Near | Passadena, CA / Remote | Machine Learning Engineer | Full-time
I'm hiring a Machine Learning Engineer to join the Data Science team at Near. This is a new, remote-friendly role that help the department to develop solutions that are more scalable at a faster pace. You won’t be just an implementer of solutions, but a full-fledged part of developing those solutions. Our Data Science team is a highly collaborative group that works closely with other Product, Engineering, and Analytics Teams to develop novel algorithmic approaches for contextualizing location data, evaluation of data from potential business partners, as well as managing data optimization from advertising data sources, and analysis of bidding data from mobile app monetization. We are the champions and guardians of Near’s data. Ours is often greenfield work - we work on the problems no one knows how to solve yet. You will be writing code for machine learning and big-data processing solutions being developed by our team as well as being a resource to help our Data Scientists write more scalable, more maintainable, more performant code themselves using better processes like code reviews. You’ll also be a translator of ‘Data Scientist’ speak to ‘Engineer’ speak and help bridge the gap between the two teams. The perfect candidate for this role will be skilled with Java, Python, or Scala.
Quora | Mountain View, CA | Software Engineer - Machine Learning | Full Time, ONSITE
We are looking for experienced Machine Learning engineers to join our growing engineering team. At Quora, we use Machine Learning in almost every part of the product - feed ranking, answer ranking, search, topic and user recommendations, spam detection etc. As a Machine Learning expert, you will have a unique opportunity to have high impact by advancing these systems, as well as uncovering new opportunities to apply Machine Learning to the Quora product. You will also play a key role in developing tools and abstractions that our other developers would build on top of.
ML, Python, C++, TensorFlow, Spark, Information Retrieval
We are looking for an experienced Machine Learning engineer to join our growing engineering team. At Quora, we use Machine Learning in almost every part of the product - feed ranking, answer ranking, search, topic and user recommendations, spam detection etc. As a Machine Learning expert, you will have a unique opportunity to have high impact by advancing these systems, as well as uncovering new opportunities to apply Machine Learning to the Quora product. You will also play a key role in developing tools and abstractions that our other developers would build on top of.
Please submit online at the link above and mention my HN user name. Or email "%sn@quora.com" % {my_HN_user_name}
Machine learning is a core part of the Natero platform, driving predictive alerts to customer success managers to help them focus on the right accounts at the right time.
As a machine learning engineer, your primary responsibilities would be the research, prototyping and productization of new machine learning models to tackle the challenges of behavioral prediction. This position is a mix of data science with system design and implementation, and a great fit for someone looking to not only work with data, but build the systems for processing and analyzing it.
KEYWORDS:
Java, Python, SQL, R, Machine Learning, Data Science, Statistics
REQUIREMENTS:
MS or PhD with 3+ years of experience in Machine Learning, Statistics, Applied Mathematics or related field
Strong understanding of theoretical and practical aspects of various machine learning techniques: classification, regression, clustering, etc.
Strong system design skills and experience with distributed systems.
Ability to conduct independent research and turn ideas into production code.
Familiarity with various statistical packages: R, scikit-learn etc.
Excellent programming skills in python, Java or C/C++
Proficiency in SQL.
Experience working with time-series dataset a plus.
Deeptech Jobs is on a mission to revolutionize the recruitment process within the deep technology sectors. We're building a platform that not only connects top-tier talent with groundbreaking companies but also fosters a thriving community around innovation in tech. We’re looking for a Machine Learning Engineer who is passionate about using their skills to make impactful tools accessible to technology professionals and companies alike.
What you'll do:
- Develop and refine machine learning algorithms to enhance job matching accuracy and user engagement.
- Collaborate with a cross-functional team to integrate AI features into our platform.
- Experiment with predictive models and deep learning to understand user behaviors and industry trends.
Ideal candidate:
- Proficiency in Python and experience with ML frameworks (TensorFlow, PyTorch).
- Strong background in mathematics and statistics.
- Experience in deploying machine learning models at scale.
- Passionate about AI’s potential in reshaping how we connect jobs and talent.
Why join us?
- Remote-first culture with flexible working hours.
- Competitive salary and equity options.
- Opportunity to be at the forefront of tech recruitment, impacting numerous industries and professionals.
Deeptech Jobs is on a mission to revolutionize the recruitment process within the deep technology sectors. We're building a platform that not only connects top-tier talent with groundbreaking companies but also fosters a thriving community around innovation in tech. We’re looking for a Machine Learning Engineer who is passionate about using their skills to make impactful tools accessible to technology professionals and companies alike.
What you'll do:
- Develop and refine machine learning algorithms to enhance job matching accuracy and user engagement.
- Collaborate with a cross-functional team to integrate AI features into our platform.
- Experiment with predictive models and deep learning to understand user behaviors and industry trends.
Ideal candidate:
- Proficiency in Python and experience with ML frameworks (TensorFlow, PyTorch).
- Strong background in mathematics and statistics.
- Experience in deploying machine learning models at scale.
- Passionate about AI’s potential in reshaping how we connect jobs and talent.
Why join us?
- Remote-first culture with flexible working hours.
- Competitive salary and equity options.
- Opportunity to be at the forefront of tech recruitment, impacting numerous industries and professionals.
ML, Python, C++, TensorFlow, Spark, Information Retrieval
We are looking for experienced Machine Learning engineers, ML infrastructure engineers and product infrastructure engineers to join our team. At Quora, we use Machine Learning in almost every part of the product - feed ranking, answer ranking, search, topic and user recommendations, spam detection etc. As a Machine Learning expert, you will have a unique opportunity to have high impact by advancing these systems, as well as uncovering new opportunities to apply Machine Learning to the Quora product. You will also play a key role in developing tools and abstractions that our other developers would build on top of.
Lambda Labs, located in downtown Palo Alto. We're hiring for a full-time position of Machine Learning Research Engineer. Math, EE, CS, Physics and Neuroscience PhDs / dropouts / candidates / postdocs and curious individuals interested in deep learning and machine learning are welcome to apply. If you love math and software engineering, you'll fit right in.
Required experience:
- B.S. Computer Science, Mathematics, Electrical Engineering, Physics, Neuroscience, or other quantitative field
- Extensive experience training neural networks with gradient descent
- Strong Math and CS fundamentals: Linear Algebra, Probability, Multivariate Calculus, Mathematical optimization
Ideal candidates will have:
- Excellent academic record
- Demonstrated ability to create and implement state-of-the-art research
Fomoro AI | Software Engineer / Data Scientist | Early Stage | San Francisco or REMOTE | Full Time | No Visa Sponsorship
Fomoro Consulting works on a wide range of ML problems from anomaly detection, financial modeling, reinforcement learning or image segmentation.
We're looking for a machine learning engineer familiar with the latest advances in ML, especially reinforcement learning and image segmentation. Must be familiar with TensorFlow and python and be able to read and implement research papers. Min 3 years of engineering experience.
Email resume and cover letter to danielle@fomoro.com
Lambda Labs | Machine Learning Engineer | Palo Alto, CA (University Ave.) | Onsite | Full Time
We're hiring for the full time position of Machine Learning Research Engineer. Math, EE, CS, Physics and Neuroscience PhDs / dropouts / candidates / postdocs and curious individuals with skills in deep learning and machine learning are welcome to apply. If you love math and software engineering, you'll fit right in.
Required experience:
- Extensive experience training neural networks with gradient descent
- Strong Math and CS fundamentals: Linear Algebra, Probability, Multivariate Calculus, Mathematical optimization
Ideal candidates will have:
- Excellent academic record
- Demonstrated ability to create and implement state-of-the-art research
ShareThis is a big data company that owns online behavioral data of over one billion users globally. We are developing an audience intelligence platform with cutting edge data science technologies. We are looking for innovative machine learning engineers to join our exciting projects.
You will drive the development of machine learning pipelines for model building and advertising segment generation. You will also help provide the vision of our team and serve as a mentor to less experienced engineers.
What You'll Need:
* MS or PhD in Computer Science or related field
* 8+ years of experience writing code in Scala or Java
* 2+ years of industry experience in machine learning
* Superior knowledge of Spark, MapReduce, HDFS, Cassandra, and Kafka
* Excellent knowledge of algorithms and data structures
Nice to Have:
* Previous experience in the advertising industry
* Excellent written and verbal communication skills
* Enthusiasm for working hard and having fun in a dynamic environment
You can contact me through afung@sharethis.com if you're interested.
Lambda Labs | Machine Learning Engineer | Palo Alto, CA (University Ave.) | Onsite | Full Time
We're hiring for the full time position of Machine Learning Research Engineer. Math, EE, CS, Physics and Neuroscience PhDs / dropouts / candidates / postdocs and curious individuals with skills in deep learning and machine learning are welcome to apply. If you love math and software engineering, you'll fit right in.
Required experience:
- Extensive experience training convolutional neural networks with gradient descent
- Strong Math and CS fundamentals: Linear Algebra, Probability, Multivariate Calculus, Mathematical optimization
Ideal candidates will have:
- Excellent academic record
- Demonstrated ability to create and implement state-of-the-
art research
Lambda Labs | Software Engineer (iOS / Computer Vision) | Palo Alto, CA (University Ave.) | Onsite | Full Time
We're hiring a Software Engineer with iOS and Computer Vision experience. Math, EE, CS, or Physics degree. If you love math and software engineering, you'll fit right in.
Required experience:
- Experience shipping multiple Objective-C apps that are
currently available in the app store.
- An aptitude for design, ability to innovate using all of the tools available for iOS
Ideal candidates will have:
- Multiple apps in the app store.
- A track record of making high quality mobile user experiences.
- Proficiency with basic computer vision and image processing operations.
To apply, please email your resume and github link to:
s[at]lambdal.com
At Diffbot we are developing an autonomous knowledge extraction system that is performing at better-than-human levels of precision in production within hundreds of companies. We're one of the few profitable AI startups that exist and our automatically synthesized knowledge graph generates 1B+ entities and 1T+ facts. We're putting together a top-tier team now with the goal of trying to build the first real production-grade general knowledge graph and resolving entities against our knowledge graph.
Must have minimum of 5 years industry work experience. Check out our career page for more information. Contact us directly at jobs@diffbot.com
Glimpse.ai | Senior Machine Learning Engineer | Maryland or Remote | Full-time | VISA Sponsorship Available | $150k - $300k + Benefits + Equity | https://www.glimpse.ai
Glimpse.ai is a profitable, stable, and growing artificial intelligence startup that is building an NLP product that automatically writes content about any subject with the same level of quality, factual accuracy, and usefulness as a human. This product already has thousands of monthly paying subscribers and our MRR has been growing by 8-10% month over month.
Our research is centered around making language modeling more accurate, fluent, and useful for users. We are able to write accurately about topics that are too recent for a model to have been trained on (such as writing about Elden Ring or Ukraine) and about topics that are extremely fact dense where current models would hallucinate and write inaccurately.
You would be at the intersection of research and production code - constantly ingesting research papers, building prototypes, and later turning those prototypes into production code.
Our ML work almost exclusively involves very heavy deep learning (transformers) and we primarily use PyTorch.
You will be working directly with our Founder/CEO (me!), who is leading the ML team, both as a manager and an individual contributor.
We would love to talk with anyone who has done research in text generation, information retrieval, or reinforcement learning for NLP tasks.
===
We are also hiring for non-technical (marketing) roles as well - see all of our open positions here: https://careers.glimpse.ai
Contact us by emailing alex@glimpse.ai with "HN" or applying on our career page listed above.
Sift Science, San Francisco, is Hiring Machine Learning Engineers
Full-time, Onsite. Sift Science uses real-time machine learning to fight online fraud. It's a problem that cost U.S. merchants > $12B last year with 70% being a result of organized crime. We are currently seeking ML engineers to join our team to work on our diverse and exponentially growing dataset to employ large-scale, online machine learning and model millions of unique features. Sift is a tight-knit team that likes board games, yummy food, and solving challenging technical problems. Check out https://siftscience.com/jobs or ping us at recruiting@siftscience.com for more information :)
We’re presently seeking people with these qualities to join Uber's Map Automation subteam, a team that uses our extensive imagery and trace data for mapping applications to build data pipelines that extract valuable bits of information from imagery and GPS data in order to optimize and augment maps. This will have a direct impact on both riders and drivers by helping them connect faster and more efficiently. We are looking for a seasoned software engineer who has a solid grasp of machine learning theory and statistical inference - someone who is able to whiteboard some theory while at the same time is able to roll up his/her sleeves and get coding. We expect the person to be able to read and understand research papers and be able to translate the ideas into efficient code. We also expect the person to be data oriented - i.e. be able to set up experiments to measure things that will in turn drive decisions.
Successful candidates should have:
Strong programming skills in either Java, C++, or Python
Experience with developing big-data processing pipelines over Hadoop or similar technologies.
Experience with developing systems for detection, recognition, classification, entity-matching, etc.
Experience with machine learning/statistical inferencing technologies such as random forests, deep nets., Bayesian nets, etc.
Experience in mapping, or computational geometry is a plus.
A Ph.D. in a quantitative field preferred but not required.
Quora | ML Engineer | Mountain View | ONSITE, www.quora.com/careers
Quora’s mission is to share and grow the world’s knowledge. We are an internet-scale Library of Alexandria, a place where people go to learn about anything and share everything they know. At Quora, we use Machine Learning in almost every part of the product - feed ranking, answer ranking, search, topic and user recommendations, spam detection etc. Within the past few months we released a large duplicate question dataset [1], built out Quora on Alexa and Google Home [2] and linked Quora Topics to Wikidata [3]. As a Machine Learning expert, you will have a unique opportunity to have high impact by advancing these systems, as well as uncovering new opportunities to apply Machine Learning to the Quora product. As a ML Infrastructure Expert, you will play a key role in developing tools and abstractions that our other developers would build on top of.
Tripadvisor's Machine Learning group is looking to hire data scientists / machine learning engineers at all levels: intern, entry level, and senior.
The Machine Learning group works on diverse set of problems including personalization, fraud detection, search / navigation, and content curation. We use advanced techniques in natural language understanding, statistical NLP, recommender systems, information retrieval, statistical inference, social network analysis, and machine vision.
I'm hiring a Machine Learning Engineer to join the Data Science team at Near. This is a new, remote-friendly role that help the department to develop solutions that are more scalable at a faster pace. You won’t be just an implementer of solutions, but a full-fledged part of developing those solutions. Our Data Science team is a highly collaborative group that works closely with other Product, Engineering, and Analytics Teams to develop novel algorithmic approaches for contextualizing location data, evaluation of data from potential business partners, as well as managing data optimization from advertising data sources, and analysis of bidding data from mobile app monetization. We are the champions and guardians of Near’s data. Ours is often greenfield work - we work on the problems no one knows how to solve yet. You will be writing code for machine learning and big-data processing solutions being developed by our team as well as being a resource to help our Data Scientists write more scalable, more maintainable, more performant code themselves using better processes like code reviews. You’ll also be a translator of ‘Data Scientist’ speak to ‘Engineer’ speak and help bridge the gap between the two teams. The perfect candidate for this role will be skilled with Java, Python, or Scala.
https://apply.workable.com/nearco/j/51E57DE565/
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