000 - 220.000; Tempo pieno

Vantaggi offerti da questo lavoro

Competitive Benefits

Travel Opportunities

Flexible Schedule

Descrizione del lavoro

Orbis Operations LLC in the United States is seeking a Lead Applied Research Scientist to advance AI capabilities in agentic AI, knowledge representation, and high-performance analytics. You will frame problems, build prototypes, and translate findings into production-ready features with a strong emphasis on rigorous evaluation.

Travel up to 20% is expected for conferences and customer engagements. You will collaborate with product engineers, publish open-source work, and help shape Orbis's

Competenze

• 3+ years of applied research or research-engineering experience, or an M.S./Ph.D. in Computer Science, Machine Learning, or a related field with equivalent applied work
• Strong Python engineering skills, producing research code another engineer can read, run, and build on
• Demonstrated experience designing and running experiments that produced an actionable conclusion, with methodology you can defend
• Depth in at least one Orbis AI focus area: agentic AI, knowledge representation, dynamic ontologies, autonomous analysis, or high-performance analytics
• Working knowledge of modern LLM and retrieval methods and their practical limitations
• Clear technical writing that makes a result legible to engineers and non-specialist stakeholders alike
• Willingness to travel up to 20%

Mansioni

• Frame research problems drawn from real product and mission gaps, define what a result must show to be worth productizing, and survey existing work before building
• Build prototypes that isolate the question being asked, at the fidelity the question actually requires
• Run rigorous experiments - baselines, ablations, held-out evaluation, and honest error analysis - with methodology another engineer can reproduce
• Build and maintain the datasets and evaluation harnesses your area depends on, including cases that capture known failure modes
• Report results clearly, negative results included, and make a defensible recommendation to continue, pivot, or stop
• Transition validated results into production alongside product engineers, staying involved through the handoff rather than delivering a notebook
• Contribute to the scientific community through publications, open-source releases, and academic collaborations, and advise Orbis on what in the field is worth adopting
• Travel up to 20% for conferences, customer engagement, and team collaboration.

Conoscenze

Python engineering

Experiment design

Technical writing

Applied research

Travel readiness

Knowledge of LLMs

Formazione

MS/PhD in Computer Science, ML, or related field

Strumenti

Pytorch

TensorFlow

Experiment tracking (MLflow)

Descrizione del lavoro

Orbis Operations LLC in the United States is seeking a Lead Applied Research Scientist to advance AI capabilities in agentic AI, knowledge representation, and high-performance analytics. You will frame problems, build prototypes, and translate findings into production-ready features with a strong emphasis on rigorous evaluation.

Travel up to 20% is expected for conferences and customer engagements. You will collaborate with product engineers, publish open-source work, and help shape Orbis's