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Temporary Machine Learning Scientist Jobs (NOW HIRING)

IBS Software

Senior Machine Learning Scientist

Austin, TX · On-site

$90K - $123K/yr

We are currently seeking an experienced, dynamic, organized, self-starter to join as a Senior Machine Learning Scientist for our Consulting and Digital Transformation (CDx) line of business. Key ...

Roblox

Senior Machine Learning Scientist

San Mateo, CA · On-site

... modeling, and machine learning. Aligned and partnering with product verticals, we use this ... In Data Science & Analytics, you will contribute to horizontal ML systems and infrastructure that ...

Axon

Senior Machine Learning Scientist

Seattle, WA · On-site

$104K - $142K/yr

Your Impact We are seeking highly skilled and innovative Machine Learning Scientists to join our AI team, focusing on AI applications (LLM and Computer Vision) in Cloud, Devices and Robotics. As a ...

Axon

Senior Machine Learning Scientist

Scottsdale, AZ · On-site

$92K - $125K/yr

Your Impact We are seeking highly skilled and innovative Machine Learning Scientists to join our AI team, focusing on AI applications (LLM and Computer Vision) in Cloud, Devices and Robotics. As a ...

Axon

Senior Machine Learning Scientist

Boston, MA · On-site

$99K - $135K/yr

Your Impact We are seeking highly skilled and innovative Machine Learning Scientists to join our AI team, focusing on AI applications (LLM and Computer Vision) in Cloud, Devices and Robotics. As a ...

Roblox

Senior Machine Learning Scientist

San Mateo, CA · On-site

$263K - $322K/yr

You Have: * 5+ years of industry experience in prototyping and building scalable machine learning ... Science, Applied Math, Physics, Engineering, or other quantitative fields. For roles that are based ...

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Temporary Machine Learning Scientist information

What is the difference between Temporary Machine Learning Scientist vs Data Scientist?

AspectTemporary Machine Learning ScientistData Scientist
CredentialsTypically requires a master's or PhD in computer science, data science, or related fields; experience with machine learning frameworksUsually holds a bachelor's or master's in data science, statistics, or related fields; strong analytical skills
Work EnvironmentProject-based, often contract roles in tech, finance, or healthcare companiesFull-time or contract roles across various industries, focusing on data analysis and insights
Employer UsageHired for specialized machine learning projects, prototypes, or research tasksEngaged in data analysis, reporting, and building predictive models

In summary, a Temporary Machine Learning Scientist focuses on developing and implementing machine learning models on a temporary basis, often requiring advanced credentials and specialized skills. In contrast, a Data Scientist has a broader role in analyzing data and generating insights, with less emphasis solely on machine learning techniques.

What are Temporary Machine Learning Scientists?

Temporary Machine Learning Scientists are professionals hired on a short-term basis to develop, implement, and optimize machine learning models within an organization. They typically work on specific projects or to fill a temporary gap in expertise, often collaborating with data scientists, engineers, and stakeholders. Their responsibilities may include data preprocessing, feature engineering, model selection, and evaluation. These roles are ideal for projects with defined timelines or exploratory research that does not require a permanent hire. Temporary contracts can range from a few months to a year, depending on the project's scope and needs.

What types of projects do Temporary Machine Learning Scientists typically work on, and how do they integrate with existing teams?

Temporary Machine Learning Scientists are often brought in to support short-term projects such as data analysis, model prototyping, or improving existing machine learning pipelines. Their work usually involves collaborating closely with data engineers, software developers, and product managers to ensure seamless integration of models into production systems. Since the role is temporary, effective communication and quick adaptation to the team's workflow are crucial. These scientists are expected to rapidly understand the company's data and objectives, deliver actionable insights, and document their work for team continuity after their contract ends.

What are the key skills and qualifications needed to thrive as a Temporary Machine Learning Scientist, and why are they important?

To thrive as a Temporary Machine Learning Scientist, you typically need advanced knowledge of machine learning algorithms, data analysis, programming skills (such as Python or R), and a relevant degree in computer science or a related field. Familiarity with frameworks like TensorFlow, PyTorch, and tools for data processing and model deployment is often required, along with experience using cloud platforms such as AWS or Azure. Strong problem-solving abilities, adaptability, and effective communication skills help you quickly integrate into teams and deliver results on short-term projects. These skills ensure you can efficiently contribute to impactful solutions and adapt to rapidly changing project requirements.
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What are the most commonly searched types of Machine Learning Scientist jobs? The most popular types of Machine Learning Scientist jobs are:
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Temporary Machine Learning Scientist jobs near you
Infographic showing various Temporary Machine Learning Scientist job openings in the United States as of July 2026, with employment types broken down into 20% Internship, and 80% Full Time. Highlights an 60% In-person, and 40% Remote job distribution.
Senior Machine Learning Scientist

Senior Machine Learning Scientist

IBS Software

Austin, TX • On-site

$90K - $123K/yr

Other

Retirement, PTO

Posted 23 days ago

Job description

IBS Software is a fast-growing global software company with over 5,000 employees and a 28-year track record of innovation for the world’s leading travel brands. We provide a broad range of industry leading products and services that manage mission critical operations of airlines, airports, cruise lines, hospitality partners, tour operators and oil & gas companies. These products improve safety, revenue and workflow efficiency, while managing growth, and reducing operating costs. Certified as a Great Place to Work®, IBS Software has a culture built on the values of precision, commitment, passion, integrity and respect for the individual.


We are currently seeking an experienced, dynamic, organized, self-starter to join as a Senior Machine Learning Scientist for our Consulting and Digital Transformation (CDx) line of business.


Key Responsibilities


  • Design, build, and evaluate multi-step agentic AI systems, including autonomous agents capable of:
  • Planning and goal decomposition
  • Tool selection and execution
  • Memory and state management
  • Multi-agent collaboration and coordination
  • Research and implement state-of-the-art agentic architectures, including:
  • ReAct and tool-calling agents
  • Reflection and self-improvement loops
  • Chain-of-thought and structured reasoning
  • Tool-augmented and hybrid agent frameworks
  • Develop and evolve agent orchestration approaches, defining how agents:
  • Decompose complex tasks
  • Delegate to sub-agents
  • Handle uncertainty, failure, and recovery
  • Integrate LLMs with external tools, APIs, databases, and code execution environments to enable real-world task completion.
  • Define and own scientific evaluation frameworks for agentic systems, measuring:
  • Task success and reliability
  • Generalization and robustness
  • Latency, cost, and efficiency
  • Safety and unintended behaviors
  • Collaborate closely with Product, Engineering, and Research partners to translate business and user needs into well-scoped scientific problems and agentic system designs.
  • Identify and mitigate agent-specific risks, including:
  • Prompt injection and adversarial inputs
  • Hallucination in long-horizon reasoning
  • Unsafe or unintended tool actions
  • Emergent multi-agent failure modes
  • Stay current with the rapidly evolving agentic AI research landscape, synthesizing academic literature and industry innovation to guide technical strategy.
  • Mentor junior ML scientists and engineers, providing guidance on:
  • Agentic design patterns
  • LLM experimentation best practices
  • Scientific rigor and evaluation methodology


Minimum Qualifications


  • 10+ years of related industry or research experience in machine learning or applied AI.
  • Demonstrated experience designing and evaluating agentic or multi-step AI systems, such as:
  • ReAct-style agents
  • Tool-using or planner-based agents
  • Multi-agent systems or pipelines
  • Strong proficiency in Python and ML frameworks such as PyTorch, TensorFlow, or JAX.
  • Hands-on experience with LLM APIs and agent frameworks, including:
  • LangChain LlamaIndex
  • Similar orchestration or agent libraries
  • Experience integrating LLMs with external tools, APIs, and structured data sources for real-world tasks.
  • Solid understanding of prompting and reasoning techniques, including:
  • Chain-of-thought
  • Few-shot and zero-shot prompting
  • Structured output and constrained decoding
  • Experience designing and running evaluation frameworks for ML systems, including offline benchmarks and production monitoring.


Preferred Qualifications


  • PhD, MS, or BS in Computer Science, Machine Learning, Statistics, Engineering, or a related field, or equivalent professional experience.
  • Experience in travel, e-commerce, marketplace, or advertising platforms.
  • Publications in top-tier ML conferences or journals.
  • Patented inventions, pending or issued.
  • Contributions to open-source ML / LLM / agentic AI projects.
  • Experience partnering with ML Engineering teams to transition research prototypes into production systems.



Work Authorization


Must be authorized to work in United States and hold a valid passport


At IBS you can look forward to:

  • Operating with the brightest minds in the hotel software industry
  • Receiving global exposure
  • Benefiting from continuous learning programs
  • Performance-based career growth
  • Competitive compensation that includes fixed compensation, and variable compensation based on achieving set sales goals, company paid employee benefits, vacation, sick and personal leave, company matched 401k


IBS is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans status or any other characteristic protected by law. IBS as an equal opportunity employer bases its hiring decisions on the business need and the best qualified candidates available, and does not discriminate in its employment decisions on the basis of any protected category. Candidates who are offered employment may be subject to a criminal record and other background checks as permitted or required by company policy or applicable law.

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