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Remote Machine Learning Postdoc Jobs in California

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Machine Learning Systems Engineer

San Francisco, CA · On-site +1

$144K - $192K/yr

We are looking for a Machine Learning Systems Engineer to join our ML Acceleration team. In this ... be fully remote. The salary range for this role is an estimate based on a wide range of ...

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Senior Machine Learning Engineer

San Francisco, CA · On-site +1

$186K - $300K/yr

What you'll do We are looking for a Senior Machine Learning Engineer to redefine how we operate our ... Employee divides their time between in-office and remote work. Access to an office location is ...

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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 California? The most popular types of Machine Learning Postdoc jobs in California are:
What are popular job titles related to Remote Machine Learning Postdoc jobs in California? For Remote Machine Learning Postdoc jobs in California, the most frequently searched job titles are:
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What cities in California are hiring for Remote Machine Learning Postdoc jobs? Cities in California with the most Remote Machine Learning Postdoc job openings:
Remote Machine Learning Postdoc jobs near you
Senior Software Engineer, Machine Learning

Senior Software Engineer, Machine Learning

ZipRecruiter

Santa Monica, CA • Remote

$140K - $225K/yr

Full-time

Posted 21 days ago

Be an early applicant

ZipRecruiter rating

8.5

Company rating: 8.5 out of 10

ZipRecruiter

Based on 25 frontline employees who took The Breakroom Quiz

7.9

Company rating compared to similar companies: 7.9 out of 10

Software companies average

Based on 3,700 frontline employees who took The Breakroom Quiz

Job description

We offer a hybrid work environment. Most US-based positions can also be performed remotely (any exceptions will be noted in the Minimum Qualifications below.)

Our Mission:

To actively connect people to their next great opportunity.

Who We Are:

ZipRecruiter is a leading online employment marketplace. Powered by AI-driven smart matching technology, the company actively connects millions of all-sized businesses and job seekers through innovative mobile, web, and email services, as well as through partnerships with the best job boards on the web. ZipRecruiter has the #1 rated job search app on iOS & Android.

Summary:

At ZipRecruiter, where a universe of data, brimming with over a billion archived job postings, tens of millions of dynamic job seekers, and countless impression and click events, there's plenty of opportunities for innovation. Here, your experience will be put to work crafting new, data-driven features that impact the lives of millions, connecting them to their dream jobs.

We're tackling exciting challenges: imagine developing a system that can predict salaries for new job postings, using a training set of job postings and known salaries. But the fun doesn't stop at model-building. Our work involves an immersive dive into data - gathering, cleaning, analyzing, and extracting meaningful insights.

Key Focuses:

  • Design, develop, and maintain machine learning models and algorithms to solve complex business problems
  • Identify patterns, trends, and anomalies in the data, and visualize insights using appropriate tools
  • Assess the performance of machine learning models using appropriate metrics, validation techniques, and testing datasets
  • Discover opportunities to optimize models by fine-tuning hyperparameters, feature selection, or employing regularization techniques to improve accuracy, performance, and scalability
Minimum Qualifications:
  • 3+ year of professional software development experience with a focus in machine learning
  • Deep experience in machine learning algorithms, techniques, and best practices
  • Comprehensive computer science fundamentals in coding, object-oriented programming, data structures, and algorithms

Preferred Qualifications:

  • 5+ year of professional software development experience with a focus in machine learning
  • BS/MS/PhD in Mathematics, Computer Science, Physics, related technical field or equivalent practical experience
  • Strong knowledge of machine learning algorithms (e.g., linear regression, SVM, decision trees, neural networks, clustering, etc.) and best practices
  • Experience with machine learning algorithms and frameworks, such as TensorFlow, PyTorch, or scikit-learn
  • Experience with deep learning architectures and techniques, such as Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Long Short-Term Memory (LSTM), and Generative Adversarial Networks (GANs)
  • Background with NLP techniques and tools, such as tokenization, stemming, lemmatization, sentiment analysis, and named entity recognition, and libraries like NLTK, SpaCy, or BERT

As part of our team you'll enjoy:

  • Competitive compensation
  • Exceptional benefits package
  • Flexible Vacation & Paid Time Off
  • Employer-matched 401(k) plan

#LI-Remote

The US base salary range for this full-time position is $140,000-$225,000. Our salary ranges are determined by role, level, and location, and the range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location, role-related knowledge and skills, depth of experience, relevant education or training, and additional role-related considerations.

Depending on the position offered, equity, bonuses, commission, or other forms of compensation may also be provided as part of a total compensation package, in addition to a full range of medical, financial, and other benefits.

ZipRecruiter is proud to be an equal opportunity employer and provides equal employment opportunities (EEO) to all employees and applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity or genetics.

Privacy Notice: For information about ZipRecruiter's collection and processing of job applicant personal data for this job, please see our Privacy Notice at: https://www.ziprecruiter.com/careers/job-applicant-privacy-notice

Working at ZipRecruiter

Perks for frontline workers

From ZipRecruiter, via Breakroom

  • Competitive compensation

  • Annual bonus

  • RSUs for certain roles

  • Flexible time off

  • We match a percentage of your 401(k) contributions

  • Generous parental leave

  • Fertility and family-forming benefits

  • Pet insurance

  • Company-paid access to financial planning resources

  • Wellness stipend

  • Internet stipend & home office program

  • Snacks and occasional meals in some offices

  • Employee Resource Groups

  • Employee-driven recognition and rewards program

  • Live town halls

  • Hosted team building activities

About ZipRecruiter, in their own words

From ZipRecruiter

We’re one team with a shared mission—to actively connect people to their next great opportunity. No matter who you are or where you work from, we create an inclusive, respectful environment where everyone can do their best work.

Company values

From ZipRecruiter

Our values shape everything we do.

We are fearless builders, we foster excellence without egos, and our hearts are in it.

Diversity and inclusion statement

From ZipRecruiter

We’re passionate problem-solvers who know diverse perspectives lead to better outcomes. We celebrate wins, learn together, and value the process of working as one team.

What ZipRecruiter employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About ZipRecruiter

Sourced by ZipRecruiter

What started as a way to help small businesses find great candidates has grown into a leading online employment marketplace that connects millions of job seekers with companies of all sizes. Our sophisticated Al-matching technology is at the core of everything we do-and by analyzing billions of user interactions, it's always getting smarter. It improves the job search experience for millions of people every month and helps businesses of all sizes find and hire the right candidates quickly. We empower job seekers with the tools they need to stand out and get hired. Like a personal recruiter, we track down relevant opportunities in our marketplace, proactively pitch them to hiring managers at top companies, and deliver status updates along the way. We make it easier for people to find work We match businesses of all sizes with the best people for their open roles. Reaching millions of job seekers through our site, * email, and #1 rated job seeker app, we target the most qualified candidates to apply when a job goes live in our marketplace. The result? More quality candidates and reduced hiring times.

Industry

Software development

Company size

1,001 - 5,000 Employees

Headquarters location

Santa Monica, CA, US

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