Degree in Computer Science, Machine Learning, or Related disciplines; and 2+ years of relevant experience -Excellence in Python -Deep expertise in algorithms and data structures -Exposure to DevOps ...
Degree in Computer Science, Machine Learning, or Related disciplines; and 2+ years of relevant experience -Excellence in Python -Deep expertise in algorithms and data structures -Exposure to DevOps ...
Machine Learning Engineer
Austin, TX · On-site
Nice to Have * Advanced degree in Computer Science, Machine Learning, Robotics, or a related field. * Experience developing ML algorithms for autonomous vehicles or robotics applications.
Machine Learning Engineer
Austin, TX · On-site
Nice to Have * Advanced degree in Computer Science, Machine Learning, Robotics, or a related field. * Experience developing ML algorithms for autonomous vehicles or robotics applications.
Senior Machine Learning Scientist
$97K - $124K/yr
Your Impact The Senior Machine Learning Research Scientist is a key contributor to DISCO's machine learning and AI research initiatives, leading the development of advanced algorithms and ...
Senior Machine Learning Scientist
$97K - $124K/yr
Your Impact The Senior Machine Learning Research Scientist is a key contributor to DISCO's machine learning and AI research initiatives, leading the development of advanced algorithms and ...
Nice to Have * Advanced degree in Computer Science, Machine Learning, Robotics, or a related field. * Experience developing ML algorithms for autonomous vehicles or robotics applications.
Nice to Have * Advanced degree in Computer Science, Machine Learning, Robotics, or a related field. * Experience developing ML algorithms for autonomous vehicles or robotics applications.
Senior Machine Learning Scientist
Austin, TX · On-site
$97K - $124K/yr
Your Impact The Senior Machine Learning Research Scientist is a key contributor to DISCO's machine learning and AI research initiatives, leading the development of advanced algorithms and ...
Senior Machine Learning Scientist
Austin, TX · On-site
$97K - $124K/yr
Your Impact The Senior Machine Learning Research Scientist is a key contributor to DISCO's machine learning and AI research initiatives, leading the development of advanced algorithms and ...
Senior Machine Learning Scientist
$90K - $123K/yr
... starter to join as a Senior Machine Learning Scientist for our Consulting and Digital ... Define and own scientific evaluation frameworks for agentic systems, measuring: * Task success and ...
Senior Machine Learning Scientist
$90K - $123K/yr
... starter to join as a Senior Machine Learning Scientist for our Consulting and Digital ... Define and own scientific evaluation frameworks for agentic systems, measuring: * Task success and ...
Machine Learning Engineer
Austin, TX · On-site
... scientists/analysts, and product managers, to help develop and implement machine learning ... algorithms and testing workflows. 4+ years of related experience building high throughput scalable ...
Machine Learning Engineer
Austin, TX · On-site
... scientists/analysts, and product managers, to help develop and implement machine learning ... algorithms and testing workflows. 4+ years of related experience building high throughput scalable ...
Machine Learning Engineer
Plano, TX · On-site
Experience supporting enterprise-scale analytics, data science, and AI initiatives. * Experience mentoring technical teams and providing technical leadership on machine learning and data engineering ...
Machine Learning Engineer
Plano, TX · On-site
Experience supporting enterprise-scale analytics, data science, and AI initiatives. * Experience mentoring technical teams and providing technical leadership on machine learning and data engineering ...
Machine Learning Engineer LOCATIONSan Antonio, TX 78208 CLEARANCETS/SCI Full Poly (Please note this ... You will collaborate with data scientists, engineers, and product teams to turn data into ...
Machine Learning Engineer LOCATIONSan Antonio, TX 78208 CLEARANCETS/SCI Full Poly (Please note this ... You will collaborate with data scientists, engineers, and product teams to turn data into ...
The ideal candidate will have a deep understanding of data science and machine learning tools, techniques, and algorithms, coupled with a proven track record of successfully leading projects from ...
The ideal candidate will have a deep understanding of data science and machine learning tools, techniques, and algorithms, coupled with a proven track record of successfully leading projects from ...
Director, Machine Learning
Austin, TX · On-site
This position is ideal for an experienced Data Science / Machine learning leader who is passionate about collaborating with business and technology partners and engineers to solve challenging ...
Director, Machine Learning
Austin, TX · On-site
This position is ideal for an experienced Data Science / Machine learning leader who is passionate about collaborating with business and technology partners and engineers to solve challenging ...
Machine Learning Engineer
$132K - $244K/yr
... scientists/analysts, and product managers, to help develop and implement machine learning ... algorithms and testing workflows.","responsibilities":"Collaborate with other MLEs to build ...
Machine Learning Engineer
$132K - $244K/yr
... scientists/analysts, and product managers, to help develop and implement machine learning ... algorithms and testing workflows.","responsibilities":"Collaborate with other MLEs to build ...
Senior Machine Learning Engineer
Austin, TX · On-site +1
$121K - $160K/yr
Founded by data scientists and engineers, Striveworks set out to make the journey from deployment ... The Role As a Senior Machine Learning Engineer at Striveworks, you'll be challenged-and trusted-on ...
Senior Machine Learning Engineer
Austin, TX · On-site +1
$121K - $160K/yr
Founded by data scientists and engineers, Striveworks set out to make the journey from deployment ... The Role As a Senior Machine Learning Engineer at Striveworks, you'll be challenged-and trusted-on ...
Machine Learning Engineer
Austin, TX · On-site +1
Working closely with engineering, analytics, data science, and product teams, you'll take our machine learning capabilities to the next level. This is a dynamic opportunity to become the expert on ...
Quick apply
Machine Learning Engineer
Austin, TX · On-site +1
Working closely with engineering, analytics, data science, and product teams, you'll take our machine learning capabilities to the next level. This is a dynamic opportunity to become the expert on ...
Director, Machine Learning
Austin, TX · Hybrid
This position is ideal for an experienced Data Science / Machine learning leader who is passionate about collaborating with business and technology partners and engineers to solve challenging ...
Director, Machine Learning
Austin, TX · Hybrid
This position is ideal for an experienced Data Science / Machine learning leader who is passionate about collaborating with business and technology partners and engineers to solve challenging ...
Machine Learning Engineer
$132K - $244K/yr
... scientists/analysts, and product managers, to help develop and implement machine learning ... algorithms and testing workflows.","responsibilities":"Collaborate with other MLEs to build ...
Machine Learning Engineer
$132K - $244K/yr
... scientists/analysts, and product managers, to help develop and implement machine learning ... algorithms and testing workflows.","responsibilities":"Collaborate with other MLEs to build ...
Machine Learning Engineer
$132K - $244K/yr
... scientists/analysts, and product managers, to help develop and implement machine learning ... algorithms and testing workflows.","responsibilities":"Collaborate with other MLEs to build ...
Machine Learning Engineer
$132K - $244K/yr
... scientists/analysts, and product managers, to help develop and implement machine learning ... algorithms and testing workflows.","responsibilities":"Collaborate with other MLEs to build ...
Machine Learning Engineer II
Houston, TX · On-site
$93K - $127K/yr
Design, implement, and productionize machine learning models and data pipelines in collaboration with data scientists and engineers. * Design, implement, and productionize machine learning models and ...
Machine Learning Engineer II
Houston, TX · On-site
$93K - $127K/yr
Design, implement, and productionize machine learning models and data pipelines in collaboration with data scientists and engineers. * Design, implement, and productionize machine learning models and ...
Machine Learning Engineer II
$93K - $127K/yr
Design, implement, and productionize machine learning models and data pipelines in collaboration with data scientists and engineers. * Design, implement, and productionize machine learning models and ...
Machine Learning Engineer II
$93K - $127K/yr
Design, implement, and productionize machine learning models and data pipelines in collaboration with data scientists and engineers. * Design, implement, and productionize machine learning models and ...
Sr. Machine Learning Engineer Duration: 12 -24 Months Location: Merrimack, NH/ Smithfield, RI ... Engineering, Computer Science, etc.) * 8+ years of proven experience in implementing Big data ...
Sr. Machine Learning Engineer Duration: 12 -24 Months Location: Merrimack, NH/ Smithfield, RI ... Engineering, Computer Science, etc.) * 8+ years of proven experience in implementing Big data ...
Scientific Machine Learning information
What is scientific machine learning?
Scientific machine learning (SciML) is an interdisciplinary field that combines principles from machine learning and scientific computing to solve complex scientific and engineering problems. It involves developing algorithms and models that can learn from data and physical laws, such as differential equations, to make predictions, optimize systems, or gain insights into phenomena. SciML is widely used in areas like physics, biology, climate science, and engineering, enabling researchers to accelerate simulations and make data-driven discoveries. The field often leverages both traditional numerical methods and modern machine learning techniques, making it a rapidly evolving area of research.
What are some common challenges faced by professionals in Scientific Machine Learning, and how can they be addressed?
Professionals in Scientific Machine Learning often encounter challenges such as integrating domain-specific scientific knowledge with machine learning models, managing large and complex datasets, and ensuring that models are interpretable and physically consistent. Collaboration with domain experts and interdisciplinary teams is essential to bridge knowledge gaps and validate results. To address these challenges, it is helpful to invest time in understanding the underlying scientific principles, keep up-to-date with advancements in both machine learning and scientific fields, and utilize specialized tools and frameworks designed for scientific data.
What are the key skills and qualifications needed to thrive as a Scientific Machine Learning professional, and why are they important?
To thrive as a Scientific Machine Learning professional, you need a strong background in mathematics, statistics, programming (often Python), and domain-specific scientific knowledge, typically with a graduate degree in a STEM field. Proficiency in machine learning frameworks (such as TensorFlow or PyTorch), scientific computing tools (like NumPy, SciPy), and experience with high-performance computing are commonly required. Critical thinking, problem-solving, and collaborative communication are vital soft skills for designing experiments and interpreting complex data. These skills ensure robust, reproducible results and the ability to bridge scientific inquiry with advanced computational methods.
What is the difference between Scientific Machine Learning vs Data Scientist?
| Aspect | Scientific Machine Learning | Data Scientist |
|---|---|---|
| Required credentials | Advanced degrees in CS, ML, or related fields; knowledge of scientific computing | Degree in CS, statistics, or related fields; strong analytical skills |
| Work environment | Research labs, academia, industry R&D teams | Business analytics, tech companies, consulting firms |
| Industry usage | Research, scientific computing, engineering simulations | Business insights, predictive modeling, data analysis |
Scientific Machine Learning focuses on integrating scientific knowledge with machine learning techniques for research and engineering applications. Data Scientists analyze data to extract insights and build predictive models for business or operational purposes. While both roles require strong technical skills, Scientific Machine Learning emphasizes scientific computing and domain-specific modeling, whereas Data Scientists focus on data analysis and visualization.
What are popular job titles related to Scientific Machine Learning jobs in Texas? For Scientific Machine Learning jobs in Texas, the most frequently searched job titles are:
- Remote Java Machine Learning
- Freelance Edge Ai Machine Learning
- Remote Machine Learning Engineer
- Staff Software Engineer Machine Learning
- Machine Learning Engineer Apprenticeship
- Machine Learning Engineer
- Senior Applied Scientist Machine Learning
- Machine Learning Engineer From Home
- Machine Learning Architect
- Volunteer Junior Machine Learning Engineer
What job categories do people searching Scientific Machine Learning jobs in Texas look for? The top searched job categories for Scientific Machine Learning jobs in Texas are:
What cities in Texas are hiring for Scientific Machine Learning jobs? Cities in Texas with the most Scientific Machine Learning job openings:
Job description
Machine Learning Engineer (Austin, TX)
Striveworks is a leader in Machine Learning Operations for highly regulated industries such as the Department of Defense/U.S. Military. They enable their customers to extract actionable insight from their data at the point of collection and indefinitely in the future with the help of AI/Machine Learning. The product they offer allows their clients to monitor, manage, integrate, visualize, export, and analyze their data to inform decisions and streamline business.
They are looking to double the team that they have currently of about 60 employees over the next year. They are a startup, and this is a very unique opportunity to join their team in their fastest growing stages.
Location: Austin, TX
Salary: 140K-190K
Bonus: annual and performance based
401K Match: n/a
Benefits: Equity - Owners have a history of another startup that turned to IPO in 5 years. The company offers a generous equity plan to be a stakeholder and participate in the company's success.
Position SummaryAs a Machine Learning Engineer on the Striveworks Technical Engagements team, you'll be challenged - and trusted - on day one to be a core contributor to the projects and direction of the company. You will be a key representative and solutions provider to sites and customers where Striveworks' proprietary data platform is deployed.
You will integrate and apply this platform, and rapidly prototype and deliver machine learning capabilities for customers. You'll tackle real world problems as they unfold, utilizing your technical and communication skills to provide reliable and scalable solutions.
At times, you will be tasked with on-site travel to customer locations. At other times, you will be based in Striveworks' Austin, TX headquarters.
Requirements-Able and willing to travel domestically and internationally up to 10%
-B.S. Degree in Computer Science, Machine Learning, or Related disciplines; and 2+ years of relevant experience
-Excellence in Python
-Deep expertise in algorithms and data structures
-Exposure to DevOps tooling and best practices (Git, Docker, Kubernetes, CI/CD tools)
-Familiarity with relational and non-relational database design and architecture
-Familiarity with Javascript
Nice To Haves-Experience with ETL/data pipelines
-Understanding of JavaScript frameworks (React, Vue, or Angular)
-Experience designing RESTful or GraphQL APIs
-Comfortable with Cloud Architecture
-Tensorflow/PyTorch experience
-Knowledge of messaging systems like Kafka, RabbitMQ, or similar
-GoLang/Flyte experience
About 1872 Consulting
Sourced by ZipRecruiter
1872 Consulting, based in Chicago, IL, USA, operates within the IT consulting industry. Armed with a diverse team of experts, the company offers specialized IT consulting services, focusing on modernizing business technologies and driving innovative business strategies. Established in 1872, the company has a rich history marked by its commitment to bridging the gap between businesses and technology. Its mission is to empower organizations to surpass their business goals by providing state-of-the-art IT solutions and service. The company prides itself on its core values of integrity, excellence, and innovation, instilling these principles in every project they undertake.
Industry
It services
Company size
11 - 50 Employees
Headquarters location
Chicago, IL, US
Year founded
2014