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Remote Machine Learning Postdoc Jobs in Austin, TX

We are looking for a Machine Learning Engineer to help us design and deliver CX solutions that provide our clients with a beautiful customer journey that achieves results. At PTP we value aptitude ...

Senior Machine Learning Engineer

Austin, TX · On-site +1

$121K - $160K/yr

The Role As a Senior Machine Learning Engineer at Striveworks, you'll be challenged-and trusted-on ... Opportunities to conduct mission-critical field work This position offers a fully remote work ...

The Role As a Staff Machine Learning Engineer at Striveworks, you will be challenged-and trusted-on ... This position offers a fully remote work environment, or you can work hybrid/on site at our office ...

As a part of our team, you will leverage your analytical skills and expertise in machine learning ... However, for the right fit, we may consider remote . Responsibilities: * Problem Identification:

We expect you to be highly analytical with a knack for analysis, math and statistics, and a passion for machine-learning and research. Critical thinking and problem-solving skills are also required.

Core Requirements * 5+ years of experience sourcing AI , machine learning , LLM , research ... Ability to work independently in a remote, fast-paced environment. Other Traits * Naturally curious ...

Hands-on experience with adversarial machine learning techniques and tools (e.g., Foolbox ... Fully Remote: We are a completely remote global team. Though we're distributed, we are intentional ...

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Remote Machine Learning Postdoc information

Is ML a high paying job?

Machine learning postdoctoral positions are generally well-paid compared to many academic roles, with salaries often ranging from $60,000 to over $100,000 annually depending on experience, location, and funding. These roles typically require strong programming skills in Python or R and knowledge of algorithms and data analysis, which can contribute to higher compensation levels.

Is a PhD in ML worth it?

A PhD in machine learning can enhance qualifications for a remote machine learning postdoc position, often leading to higher-level research opportunities and increased earning potential. However, it requires significant time investment and may not be necessary for industry roles that value practical skills and experience with tools like Python and TensorFlow. The decision depends on career goals and the specific requirements of the desired position.

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

A Remote Machine Learning Postdoc requires a PhD in computer science, statistics, or a related field, with expertise in machine learning algorithms, statistical modeling, and research methodologies. Proficiency in programming languages like Python or R, experience with machine learning frameworks such as TensorFlow or PyTorch, and familiarity with version control systems (e.g., Git) are typically necessary. Strong written and verbal communication, self-motivation, and collaboration skills are vital for remote research and effective teamwork. These capabilities enable impactful independent research, smooth collaboration across distributed teams, and the successful dissemination of findings to the wider scientific community.

Is a postdoc harder than a PhD?

A remote machine learning postdoc typically involves more specialized research, higher expectations for independence, and often requires advanced skills in programming and data analysis. While a PhD focuses on completing a dissertation and gaining foundational expertise, a postdoc emphasizes producing publishable research and may involve longer hours and greater responsibility, making it generally more demanding in terms of research output and expertise. However, the difficulty varies based on individual experience and research environment.

What is a Remote Machine Learning Postdoc?

A Remote Machine Learning Postdoc is a postdoctoral researcher specializing in machine learning who works predominantly or entirely from a location outside their host institution, often from home. Their work involves conducting advanced research, developing new algorithms, analyzing data, and publishing findings related to machine learning while collaborating virtually with faculty and research teams. This role is ideal for researchers seeking flexibility or those who cannot relocate but wish to contribute to academic or industrial research from a distance.

Do you need H-1B for postdoc?

A remote machine learning postdoctoral position typically does not require H-1B sponsorship if the candidate is already authorized to work in the country, such as through a visa or citizenship. However, international candidates may need H-1B or other work visas depending on the employer and local immigration laws. Employers often sponsor visas for postdocs to comply with legal requirements and facilitate employment.

What are some common challenges faced by remote machine learning postdocs when collaborating with research teams?

Remote machine learning postdocs often encounter challenges related to communication and coordination, especially when working across different time zones or with teams that have varying schedules. Effective collaboration usually requires proactive communication through virtual meetings, shared code repositories, and regular progress updates. Building rapport with colleagues and staying engaged with ongoing research discussions can take extra effort remotely, but leveraging collaborative tools and participating in virtual seminars or group chats can help bridge the gap. Being organized and self-motivated is key to ensuring productive contributions to the team’s research objectives.
What are the most commonly searched types of Machine Learning Postdoc jobs in Austin, TX? The most popular types of Machine Learning Postdoc jobs in Austin, TX are:
What are popular job titles related to Remote Machine Learning Postdoc jobs in Austin, TX? For Remote Machine Learning Postdoc jobs in Austin, TX, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning Postdoc jobs in Austin, TX look for? The top searched job categories for Remote Machine Learning Postdoc jobs in Austin, TX are:
What cities near Austin, TX are hiring for Remote Machine Learning Postdoc jobs? Cities near Austin, TX with the most Remote Machine Learning Postdoc job openings:
Machine Learning Engineer - REMOTE

Machine Learning Engineer - REMOTE

PTP

Austin, TX • On-site, Remote

Full-time

Re-posted 25 days ago


Job description

Job Description
PTP is a fast-growing system integrator that offers strategic Customer Experience (CX) solutions to our clients. We are looking for a Machine Learning Engineerto help us design and deliver CX solutions that provide our clients with a beautiful customer journey that achieves results. At PTP we value aptitude and creativity as well as experience. We are a diverse organization and are looking for bright, passionate, and committed professionals who strive to be the best at what they do.
Responsibilities
  • Use machine learning techniques to create scalable solutions for business problems
  • Analyze and extract key insights from rich stores of customer data
  • Research and implement ML algorithms for a variety of business problems
  • Automate processes for analyses, model development, validation, and implementation
  • General application data and performance analysis

Requirements
  • 2+ years experience with:
    • Natural language processing (NLP)
    • Free-text analytics
    • Machine learning (ML) algorithms
    • Predictive modeling and analysis
    • Data visualization software (Tableau preferred)
  • Familiarity with AWS SageMaker
  • Strong programming skills in Python
  • Experience with SQL and NoSQL databases
  • Strong problem-solving ability
  • Excellent written and verbal communication and skills
  • Degree in Computer Science or related field

PTP logo

About PTP

Sourced by ZipRecruiter

Industry

It services

Company size

51 - 200 Employees

Headquarters location

San Francisco, CA, US

Year founded

2004