About Turing:
Turing enables U.S. companies to hire the world’s best remote software engineers. 100+ companies including those backed by Sequoia, Andreessen, Google Ventures, Benchmark, Founders Fund, Kleiner, Lightspeed, and Bessemer have hired Turing engineers. For more than 180,000 engineers across 140 countries, we are the preferred platform for finding remote U.S. software engineering roles. We offer a wide range of full-time remote opportunities for full-stack, backend, frontend, DevOps, mobile, and AI/ML engineers.
We are growing fast (our revenue 15x’d in the past 12 months and is accelerating), and we have raised $14M in seed funding (https://tcrn.ch/3lNKbM9">one of the largest in Silicon Valley) from:
- Facebook’s 1st CTO and Quora’s Co-Founder (Adam D’Angelo)
- Executives from Google, Facebook, Square, Amazon, and Twitter
- Foundation Capital (investors in Uber, Netflix, Chegg, Lending Club, etc.)
- Cyan Banister
- Founder of Upwork (Beerud Sheth)
We also raised a much larger round of funding in October 2020 that we will be publicly announcing over the coming month.
Some articles about Turing:
- https://techcrunch.com/2020/08/25/turing-raises-14m-to-help-source-vet-place-and-manage-remote-developers-in-tech-jobs/">TechCrunch: Turing raises $14M seed to help source, vet, place, and manage remote developers
- https://www.theinformation.com/articles/six-startups-prospering-during-coronavirus">The Information: Six Startups Prospering During Coronavirus
- https://medium.com/@cyanbanister/turing-helps-the-world-level-up-ff44b4e6415d">Cyan Banister: Turing Helps the World Level Up
- https://turing.com/boundarylessblog/2019/10/the-future-of-work-is-remote/the-future-of-work/">Jonathan Siddharth (Turing CEO): The Future of Work is Remote.
Turing is led by successful repeat founders Jonathan Siddharth and Vijay Krishnan, whose last A.I. company leveraged elite remote talent and had a successful acquisition. (https://techcrunch.com/2017/02/23/revcontent-acquires-rover/">Techcrunch story). Turing’s leadership team is composed of ex-Engineering and Sales leadership from Facebook, Google, Uber, and Capgemini.
About the role:
Software developers from all over the world have taken 200,000+ tests and interviews on Turing. Turing has also recommended thousands of developers to its customers and got customer feedback in terms of customer interview pass/fail data and data from the success of the collaboration with a U.S customer. This generates a massive proprietary dataset with a rich feature set comprising resume and test/interview features and labels in the form of actual customer feedback. Continuing rapid growth in our business creates an ever-increasing data advantage for us.
We are looking for a Machine Learning Scientist who can help solve a whole range of exciting and valuable machine learning problems at Turing. Turing collects a lot of valuable heterogeneous signals about software developers including their resume, GitHub profile and associated code and a lot of fine-grained signals from Turing’s own screening tests and interviews (that span various areas including Computer Science fundamentals, project ownership and collaboration, communication skills, proactivity and tech stack skills), their history of successful collaboration with different companies on Turing, etc.
A machine learning scientist at Turing will help create deep developer profiles that are a good representation of a developer’s strengths and weaknesses as it relates to their probability of getting successfully matched to one of Turing’s partner companies and having a fruitful long-term collaboration. The ML scientist will build models that are able to rank developers for different jobs based on their probability of success at the job.
You will also help make Turing’s tests more efficient by assessing their ability to predict the probability of a successful match of a developer with at least one company. The prior probability of a registered developer getting matched with a customer is about 1%. We want our tests to adaptively reduce perplexity as steeply as possible and move this probability estimate rapidly toward either 0% or 100%; maximize expected information-gain per unit time in other words.
As an ML Scientist on the team, you will have a unique opportunity to make an impact by advancing ML models and systems, as well as uncovering new opportunities to apply machine learning concepts to Turing product(s).
This role will directly report to Turing’s founder and CTO, https://www.linkedin.com/in/vijay0/">Vijay Krishnan. This is his https://scholar.google.com/citations?user=uCRc7DgAAAAJ&hl=en">Google Scholar profile.
Responsibilities:
- Enhance our existing machine learning systems using your core coding skills and ML knowledge.
- Take end to end ownership of machine learning systems - from data pipelines, feature engineering, candidate extraction, model training, as well as integration into our production systems.
- Utilize state-of-the-art ML modeling techniques to predict user interactions and the direct impact on the company’s top-line metrics.
- Design features and builds large scale recommendation systems to improve targeting and engagement.
- Identify new opportunities to apply machine learning to different parts of our product(s) to drive value for our customers.
Minimum Requirements:
- BS, MS, or Ph.D. in Computer Science or a relevant technical field (AI/ML preferred).
- Extensive experience building scalable machine learning systems and data-driven products working with cross-functional teams
- Expertise in machine learning fundamentals, applicable to search - Learning to Rank, Deep Learning, Tree-Based Models, Recommendation Systems, Relevance and Data mining, understanding of NLP approaches like W2V or Bert.
- 2+ years of experience applying machine learning methods in settings like recommender systems, search, user modeling, graph representation learning, natural language processing.
- Strong understanding of neural network/deep learning, feature engineering, feature selection, optimization algorithms. Proven ability to dig deep into practical problems and choose the right ML method to solve them.
- Strong programming skills in Python and fluency in data manipulation (SQL, Spark, Pandas) and machine learning (scikit-learn, XGBoost, Keras/Tensorflow) tools.
- Good understanding of mathematical foundations of machine learning algorithms.
- Ability to be available for meetings and communication during Turing's "coordination hours" (Mon - Fri: 8 am to 12 pm PST).
Other Nice-to-have Requirements:
- First author publications in ICML, ICLR, NeurIPS, KDD, SIGIR, and related conferences/journals.
- Strong performance in Kaggle competitions.
- 5+ years of industry experience or a Ph.D. with 3+ years of industry experience in applied machine learning in similar problems e.g. ranking, recommendation, ads, etc.
- Strong communication skills.
- Experienced in leading large-scale multi-engineering projects.
- Flexible, and a positive team player with outstanding interpersonal skills.

Similar jobs (10)
Job Description:
Join us at Springer Capital, a corporate inclusion training company dedicated to promoting diversity and equity within the workplace.
As an Instructional Design Apprentice, you will provide support in creating a broad range of creative materials including documents, presentations, eLearnings, newsletters, flyers, videos, and other media to assist our training team.
Key Responsibilities:
Research and Analysis: Conduct research on best practices in workplace inclusion and equity. Analyze data to identify trends and insights that can inform our strategies.
Content Development: Assist in creating training materials, presentations, and reports. Contribute to the development of engaging and informative content for our clients.
Outreach and Engagement: Help identify potential clients and partners who align with our mission. Assist in outreach efforts to promote our services and build relationships with key stakeholders.
Event Assistance: Assist in planning and organizing events, workshops, and webinars focused on inclusion and equity. Help with logistics, participant engagement, and follow-up activities.
Qualifications:
Educational Background: Currently enrolled in or recently graduated from a degree program related to social sciences, human resources, business, or a related field and experience in graphic design, studio art, communication art, or web design
Communication Skills: Excellent written and verbal communication skills. Ability to create clear and engaging content.
Organizational Skills: Detail-oriented and highly organized. Ability to manage multiple tasks and deadlines effectively.
Technical Skills: Working knowledge of PowerPoint (and other Microsoft Office applications, including Word and Outlook) and preferred knowledge in Adobe Creative Cloud.
Compensation and Expectations:
This internship is remote and unpaid. Interns are expected to work 15-20 hours a week.
Job Title : Multi Stack Trainer
Skills: JavaScript, React.js, Angular, HTML5
Node.js (Express, NestJS)Python (Django
Strong Manager – Customer Success, Account management Profile
Mandatory (Experience 1) – Must have 6+ years of overall experience with atleast 4+ Years in Customer Success role
Mandatory (Experience 2) – Must have 1+ years of experience in AdTech industry
Mandatory (Experience 3) – Must have experience managing clients in the outside India market (Preferably US/America clients)
Mandatory (Experience 4) – Must have cross-functional experience working closely with Sales, Product, and Ad Operations teams for campaign execution, performance optimization, and client delivery.
Mandatory (Experience 5) – Must have strong technical understanding of digital advertising / programmatic platforms/software products
Mandatory (Company): B2B SaaS (AdTech experience is highly preferred)
Mandatory (Stability) : Candidate must have no frequent job hops and a minimum of 1+ year in the current organization.
Mandatory (Note1): Please ensure candidates have read about media.net and the industry before the screening call
Mandatory (Note2): Please ensure candidates have added numbers/metrics in resume
Context :
This is a waste management vertical SaaS with leading solutions and acceptance from the market on the path to growth. However, the product architecture needs a redefinition because of impending growth. The product needs refactoring of bottleneck code pieces, introduction of flexibility through modularity, scalability, layers of application and infrastructure layer security, interfaces designs, large amounts of data management and synchronization of business-critical accounting data. All of these goals have to be achieved while the product remains in production and business grows.
What the Role Needs:
Review current architecture and anticipate engineering bottlenecks
• Identify subsystems and isolate them
• Design interfaces between subsystems, evaluate available tools for each of the subsystems and make choices
• Make choices of tools, libraries, frameworks and design patterns
• Set benchmarks and KPI metrics
• Mentor & coach team leads to ensure architectural blueprints are practiced.
Requirements :
• Extensive experience with AWS cloud infrastructure - EC2, S3, Route53, ELB, Auto-Scaling groups, VPC, AWS Lambda, SNS/SQS, DynamoDB
• Database design & management for data-heavy product/s - NoSQL & SQL DBs (MongoDB, PostgreSQL, MySQL)
• Extensive API design & patterns experience including micro services
architecture/communication - REST, Webhooks, API gateways, and GraphQL
• Prior experience in designing a multi-tenant architecture would be beneficial
• Experience with caching architectures and technologies - Redis, Memcached, or KeyDB
• Experience with caching, sessions, OWASP, state management design patterns, micro front ends, and frameworks (ReactJs/VueJS)
• Experience with designing & architecture of event driven services - Kafka, RabbitMQ, NATS.io, socket.io
• Experience in Docker, Kubernetes, or Cloud Native applications
• Have experience in one of the workflow orchestrations tools - Apache Airflow, Cadence by Uber, AWS Glue
• Solr or Elastic search experience
• Understanding and working with other senior team members to devise and execute DRP, data storage and backup strategies, incident reporting
• Prior experience of software architecture in real-time tracking like Uber
• Prior experience in notifications delivery tools - FCM
• Understanding of ADR and UM
Exp 1 to 8 yrs. Ctc 4 to 20 lpa
A malware analyst examines malicious software, such as bots, worms, and trojans to understand the nature of their threat. This task usually involves reverse-engineering the compiled executable and examining how the program interacts with its environment. The analyst may be asked to document the specimen's attack capabilities, understand its propagation characteristics, and define signatures for detecting its presence. A malware analyst is sometimes called a reverse engineer.
Security product companies, in industries such as anti-virus or network intrusion prevention, may hire malware analysts to develop ways of blocking malicious code. Large organizations in non-security industries may also hire full-time malware analysts to help protect their environment from attacks, or to respond to incidents that involve malicious software. Malware analysis skills are also valued by companies that cannot justify hiring full-time people to perform this work, but who wish their security or IT administrators to be able to examine malicious software when the need arises.
· Are you yearning for a challenge and to explore uncharted territory?
· Do you wish to leave the herd pack to create something unique to transform a sector?
· Do you love interacting with people sometimes convincing them, sometimes driving them?
If you answered YES to all of the above and love handling responsibility on end-to-end basis, you are most likely to be the right fit for an opportunity which will transform individual giving in India by assisting NGOs to reach out and engage with their donors.
At DanaMojo, we have developed India’s first payment solutions platform especially for NGOs, providing an easy and convenient way for donors to give and for NGOs manage these donations. Over the last 3 years we have onboarded 900+ NGOs and are currently growing at 20% m-o-m in terms of donations.
As the Inside Sales Manager of NGO Relationships you will basically lead our team on acquisition of NGOs – from lead generation to conversion and assist the team in onboarding.
Remember we are a startup, so we are in “always-on” mode. You need to have a high degree of enthusiasm, energy and an ability and willingness to put in whatever it takes to get the job done. You will need a high degree of execution focus and take ideas from concept to planning to execution in the shortest possible time.
Ideally you should have experience in inside sales roles to businesses/SMEs and team management.
What are we looking for?
1. Strong communication – both oral & written in English. Speaking fluency in multiple languages is an added advantage.
2. Experience in inside sales I.e. selling over the phone to businesses/SMEs.
3. Strong hands-on experience in lead generation through digital mediums.
4. Excellent analytical capabilities (fantastic in Excel) and an ability to grasp things fast
5. An ability to think both innovatively and creatively
6. Ability to communicate effectively both internally and externally
7. Most importantly - an almost crazy willingness to learn!!!
Permanent WFH
JD for Below position-
Preferred Technical Expertise-
- Expertise in front end web application development
- Solid Understanding of Javascript, JQuery.
- Experience in HTML, CSS and Bootstrap library is required.
- Experience with Django Framework.
- Experience with source code versioning tools such as GIT, Bitbucket etc.
Secondary Skills/Good to have Skills:
- Experience in developing REST API is a plus.
- Experience in Python Programming is a plus.
- Experience in Pandas and Numpy Libraries is a plus.
- Experience with SQL is a plus.
- Experience with any cloud platform ( GCP is a plus )
Key Responsibilities:
- Owning the entire marketing framework, including developing nurture campaigns, email sequences, transactional emails, SMS Campaign On-Page marketing (such as banners, Pop-ups, and offer campaigns)
- Excellent in writing email SMS and on-page campaign copies.
- Good understanding of HTML for (Email campaign building)
- Working understanding of Marketing automation, customer communication journey.
- Worked on Landing page creation (drag and drop builder forms)
- Identifying campaign trends/insights and analyzing results to help make informed decisions and program enhancements overtime
- Prioritizing tasks and managing multiple stakeholders and strands of work with a willingness to take on additional projects as needed.
Required Skills:
- Bachelor’s degree/MBA with equivalent experience of 2-4 years in Digital Marketing domain.
- Edu-tech and E-Commerce experience will be preferred.
- Experienced in campaign creation, journey building, lead nurturing, landing page optimiser.
- Familiar with Hubspot, Webengage, Clevertap, moengage is a plus.
- Extensive understanding of the digital marketing industry, best practices, user behaviour, and buyer’s psychology.
- Understanding
- Understanding of Marketing Tools such as Email, SMS, Push etc.
- A dynamic candidate who can adopt new techniques quickly.
- Strong understanding of social media marketing techniques.
- Ability to analyze metric data and convey recommendations appropriately to supervisors.
- Self-motivated, detail oriented and able to prioritize daily work efficiently.
- Effective Analytical skills.
- Very Strong knowledge and programming skills on C,C++
- Should have knowledge and experience of developing ANSI C based applications
- Capability to implement core technical functionality as per functional requirements of the solution
- Strong knowledge of data structures, concurrency control, objected oriented design and development (OOA& OOD)
- Working experience with Linux
- Adherence to source control and versioning – SVN is a plus









