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Remote Machine Learning Postdoc Jobs in Los Angeles, CA

Spokeo

Principal Product Manager, Data Products

Pasadena, CA · On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... machine learning techniques in collaboration with data science and ML engineering teams. * 10% -- ... As a remote-first company, we are able to hire team members residing in the following US states: AZ ...

Spokeo

Principal Product Manager, Data Products

Pasadena, CA · On-site +1

$171K - $207K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... machine learning techniques in collaboration with data science and ML engineering teams. * 10% - ... As a remote-first company, we are able to hire team members residing in the following US states: AZ ...

Motorola

Senior DevOps Engineer (US REMOTE)

Culver City, CA · Remote

$140K - $170K/yr

  • Medical

  • Dental

  • Retirement

Experience with AI/machine learning technologies is strongly preferred. * Familiarity with TCP/IP ... Candidate can live anywhere in the United States. #LI-MP2 #LI-REMOTE Basic Requirements * 8+ years ...

YO AI Labs

SolidWorks Expert - Remote

Los Angeles, CA · Remote

$40 - $130/hr

Translate engineering requirements into structured CAD data suitable for AI learning and validation ... CNC machining. * Casting and forging. * Assembly modeling. * CAD editing and feature tree ...

New

Magnite

Senior Engineer

Los Angeles, CA · On-site +1

$135K - $175K/yr

  • Medical

  • Life

  • Retirement

Remote At Magnite, we cultivate an environment of continuous growth and collaboration. Our work ... Through a combination of near-real-time data pipelines, machine learning techniques, and real-time ...

SpaceX

Software Engineer (Starship)

Hawthorne, CA · On-site +1

$145K - $175K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Experience with data analysis and machine learning libraries such as Pandas, NumPy, and PyTorch ... This position is based in Hawthorne, CA and requires being onsite - remote work not considered ...

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All JobsMachine Learning Postdoc JobsRemote Machine Learning Postdoc JobsRemote Machine Learning Postdoc Jobs in Los Angeles, CA

Remote Machine Learning Postdoc information

What are the key skills and qualifications needed to thrive as a remote machine learning postdoc?

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.

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.

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.
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Remote Machine Learning Postdoc jobs near you

Data Analyst - Product & Marketing (REMOTE)

The League

Los Angeles, CA • On-site, Remote

Full-time

Re-posted 14 days ago

Job description

Company Description

The League is a social dating app startup backed by IDG Ventures, xSeed Capital, Cowboy Ventures, Structure Capital, Sherpa Ventures, and many notable angels. The Founder is a Stanford MBA (ex-Google, ex-Salesforce) with a strong product sense (engineering degree from Carnegie Mellon) and a fierce determination to change the dating space for the better. The League is live in 150 cities, brings in healthy revenue each month, and leads the pack in it's innovative feature set that includes live video speed dating.

Job Description

The data analyst role is part of the analytics team, will report to the Head of Data Science. S/he will be responsible for performing deep-dive analysis to understand and optimize key levers of our product's marketing funnel: acquisition, activation, engagement, and retention. Additionally, s/he will be responsible for designing core metrics that serve as North Stars for team efforts and OKRs. A successful candidate in this role has the opportunity to contribute to creating a foundation of analytical excellence at the League and promoting a culture of data-driven decision making. The ideal candidate has excellent communication skills, a robust knowledge of SQL, and experience using programming languages such as python/R to automate their analyses and analytical work.

Responsibilities:

  • Directly own the creation of key company metrics used to track aggregate company OKR performance 

  • Conduct quarterly prioritized analysis projects targeted at revenue and user growth

  • Conduct ad-hoc analyses as defined by cross-functional partners and prioritized weekly

  • Manage and maintain dashboards in Periscope that relate operational performance across company departments and track key company metrics

  • Work with product managers and engineers to design data products and run A/B experiments

  • Work directly with product and business stakeholders to translate the questions and hypotheses into structured analysis.
  • Own data analysis and visualization, and communicate the outcomes/insights to various partners (marketing, data, product, eng) to aid strategic decisions for improvements in experience for our users and help create potential feature + experimentation candidates.

  • Apply statistics, modeling and machine learning techniques to improve efficiency and relevance of The League's matching algorithm 

  • Work towards creating a data-driven culture at The League

  • Understand what matters most and prioritize ruthlessly

Qualifications

  • Bachelors' in CS, Engineering, Physics, Math, Statistics, Business, Economics or related field

  • Fluency in SQL, as well as a deep understanding of statistical analysis, experiment design, and common pitfalls of data analysis

  • Expertise in at least one programming language useful for statistical analysis (e.g. python/R)

  • Strong communicator: You effectively synthesize, visualize, and communicate your ideas to others

  • You are a critical thinker: You are thoughtful, self-aware, and use available evidence to make decisions

  • You can lead initiatives across multiple product areas while communicating findings with leadership and product teams

Nice to haves:

  • Prior experience in Gaming or Dating industry

  • Knowledgeable about the machine learning trade-offs and model evaluation

Additional Information

All your information will be kept confidential according to EEO guidelines.

TO APPLY

  • Submit your resume to jobs [at] theleague.com with the job position title as the subject line

COMPENSATION

  • Competitive/above average for the industry 

Apply