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Remote Machine Learning Postdoc Jobs in Austin, TX

Senior DevOps Engineer

Austin, TX · On-site +1

$128K - $165K/yr

Remote * Salary $150k - $200k * Seed Company * Skills: Ansible, Bash, Python, Terraform, Docker ... machine learning architecture. * Have an expert level understanding of Terraform and Ansible in ...

Senior Software Engineer

San Francisco, CA · On-site +1

$144K - $190K/yr

Experience with fintech, data engineering, accounting systems, machine learning and/or 2-sided ... Located and able to work in SF Bay Area (with remote opportunities) Job Responsibilities Overall:

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

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Showing results 1-20

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:
Director, Predictive Analytics (U.S.A. Remote)

Director, Predictive Analytics (U.S.A. Remote)

Danaher

Austin, TX • On-site, Remote

$132K - $232K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago


Danaher rating

7.7

Company rating: 7.7 out of 10

Based on 29 frontline employees who took The Breakroom Quiz


Job description

Bring more to life.

Are you ready to accelerate your potential and make a real difference within life sciences, diagnostics and biotechnology?

Within Danaher the work our diagnostic businesses do saves lives-and we're all united by a shared commitment to innovate for tangible impact.

You'll thrive in a culture of belonging where you and your unique viewpoint matter. And by harnessing Danaher's system of continuous improvement, you help turn ideas into impact - innovating at the speed of life.

We're accelerating the development of cutting-edge diagnostics to solve some of the world's most pressing health challenges. Across our diagnostics operating companies we are driving innovation through partnerships with top academic institutions and leading players in biopharma and translational research. We're bringing the best minds together to accelerate innovation and unlock the full potential of the latest scientific advances. Together, we're expanding access to precision diagnostics for millions of people worldwide - and we're using our unmatched global scale and proven playbook to make it happen, from hospital labs to mobile clinics. By helping providers, patients, and families get faster, more precise diagnostic results, we're improving treatment options and saving lives.

Learn about the Danaher Business System which makes everything possible.

The Director of Predictive Analytics will be dedicated to elevating HR through data-driven decision-making. Your expertise will guide the organization by designing, building, and deploying advanced models that inform critical workforce decisions, with a strong emphasis on workforce planning and talent outcomes.

This position reports to the Head of People Insights and is part of the Diagnostics People Insights Team and will be fully US remote.

Specific duties include but are not limited to:

  • Designing and implementing predictive models for workforce outcomes (attrition, quality of hire, high performance/potential).

  • Applying traditional and machine learning methods to large, complex HR datasets, ensuring data integrity and confidentiality.

  • Translating analytical findings into actionable insights through dashboards, reports, and presentations for HR leaders and business partners.

  • Advising HR functions on emerging trends in HR analytics, AI strategy, and compliance across global jurisdictions.

  • Leading and delivering high-impact projects such as attrition risk models, workforce forecasting, engagement-to-outcome modeling, and talent intelligence insights.

The essential requirements of the job include:

  • Master's or Ph.D. in Industrial-Organizational Psychology, Data Science, AI/ML, Statistics, or a related field, with the ability to translate complex analytics into executive-ready insights while ensuring alignment with global legal and regulatory requirements.

  • 8+ years of experience in HR analytics, including familiarity with HR systems (Workday, SuccessFactors) and regulated environments.

  • Strong experience with predictive modeling, statistical techniques.

  • Proficiency in Alteryx, R, Python, or other data science platforms

WithinDanaherDiagnostics,weoffer a broad array of comprehensive, competitive benefit programs that add value to our lives. Whether it's a health care program or paid time off, our programs contribute to life beyond the job. Check out our benefits atDanaher Benefits Info.

At DH Diagnostics we believe in designing a better, more sustainable workforce. We recognize the benefits of flexible, remote working arrangements for eligible roles and are committed to providing enriching careers, no matter the work arrangement. We ideally would like this position onsite, but is eligible for a remote work arrangement. Additional information about this remote work arrangement will be provided by your interview team. Explore the flexibility and challenge that working for DH Diagnostics can provide.

The salary range for this role is $132,500 - 232,000 USD Annually. This is the range that we in good faith believe is the range of possible compensation for this role at the time of this posting. We may ultimately pay more or less than the posted range. This range may be modified in the future.

This job is also eligible for bonus/incentive pay.

We offer comprehensive package of benefits including paid time off, medical/dental/vision insurance and 401(k) to eligible employees.

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with the law.

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Join our winning team today. Together, we'll accelerate the real-life impact of tomorrow's science and technology. We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life.


For more information, visit www.danaher.com.


Danaher Corporation and all Danaher Companies are committed to equal opportunity regardless of race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity, or other characteristics protected by law.


The U.S. EEO posters are available here.


For candidates who are based outside of New York City or who are applying for roles outside of New York City, for more information about conditions of any job offer please click here


We comply with federal and state disability laws and make reasonable accommodations for applicants and employees with disabilities. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact:1-202-419-7762 or applyassistance@danaher.com.


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About Danaher

Sourced by ZipRecruiter

We are a science and technology innovator committed to helping our customers solve complex challenges, and improving quality of life around the world. A global family of more than 20 operating companies, we drive meaningful innovation in some of today's most dynamic, growing industries.

Industry

Medical equipment and supplies manufacturing

Company size

10,000+ Employees

Headquarters location

Washington, DC, US

Year founded

1984