Remote Jobs at Reddit

Candidates should possess a Master’s degree in a quantitative field such as Statistics, Mathematics, Computer Science, or a related discipline, and have at least 7 years of experience in data science, with a minimum of 3 years in a leadership role. Strong experience in developing and deploying machine learning models is required, along with proficiency in programming languages like Python or R. Experience with large-scale datasets and distributed computing platforms is also preferred.

Candidates should possess experience in driving product strategy and roadmaps through analytics, ideally for consumer technology products and marketplaces, and have built, led, and developed high-performing product analytics teams with at least 3 years of leadership experience as a people manager, leading a team of 5+ data scientists. Teams should have expertise in causal inference, A/B testing experimentation, metric definition and governance, and product strategy, and the ability to lead initi…

Candidates must have a minimum of 2 years of management experience leading machine learning-focused teams, at least 6 years of experience working with machine learning models at scale, and a minimum of 4 years of hands-on experience with TensorFlow or PyTorch. Demonstrated expertise in the end-to-end machine learning lifecycle, including training, evaluation, and deployment of large-scale models, is required, as is experience with ads or engagement modeling, particularly with a focus on media in…

Candidates must possess a minimum of 2 years of management experience leading machine learning-focused teams, at least 6 years of experience working with machine learning models at scale, and a minimum of 4 years of hands-on experience with TensorFlow or PyTorch. Furthermore, they should demonstrate proven expertise in the end-to-end machine learning lifecycle, including training, evaluation, and deployment of large-scale models, with experience in ads or engagement modeling being a plus, partic…

Candidates should possess at least 2 years of experience supporting and growing ML engineering teams, ideally having scaled a team by over 100%, and a proven track record in building and shipping large-scale, end-to-end machine learning products.

Candidates should possess at least 5 years of experience in a relevant industry or academic background, preferably in a quantitative/modeling or highly scalable computing environment, and a proven track record of delivering complex machine learning projects from conception to deployment, ideally in real-world applications. They should also demonstrate strong communication skills for effective collaboration with cross-functional teams and stakeholders, as well as the ability to innovate and stay …

Candidates must possess at least two years of experience supporting and growing machine learning engineering teams, ideally having scaled a team by over 100%. They should have a proven track record in building and shipping large-scale, end-to-end machine learning solutions.

Candidates should possess a Bachelor’s degree in Computer Science or a related field, and have at least 7 years of experience in software engineering, with a strong focus on building scalable and reliable systems. Experience with large-scale data processing and experimentation platforms is highly desirable, and a solid understanding of statistical analysis and A/B testing methodologies is expected.

Candidates should possess a Bachelor’s degree in Computer Science or a related field, and have at least 8 years of experience in software engineering, with a strong focus on backend systems and distributed architectures. Demonstrated experience with cloud technologies, particularly Google Cloud Platform (GCP), is essential, along with proficiency in programming languages such as Python or Java. A deep understanding of data structures, algorithms, and database design is also required.

Candidates should possess a Bachelor’s degree in Computer Science or a related field, and have at least 7 years of professional software engineering experience, with a strong focus on building scalable and reliable systems. Demonstrated experience with A/B testing frameworks and statistical analysis is highly desirable.

Candidates should possess 1-3 years of experience in community management, moderation, or community building on online platforms such as Reddit, Discord, or Facebook Groups. Strong understanding of (country) culture, including current trends, interests, and nuances that shape community interactions is required, along with excellent communication skills and a curious, creative mindset. Fluency in English is essential, and Thai proficiency is preferred.

Candidates must hold a Ph.D., M.S., or Bachelor’s degree in Statistics, Machine Learning, Economics, Computer Science, or a related quantitative field; if possessing an M.S. or Bachelor’s degree, a minimum of six years of industry data science experience is required; if holding a Ph.D., a minimum of four years of industry data science experience is necessary. Expertise in SQL and relational databases, along with familiarity with statistical analysis and preferred programming languages such as R …

The Engineering Manager requires a Bachelor's degree in Computer Science or a related field, along with 7+ years of experience in software engineering, with at least 3 years in a leadership role. Strong experience with infrastructure, tech stack migrations, scalability investments, and compliance needs are essential, as is the ability to manage team resources and align projects with company goals.

Candidates should possess an Engineering Management role with experience in building and leading high-performing engineering teams. Strong technical background in software engineering and familiarity with data science principles are required, along with experience in designing and implementing scalable systems. Experience with experimentation platforms and A/B testing methodologies is highly desirable.

Candidates should possess at least 5 years of experience in a relevant industry or academic background, preferably in a quantitative/modeling or highly scalable computing environment, with a PhD requiring at least 2+ years of industry experience in a Machine Learning Engineer or engineering role. They must have experience deploying models in production settings and working with ML or experimentation infrastructure, along with a strong understanding of the advertising domain and causal inference,…