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1Opportunity
2
3Pager is looking to hire a Machine Learning Engineer to build and deploy Machine Learning models into the company'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.
4
5Responsibilities
6Define, prototype, develop, deploy, and maintain Machine Learning models: From Natural Language Understanding to Predictive Clustering.
7Participate 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
8Ensure high quality of code
9Mentor your peers and stay up to date in your knowledge
10
11You'll be a good fit if
12You know data science:
13Have a strong hands-on knowledge of machine learning algorithms, both deep and shallow
14Are comfortable using machine learning stacks and can make good decisions about which to use to solve a particular problem
15Hands-on experience with machine learning tools and libraries including (not limited to) Numpy, Scipy, Scikit-learn, SpaCy
16Are familiar with data cleaning, sanitization and adequate handling of sensitive information
17You know computer science and engineering:
18Have a strong CS background to choose the right algorithms, systems approaches and patterns to solve problems: you won't reinvent the wheel
19Have a proven track record designing and implementing data driven products
20Write production quality code and tests
21Build APIs that expose ML models
22You can hit the ground running:
23M.Sc. or Ph.D. in computer science, engineering, statistics, computational linguistics, or other quantitative field, or equivalent professional experience
242+ years of experience in a production data science environment
25Experience working with AWS and Docker
26You have a sense of ownership:
27Take responsibility for your projects and pride in your work
28You come up with novel solutions to a diverse set of problems:
29Ask hard questions and challenge assumptions to ensure that we're solving the right problems
30Have flexibility to work on the team's most pressing problems
31
32Nice to haves
33Experience dealing with health system partners data (e.g. EHRs, HIEs, ADT feeds, claims/pre-auth feeds, …)
34Experience with storage models coming from the SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Elasticsearch, Redis, Graph based storage)
35RabbitMQ and NodeJS experience
36Understanding and exposure to some ML topics: pattern detection; entity recognition; semantic role labeling; and clustering and classification models, neural networks
37Experience using Docker containers and configuration management systems
38Experience in Tensorflow, Keras
39
40
41About Pager
42
43Pager is re-inventing the traditional patient experience. A leader in the healthcare industry with its innovative tech solutions to help patients access care, Pager is a multi-faceted care navigation platform. Patients can access a wide range of services from connecting with providers directly through the app and getting answers to general health care questions (from the comfort of their home) to scheduling in-home visits. Pager has partnered with top-tier health plans, health systems and provider networks across the U.S.
44
45Founded by an experienced team of serial entrepreneurs from successful startups (Uber, Teladoc, Gilt, One Medical Group, Buzzfeed), we are passionate about improving access to high quality and personal health care.
46
47From long days of perfecting a great product to long nights of happy hours and group dinners, we are looking for someone smart, energetic, and fun to join our tight-knit and growing team.
48
49A passion for health care is not necessary to apply; however, a passion for improving the lives of people and living a better life through technology is a must.
50
51At Pager, we value diversity and always treat all employees and job applicants based on merit, qualifications, competence, and talent. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
52Seniority Level
53Entry level
54
55Industry
56Computer Software Internet Hospital & Health Care
57Employment Type
58Full-time
59
60Job Functions
61Engineering Information Technology
62
63
64The front page of the internet," Reddit brings over 330 million people together each month through their common interests, inviting them to share, vote, comment, and create across thousands of communities. Come for the cats, stay for the empathy.
65
66Monetization is often the most data-heavy, latency sensitive and technically demanding part of any online business. We’ve expanded our ads engineering team to New York to work on focus on problems around prediction and yield optimization.
67
68We are looking for machine learning engineers to build and improve Reddit’s ad serving pipelines and predictive models. This team will focus on modeling to serve relevant ads to users utilizing Reddit’s rich dataset.
69
70If you appreciate real technical challenges and you'd like to be part of the team that turns Reddit into a sustainable, long-term business, come join us!
71
72Responsibilities
73Build and maintain Reddit's machine learning and feature engineering pipelines for ad serving.
74Understand Reddit user behavior and ad quality to optimize ad performance and user experience.
75Use the scientific method to improve our models, relying on quantitative analysis and experimentation to ensure we’re moving in the right direction.
76
77
78Qualifications
79Significant experience developing production models / pipelines.
80Software development experience in one or more general purpose programming languages (e.g. Go, Python, Java, C++, etc.).
81Familiar with large-scale data pipelines and ML / AI techniques. Spark / MLib / Tensorflow experience a plus.
82Entrepreneurial and self-directed, innovative, biased towards action in fast-paced environments.
83Able to take complete ownership of a feature or project.
84Able to communicate and discuss complex topics with technical and non-technical audiences.
85Industry
86Marketing & Advertising Computer Software Internet
87Employment Type
88Full-time
89
90Job Functions
91Engineering Information Technology
92
93Who We Are
94
95HBC is a diversified global retailer, focused on driving the performance of high quality stores and their all-channel offerings, growing through acquisitions, and unlocking the value of real estate holdings.
96
97Founded in 1670, HBC is the oldest company in North America. Our portfolio today includes formats ranging from luxury to premium department stores to off price fashion shopping destinations, with more than 480 stores and over 66,000 employees around the world.
98
99Our leading banners across North America and Europe include Hudson�s Bay, Lord & Taylor, Saks Fifth Avenue, Gilt, Saks OFF 5TH, Galeria Kaufhof, the largest department store group in Germany, and Belgium�s only department store group Galeria INNO.
100
101We have significant investments in real estate joint ventures. HBC has partnered with Simon Property Group Inc. in the HBC Global Properties Joint Venture, which owns properties in the United States and Germany. In Canada, HBC has partnered with RioCan Real Estate Investment Trust in the RioCan-HBC Joint Venture.
102
103A truly global corporate citizen, HBC is committed to responsible business practices to bring about positive change, and we work hard to shape a sustainable future for people and the planet. Our philanthropic initiatives are dedicated to improving lives by enhancing physical and mental health through education, access, research, and empowerment, and we strive to create innovative programs and resources that provide flexibility for work-life balance to ensure HBC remains a great place to work.
104
105What This Position Is All About
106
107Be a member of the founding ML team at HBC, ready to tackle a variety of business problems from customer service and personalization to inventory optimization. Create ML solutions to these spanning the entire organization using various supervised and unsupervised methods. Help HBC�s data team to create a data culture, pioneer embracement of new concepts, and develop a team that has learning at its core.
108
109As The Machine Learning Engineer, You Will
110Apply algorithms to our business to improve customer experience, create operational efficiency and enable our workforce. Make recommendations as to best algorithms to use for different use cases
111Test validate, and deploy algorithms into production ready status. Ensure models maintain explain-ability to make decisions and choices around predictions and impact on the business
112Collect the right data for predictive modeling and algorithm development.
113Work closely with business intelligence and data engineering to deliver on projects.
114
115You Also Have
116
117
118Bachelor�s degree in quantitative field
1191-3+ years of data science experience
1201-3+ years of working in SQL or other programming languages
121Expert programming capability in Python
122Experience in building and deploying Machine Learning systems
123Experience with data cleaning and preparation.
124
125Your Life And Career At HBC
126Be part of a world-class team; work with an adventurous spirit; think and act like an owner- operator!
127Gain exposure to rewarding career advancement opportunities, from retail to supply chain, to digital or corporate.
128Join a culture that promotes a healthy, fulfilling work/life balance
129Receive a benefits package available for all eligible full-time employees
130Enjoy an amazing employee discount
131
132Thank you for your interest with HBC. We look forward to reviewing your application.
133
134HBC provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, HBC complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leave, compensation and training.
135
136HBC welcomes all applicants for this position. Should you be individually selected to participate in an assessment or selection process, accommodations are available upon request in relation to the materials or processes to be used.
137Seniority Level
138Entry level
139
140Industry
141Marketing & Advertising Apparel & Fashion Retail
142Employment Type
143Full-time
144
145Job Functions
146Engineering Information Technology
147
148Company Description
149
150We believe everyone should be able to participate and thrive in the economy. So we’re building tools that make commerce easier and more accessible to all. We started with a little white credit card reader but haven’t stopped there. Our new reader helps our sellers accept chip cards and NFC payments, and our Cash app lets people pay each other back instantly. We’re empowering the independent electrician to send invoices, setting up the favorite food truck with a delivery option, helping the ice cream shop pay its employees, and giving the burgeoning coffee chain capital for a second, third, and fourth location. Let’s shorten the distance between having an idea and making a living from it. We’re here to help sellers of all sizes start, run, and grow their business—and helping them grow their business is good business for everyone.
151
152Job Description
153
154The Knowledge Platform team is seeking senior machine learning engineers to join our engineering team. Square is seeking senior machine learning engineers to build a company-wide state-of-the-art knowledge platform. Our goal is to provide tooling, infrastructure, and guidance to unify and level up the 50-100 engineers and data scientists working on ML at Square and work on advanced ML solutions that are applicable across the company. The ideal candidate will have industry experience in solving and optimizing large-scale machine learning problems. We are looking for passionate and self-driven innovators to help us build this V1 platform from the ground up and be part of a fast-paced team. You will be expected to contribute in building ML systems/tooling and building advanced ML models that scale. You will have a wide impact across the company with opportunity to publish papers, contribute to open-source, influence and collaborate with the data science community across Square.
155
156You Have
157
158Qualifications
159Experience in many of the following areas is highly desired - AutoML, Knowledge Graphs, recommendation systems, NLP and AI Agents.
160Experience with cloud computing platforms, such as AWS, Google Cloud or Azure.
161Experience in designing and productionizing large-scale distributed systems built around machine learned models and big data.
162Experience or familiarity with interpretable machine learning is a plus.
163Ability to produce scalable and robust production-quality code incorporating testing, evaluation, and monitoring.
164An advanced degree (PhD or MS) in Computer Science
165
166Technologies We Use
167Java, Python, Google Cloud Platform, AWS, Snowflake
168Python ML stack (pandas, scikit-learn, etc.)
169
170Additional Information
171
172At Square, we value diversity and always treat all employees and job applicants based on merit, qualifications, competence, and talent. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us by sending an email to assistance(at)squareup.com. We will treat your request as confidentially as possible. In your email, please include your name and preferred method of contact, and we will respond as soon as possible.
173
174Requirements
175
176Job Requirements:
177Strong background in parallel programming and image processing algorithm design;
178Strong background in Computer Vision, Machine Learning and data mining;
179Solid experience in C#, C/C++ programming;
180Experience in feature extraction/ selection, classifier design is essential;
181Knowledge in computer architecture or familiar with semiconductor equipment development is a plus.
1820GaoMEpbyE
183Seniority Level
184Entry level
185
186Industry
187Information Technology & Services Computer Software Financial Services
188Employment Type
189Full-time
190
191Job Functions
192Engineering Information Technology
193
194Are you an engineer who’s interested in tackling very challenging adversarial problems and passionate about defending online users against abuse, spam, and manipulation? Do you love working on challenging problems that require a multi-disciplinary approach, creative solutions, and rapid product iterations? Will you be proud to work on a real-time, scalable system that serves millions of users daily? If so, you should join us.
195
196Who We Are
197
198The Health ML engineering team is responsible for building scalable detection systems that keep spam, manipulation, and abuse at bay. We use ML and relevance techniques to make Twitter safer and to limit the spread of misinformation on the platform. Our team works across the product to detect abusive and spammy users and content, increase action on bad actors, drive changes in user behavior, and detect and remediate accounts that are violating the terms of service on Twitter.
199
200We develop, maintain, and contribute to several machine learning models and systems, including:
201Models that detect unwanted interactions
202Models to prioritize human review of accounts violating Twitter's policies to more quickly take action and limit their damage
203Detection of bots that misuse the platform or spread misinformation
204Detection of repeat abusive offenders who create new accounts after being suspended
205Real-time rule engines and clustering systems to identify and action on clusters of bad actors at scale
206
207What You’ll Do
208
209Although you will work on cutting-edge problems, this position is not a pure research position. You will participate in the engineering life-cycle at Twitter, including designing distributed systems, writing production code and data pipelines, conducting code reviews and working alongside our infrastructure and reliability teams. You’ll apply data science, machine learning, and/or graph analysis techniques to a variety of modeling and relevance problems involving users, their social graph, their tweets, and their behavior.
210
211Who You Are
212
213You’re a relevance engineer, applied data scientist, or machine-learning engineer who wants to work on exciting algorithmic and deep infrastructure issues to improve the health of the public conversation on Twitter. You’re experienced at solving large scale relevance problems and comfortable doing incremental quality work while building brand new systems to enable future improvements.
214You are knowledgeable in one or more of the following: machine learning (including deep learning), information retrieval, recommendation systems, social network analysis.
215You are a strong technical advocate with a background in Java, C++, or Scala, and Python.
216You strive to find the right balance between moving fast to deliver quality improvements to users and accumulating technical debt that drags down productivity.
217You have a collaborative working style with a strong focus on disciplined execution and results.
218You like to ground decisions in data and reasoning and solve root causes of problems rather than surface issues.
219You are adept at communicating relevant information clearly and concisely.
220You look ahead to identify opportunities and thrive in a culture of innovation.
221
222Here’s All The Legal Good Stuff
223
224We are committed to an inclusive and diverse Twitter. Twitter is an equal opportunity employer. We do not discriminate based on race, ethnicity, color, ancestry, national origin, religion, sex, sexual orientation, gender identity, age, disability, veteran, genetic information, marital status or any other legally protected status.
225
226San Francisco applicants: Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
227
228By applying for this role, you could choose to work in the following locations:
229US - Remote US
230New York City
231Industry
232Internet
233Employment Type
234Full-time
235
236Job Functions
237Engineering
238
239Who We Are
240
241Ocrolus is a growth stage company whose core competency is a proprietary set of workflows that use attended (or human-in-the-loop) machine learning and crowdsourcing for deep financial review (i.e. fraud, risk scoring, cash flow), data digitization, and automated decisioning of semi & unstructured documents. Because of our speed and accuracy, we are an industry standard in the FinTech lending space. Ocrolus can analyze and verify data across bank statements, paystubs, tax documents, and other financial records with over 99% accuracy and in minutes rather than days or weeks. Ocrolus has raised over $30 million from firms like Oak HC/FT, FinTech Collective, Bullpen Capital, and QED Investors, among others
242
243Ocrolus has a diverse body of visual and language based tasks that could benefit from the application of modern machine learning methods. To this end, Ocrolus is looking to hire a Machine Learning Engineer to help identify where application of AI would make the most impact, and to deliver solutions in the identified areas.
244
245Responsibilities
246Work with Product and Operations to understand the business, and the different problem spaces at play.
247Identify areas where ML could achieve disproportionate lift.
248Coordinate with Operations to describe data collection needs, and prescribe collection methodology.
249Design solutions that employ modern ML techniques for the purpose of performing image classification, image localization/ segmentation, natural language processing, and more.
250Deliver solutions that are highly performant and lead to a higher degree of automation across the Company.
251
252Requirements
253BA./S. CompSci or CompEng or comparable Engineering degree.
2543 years of applied machine learning experience.
255Fluency in Python.
256Expertise in at least one modern ML framework such as Keras, TensorFlow, or PyTorch.
257Why Ocrolus?
258We’re a seasoned team of engineers and operators, that understand the value of clean high quality data gathering. You will never feel alone in the trenches during the course of your work.
259We have a very mature data gathering operation already in place. Disseminating training materials and collection methodology is painless.
260There is a high degree of variety in the problems that are available to tackle.
261Our size and culture means a high degree of personal autonomy inherent in the day to day.
262Flexibility. We’re not married to an approach, framework, or provider. We’re willing to change when provided with compelling data.
263
264We’re a young and rapidly growing FinTech company - if you have ever wanted to jump on a rocket ship as it’s taking off, now is your chance!
265Seniority Level
266Entry level
267
268Industry
269Information Technology & Services Computer Software Financial Services
270Employment Type
271Full-time
272
273Job Functions
274Engineering Information Technology
275
276
277
278Who are we?
279
280Ribbon is a first of its kind real estate technology company transforming the real estate transaction by delivering certainty, transparency and joy to the home buying process. Consumers and realtors deserve a better experience, and we have designed an open platform that welcomes everyone in the ecosystem to participate.
281
282As members of the Ribbon team, we live out our mission every day through our core values:
283Be an invited guest to dinner - Everything we do is in the service of the customer.
284Be a (home) owner - If we see a problem, we address it head on without assuming someone else will do it.
285Break new ground - We challenge conventional wisdom to create clever solutions and break down the walls.
286Foster greatness - We grow and inspire the team around us to constantly make Ribbon better.
287Engage with intellectual humility - We become our best selves through rigorous debate and adjusting opinions based on new information.
288
289
290How You'll Help Make Homeownership Achievable
291Build production grade models on large-scale datasets by utilizing advanced statistical modeling, machine learning, or data mining techniques
292Leverage models to address key challenges such as improving home valuation accuracy, matching homebuyers with homes, and risk modeling.
293Work closely with product engineering to generate datasets based off of Ribbon product activity and propose new product features to collect unique data to help make the homebuying experience more magical for our customers.
294Conceptualize, design and build data-fueled insights to help improve analytics for prospects and customers
295
296
297What We're Looking For
298Communication - Strong written and verbal communication skills.
299Excellent judgment - We're an early stage start up and need to move fast, but home transactions are high stakes and we need to be compliant. We need you to understand when to move faster and when to take the time to get it right.
300Craftsmanship - You care about writing good code and building great software. You understand the trade-offs when we have to move faster, but you know what perfect means and how to get there when we need to.
301Ownership mentality - Every engineer & product at Ribbon will rely on the APIs and services you'll build. You're excited about working with engineering stakeholders to build robust and reliable services.
302
303
304You Have
305Knowledge of and experience using one or more of machine learning frameworks such as Tensorflow, Keras, sklearn, pytorch to build production-ready models
306Experience building and optimizing data pipelines, architectures and data sets is a plus
307Knowledge of and experience using data tools such as Spark and Airflow for bonus points
308Ability to design and implement novel analytical approaches in response to open-ended problems
309Experience in driving real world product or feature decisions based on your analysis
310
311Interested? Read more about our engineering culture here!
312
313Even if you don't meet all the requirements, we encourage you to apply! If you'd be excited to show up for work each day, we'd be excited to have you on our team.
314
315Here at Ribbon we're not scared of differences. It's how we break new ground. As we scale and we help families from every walk of life, the team we build must be reflective of the diversity that we serve. Together, we've built and will continue to grow, a diverse and inclusive culture where everyone has a seat at the table and the space to be their most authentic self. Ribbon is an Equal Opportunity Employer and we support, celebrate, and cherish all the things that make our teammates who they are.
316Seniority Level
317Entry level
318
319Industry
320Internet Financial Services Real Estate
321Employment Type
322Full-time
323
324Job Functions
325Engineering Information Technology
326
327
328We are seeking a highly-experienced ML Engineer to join our team building advanced Business Intelligence, Machine Learning, and Data Processing applications.
329
330Your Impact
331
332As a Backend Engineer, you will develop advanced tools that allow our customers to build highly-sophisticated Business Intelligence applications for their stakeholders. You will work as a member of an engineering “feature team,” responsible for delivering value to our customers. In this role, you will design, implement, and deliver enterprise-grade machine learning applications for both internal- and external-facing consumers. You will be part of a dynamic team of engineers who are developing cutting edge technology that fuels the premier BI platform in the industry. Your work will be deployed to production and used by dozens of major corporations such as FedEx, US Bank, and Mastercard to help drive their business goals and service their customers.
333
334While mostly focusing in ML models productizing and data processing you will be expected to contribute to the model development. You believe that good design is the key to good coding -- “measure twice, cut once.” You write excellent-quality code (if you do say so yourself), and understand how to best practices of SW architecture, development and testing.
335
336Responsibilities
337Collaborate with the product owner, technical lead, product designer, and other stakeholders to design, prototype and develop enterprise-class data intensive applications.
338Maintain existing code and make improvements to increase maintainability, performance, and scalability.
339Support software rollouts to production.
340Constantly improve code quality and test coverage.
341Understand full-stack dependencies to minimize regressions and attain improved designs.
342Guide and mentor junior engineers. Serve as team lead if appropriate.
343
344
345Qualifications
346BS/MS degree in Computer Science, Computer Engineering, or a related subject.
3475+ years of demonstrated experience in Python.
348In-depth knowledge of Python data processing and machine learning libraries.
349Experience with and understanding of the Python ML frameworks such as TensorFlow and PyTorch
350Experience with API design & development
351Understanding of the data layer integration (both SQL and no-SQL)
352Experience with cloud deployments is a plus
353Understanding AWS / Azure / GCP data ETL capabilities is a plus
354Experience with C/C++, Java and/or Scala plus.
355Passion for writing well structured, testable code with a focus on readability and maintainability.
356Experience with open source CI tools is a plus.
357Data modeling experience is a plus.
358Excellent communication skills.
359
360Information Builders helps organizations transform data into business value. Our software solutions for business intelligence and analytics, integration, and data integrity empower people to make smarter decisions, strengthen customer relationships, and drive growth. Our dedication to customer success is unmatched in the industry. That’s why thousands of leading organizations rely on Information Builders to be their trusted partner. Founded in 1975, Information Builders is headquartered in New York City, with offices around the world, and remains one of the largest independent, privately held companies in the industry.
361
362Information Builders, Inc. is an Equal Opportunity Employer: All qualified applicants will receive consideration for employment and will not be discriminated against based on their race, gender, disability, veteran status, or other protected classification.
363
364Seniority Level
365Entry level
366
367Industry
368Computer Software Information Technology & Services
369Employment Type
370Full-time
371
372Job Functions
373Engineering Information Technology
374
375Our client Seres D client based in New York is looking for a Machine Learning engineer with practical experience writing production-quality code to join our growing team, working to address the challenge of understanding how differing messaging-based interactions between therapists and patients lead to differing behavioural health outcomes.
376
377You will join a team of data scientists responsible for analyzing all aspects of Talkspace’s data to understand customer engagement, therapist quality of service, and clinical outcomes and develop data-driven product features that aim to continually improve behavioural health outcomes.
378
379Who You Are
380You are comfortable working in a fast-paced startup environment.
381You are passionate about data and can communicate effectively with both data scientists, product managers, other engineers, and clinicians to discuss requirements, design, and expectations.
382You are excited about learning new tools/approaches that aren’t already a part of your toolkit.
383You can work independently and manage a list of priorities.
384
385Skills
386Master’s degree, preferably in Computer Science, Data Science or an Engineering-related discipline
3872+ years of work experience developing and deploying production-quality code
388Fluent in Python scripting, strong working knowledge of SQL
389Foundational knowledge of commonly used machine learning techniques, such as cluster analysis, classification methods, and linear and nonlinear regression modelling
390Experience developing applications using Natural Language Processing techniques.
391Excellent communication and interpersonal skills
392Experience working with cross-functional teams in a dynamic environment
393
394Benefits
395
396Monthly team outings, happy hours, in-house family-style lunches, office snacks, unlimited PTO, access to products, ping pong table, and competitive benefits are just some of the benefits on offer
397Seniority Level
398Entry level
399
400Industry
401Information Technology & Services Computer Software Internet
402Employment Type
403Full-time
404
405Job Functions
406Engineering Information Technology