Emailage | Machine Learning Engineer | Chandler, AZ | Onsite
Company Info:
Emailage is growing at an outstanding rate and we have an immediate opportunity for a skilled and enthusiastic Machine Learning Engineer to join our team.
Emailage is a global hub of intelligence associated with email addresses, which empowers companies to determine whether a transaction is fraudulent or legitimate. This vast network is combined with machine learning algorithms to generate a Risk Score, based on rules that are easily tailored to existing risk engines. Emailage Risk Assessment empowers companies to effectively fight fraud, increase revenue and transaction approvals, while preventing unnecessary customer friction.
Position Intro:
Data science and machine learning are the foundation of our approach to identify both risky and positive behaviors. We see it as the process of creating knowledge from data. At Emailage, we see a lot of data, and that will be your playground to implement scalable machine learning models and enhance big data processing capabilities in collaboration with our data scientists. You will be developing and deploying our advanced algorithms on production and perform as a bridge between data science and software development teams.
Some skills we are looking for:
AWS (S3, EC2, EMR) | Python, R, SQL | Cassandra, DynamoDB, MongoDB | Knowledge of various Machine Learning frameworks
Emailage | Machine Learning Engineer | Chandler, AZ | Onsite
Company Info:
Emailage is growing at an outstanding rate and we have an immediate opportunity for a skilled and enthusiastic Machine Learning Engineer to join our team.
Emailage is a global hub of intelligence associated with email addresses, which empowers companies to determine whether a transaction is fraudulent or legitimate. This vast network is combined with machine learning algorithms to generate a Risk Score, based on rules that are easily tailored to existing risk engines. Emailage Risk Assessment empowers companies to effectively fight fraud, increase revenue and transaction approvals, while preventing unnecessary customer friction.
Position Intro:
Data science and machine learning are the foundation of our approach to identify both risky and positive behaviors. We see it as the process of creating knowledge from data. At Emailage, we see a lot of data, and that will be your playground to implement scalable machine learning models and enhance big data processing capabilities in collaboration with our data scientists. You will be developing and deploying our advanced algorithms on production and perform as a bridge between data science and software development teams.
Some skills we are looking for:
AWS (S3, EC2, EMR) | Python, R, SQL | Cassandra, DynamoDB, MongoDB | Knowledge of various Machine Learning frameworks
Pager | Machine Learning Engineer | New York | $100k+ and equity | pager.com |
We're looking to hire a Machine Learning Engineer to build and deploy Machine Learning models into the Pager's core services. You’ll be working in a fast-paced collaborative environment and contribute to our team's mission: Turn the complex world of healthcare into a simple and beautiful experience using Machine Learning.
Responsibilities:
- Define, prototype, develop, deploy, and maintain Machine Learning models: From Natural Language Understanding to Predictive Clustering.
- Participate as a member of an interdisciplinary team that includes engineers, data scientists, product team members and clinicians to identify and plan new features and solve problems
- Ensure high quality of code
- Mentor your peers and stay up to date in your knowledge
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 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}
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.
Our NYC office is looking to hire Machine Learning Engineers for various teams. Please email me at jtolani1@bloomberg.net with a copy of your resume and we can set up a time to chat about these teams in detail.
NWEA | Machine Learning Engineer | Portland, OR | Remote or Onsite | Full Time
NWEA is a mission-driven, not-for-profit organization dedicated to improving educational systems using assessments and evaluation. We are seeking a Machine Learning Engineer to help us develop technology and products that make assessments easier, more useful, and more scaleable. In particular, we are looking for someone with generative modeling experience and interest, ideally related to natural language processing and generation. Interest in probabilistic modeling (Stan/Jags/PyMC) is a plus, but not required.
The team is responsible for rapid prototyping and has large latitude for creating creative responses to problems. NWEA provides great benefits. Please reach out if you have questions -- thomas - dot - christie - at - NWEA - dot - org (no dashes).
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.
We strongly value personal growth, and want to help you grow into a great engineer (or great engineering leader). We also already have some machine learning expertise, so are happy to hire great engineers who are willing to learn.
Our mission is to help people find work that matters. We believe that the world is better when people understand the opportunities available to them. Our human-assisted AI platform delivers great results to our customers (customer quote: "I'd have a panic attack if you guys stopped existing").
Because of this, we raised $3.5M from OpenAI researchers and Lightspeed [2] at one of the highest ever valuations coming out of YC. Our team has previously sold companies, published machine learning research, has Dropbox's former Chief of Staff, and previously worked at Google, Airbnb, McKinsey, etc.
Qualifications:
- Are you empathetic, driven, and intellectually curious?
- Do you understand the value of shipping quickly and of software craftsmanship, and have the judgment to know when to apply each?
- Do you enjoy collaborating with other developers and helping them grow?
We strongly value personal growth, and want to help you grow into a great engineer (or great engineering leader). We also already have some machine learning expertise, so are happy to hire great engineers who are willing to learn.
Our mission is to help people find work that matters. We believe that the world is better when people understand the opportunities available to them. Our human-assisted AI platform delivers great results to our customers (customer quote: "I'd have a panic attack if you guys stopped existing").
Because of this, we raised $3.5M from OpenAI researchers and Lightspeed [2] at one of the highest ever valuations coming out of YC. Our team has previously sold companies, published machine learning research, has Dropbox's former Chief of Staff, and previously worked at Google, Airbnb, McKinsey, etc.
Qualifications:
- Are you empathetic, driven, and intellectually curious?
- Do you understand the value of shipping quickly and of software craftsmanship, and have the judgment to know when to apply each?
- Do you enjoy collaborating with other developers and helping them grow?
NOKIA - Sunnyvale, CA
Principal Engineer- Machine Learning and Predictive Analytics (Z Launcher)Candidate must be located in USA*
Responsibilities:
- As a part of our Z Launcher team, you will work with engineers, product managers, and designers to build the best predictive technologies to present what users want, when they need it
- Design, implement, and experiment with predictive statistical models and machine learning algorithms
-Make objective assessments on the quality of algorithms with data and communicate the results to stakeholders
-Take product requirements and translate them to actionable items for building and maintaining an algorithm development road-map
Qualifications:
-PhD in Computer Science, Machine Learning, or related field (or MS with equivalent experience)
-Minimum 3 years of research/engineering experience in the field of machine learning, data mining, or statistics
-Experience with algorithm design, prototyping, data-driven experimentation, and product implementations
-Fluency in one or more high-level languages, such as MATLAB, Python, R, and Julia
-Experience in object-oriented software engineering with languages, such as Java or C++
-Research background in machine learning, data mining, or statistics with publications in top conferences and journals is a big plus
-Solid implementation skills, and clear communication skills are necessary as you will be cooperating with cross functional teams of engineers
-Passion for making a big impact on a mobile product that changes people’s lives
To apply follow link: http://linkd.in/1wqx9oe
We already have significant machine learning expertise, so are happy to hire great engineers without prior ML experience who are willing to learn. We strongly value personal growth, and want to help you grow into a great engineer (or engineering leader).
Our mission is to help people find work that matters. We believe that the world is better when people understand the opportunities available to them. Our human-assisted AI platform delivers great results to our customers (customer quote: "I'd have a panic attack if you guys stopped existing").
Because of this, we raised $3.5M from OpenAI researchers and Lightspeed [2] at one of the highest ever valuations coming out of YC. Our team has previously sold companies, published machine learning research, has Dropbox's former Chief of Staff, and previously worked at Google, Airbnb, McKinsey, etc.
Qualifications:
- Are you empathetic, driven, and intellectually curious?
- Do you understand the value of shipping quickly and of software craftsmanship, and have the judgment to know when to apply each?
- Do you enjoy collaborating with other developers and helping them grow?
We already have significant machine learning expertise, so are happy to hire great engineers without prior ML experience who are willing to learn. We strongly value personal growth, and want to help you grow into a great engineer (or engineering leader).
Our mission is to help people find work that matters. We believe that the world is better when people understand the opportunities available to them. Our human-assisted AI platform delivers great results to our customers (customer quote: "I'd have a panic attack if you guys stopped existing").
Because of this, we raised $3.5M from OpenAI researchers and Lightspeed [2] at one of the highest ever valuations coming out of YC. Our team has previously sold companies, published machine learning research, has Dropbox's former Chief of Staff, and previously worked at Google, Airbnb, McKinsey, etc.
Qualifications:
- Are you empathetic, driven, and intellectually curious?
- Do you understand the value of shipping quickly and of software craftsmanship, and have the judgment to know when to apply each?
- Do you enjoy collaborating with other developers and helping them grow?
I run the Machine Learning team within Mixpanel Engineering. We are a small but impactful team within the company. We envision and then build ways to leverage ML technologies into product features that help our customers understand their data, and their users, better, and without any technical expertise on their end. Our first release was a product which predicts which of your users are likely or unlikely to convert, based on whatever you consider to be conversion.
This role is a fun and challenging mix of ML research (the problems we want to solve do not have known solutions, yet) with production engineering (we design, build, and maintain our own production services). This is an ideal role for somebody who is interested in both areas, and has expertise in at least one of them.
Please contact me directly at jenny@mixpanel.com with your resume if you are interested.
Cheers, Jenny Finkel
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Note: this role is based out of our headquarters in San Francisco
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.
Company Info:
Emailage is growing at an outstanding rate and we have an immediate opportunity for a skilled and enthusiastic Machine Learning Engineer to join our team.
Emailage is a global hub of intelligence associated with email addresses, which empowers companies to determine whether a transaction is fraudulent or legitimate. This vast network is combined with machine learning algorithms to generate a Risk Score, based on rules that are easily tailored to existing risk engines. Emailage Risk Assessment empowers companies to effectively fight fraud, increase revenue and transaction approvals, while preventing unnecessary customer friction.
Position Intro:
Data science and machine learning are the foundation of our approach to identify both risky and positive behaviors. We see it as the process of creating knowledge from data. At Emailage, we see a lot of data, and that will be your playground to implement scalable machine learning models and enhance big data processing capabilities in collaboration with our data scientists. You will be developing and deploying our advanced algorithms on production and perform as a bridge between data science and software development teams.
Some skills we are looking for: AWS (S3, EC2, EMR) | Python, R, SQL | Cassandra, DynamoDB, MongoDB | Knowledge of various Machine Learning frameworks
Full job description can be found here: https://www.linkedin.com/jobs/view/machine-learning-engineer...
We have other technical positions on the IT side:
Sr. QA Automation Engineer: https://blog.emailage.com/jobs/sr-qa-automation-engineer/
IT Infrastructure Engineer: https://blog.emailage.com/jobs/it-infrastructure-engineer/
If you have any questions/interested, feel free to send me an email @ garett.brock@emailage.com
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