Machine Learning Engineer (Remote)
Workera.ai is the precision upskilling platform helping enterprises, governments and individuals upskill and reskill to meet the critical demand for key technological capabilities including data science, machine learning and artificial intelligence. The Workera platform provides AI-driven mentorship at scale with its adaptive assessments and personalized learning plans that drive measurable results to close the skills gap.
We are a Silicon Valley start-up backed by New Enterprise Associates (NEA), Owl Ventures and Andrew Ng’s AI Fund. Our founders are Kian Katanforoosh, an award-winning Stanford Computer Science Lecturer who has taught AI to over 1 million people, and James Lee, former VP of Global Operations at Udacity. Our Chairman is Dr. Andrew Ng, co-founder of Coursera (NYSE: COUR), CEO of DeepLearning.AI, and founding lead of the Google Brain project.
Workera’s vision is to help humanity measurably close the skills gap to achieve its fullest potential.
We are growing our Applied Science team we’re looking for an ambitious Senior Machine Learning Engineer who is hungry for a career-defining opportunity. This is an opportunity to truly build something and play a pivotal role in driving the company's future. Our ideal candidate wants to be a key player in this rapidly growing team, with turnkey skills to add value from day one. You’ll be trusted to passionately and autonomously build the technology required to take the company to the next level while having access to world class mentors.
🌎 PT | MT | CT | ET | GMT+1
Here's what you'll do:
- Identify opportunities for adding value to the business using AI and build proof of concept
- Design and develop data pipelines and machine learning models
- Manage full-cycle machine learning projects delivering robust, and maintainable product features
- Be a great mentor to others and help build the applied science team
- Report to the Head of Applied Science and partner closely with engineering leadership
⚡️ Challenges you’ll face:
- Growing pains - hyper-growth never happens flawlessly; we need a mature technical person who is comfortable with ambiguity, can adapt on the fly, and take initiative to troubleshoot and solve issues when they arise
- Technical and product vision - you’ll have all the tools, resources, and world class mentors to build great things, but there always be more to do than can be done. Both vision and passion is required to succeed.
- Leading the way - you’re the first senior MLE to be hired! This is a highly influential role and belongs to a pioneer that craves excitement and embraces challenges. As the company grows, so will the applied science team and your place in the company.
🤝 Your mentors and allies:
- You’ll be working closely with the Head of Applied Science and Engineering leads to understand, prioritize, and build high-priority features and products based on AI - the leadership talent you’ll be working with and learning from have a track record of building technologies and doing cutting edge research at the most innovative tech companies of our era. There's a reason why they left the doldrums of big tech and banded together to take on this challenge - it's the people, the technology, and the market opportunity. Big things are underway - and we're putting together a superstar Applied Science Team that will make the company’s ambitions of building the most innovative ed tech company a reality.
⚒️ Your set of tools:
- 3+ years of Machine Learning Engineer experience
- Experience working on a variety of technical tasks including building, analyzing, and testing machine learning models
- Good software development skills with experience building high quality production software
- Broad understanding of software systems and how machine learning models fit into them
- Experience deploying and maintaining machine learning models in production
- Discipline and passion for rigorous scientific work including proper documentation of experiments and initial analysis
- The ability to build engaging, productive relationships with engineering leads and working closely with them
- Expert ability to work with various ML related tools and technologies, such as Tensorflow, Keras, Pandas, DVC, JAX, Spark, Flink, Kafka, Airflow, Kubernetes, data lakes
- a passion for technology and connecting with tech professionals
💡 Characteristics you represent:
- Grit, perseverance
- Self-starter - ability to excel in a remote work setting
- Creativity
- Empathy
- Problem solver
- Powerful communicator
What you'll get by working with us:
- Unlimited PTO plus a week off between Christmas and New Year’s
- Collegial atmosphere
- Innovative environment
- Full support for home offices
- A culture of life-long learning supported up to $3,000 reimbursement for professional development
- Working across cultural and geographical lines alongside our offices in different parts of the world
- Being part of a world-class technical team that’s trying to make the world more meritocratic
- Being part of a great cause to improve lives everywhere through artificial intelligence
- Opportunity to own high-impact projects
What it's like to work at Workera:
- High-velocity career growth. You will be joining an all-star team of industry experts, world-class technologists from top tech companies, and proven startup operators that have built large, successful businesses. Workera is backed by top-tier venture capital firms and most importantly, we’re solving a massive problem for enterprises and individuals, so your opportunities for growth and impact are unlimited
- A company that is solving one of the most exciting interdisciplinary problems of our era. World-changing innovations often spur from interdisciplinary research and development. Workera is, at its heart, an interdisciplinary company. To create the world’s most reliable and valid skills signal powering talent development, we hire people with a broad set of technical skills who are ready to take on the most challenging problems at the intersection of psychometrics, artificial intelligence, and software engineering – from developing valid and reliable computer adaptive tests, to recommending personalized learning plans to employees and organizations, and enabling business leaders worldwide to make the best strategic decisions for upskilling and recruiting
- Diversity. We embrace diversity and invite applications from people of all walks of life. Our team-members, like our users, transcend geography, culture, and language; what we share, collectively, is a drive to create a skills-based, more meritocratic world, and a unique ability to execute.
- A remote-friendly work environment. No matter where you reside, you’re a part of Workera. We ensure that our globally distributed employees can participate fully in our company’s activities and do their best work every day.
- Lifelong learning. As talented as our team members are, we know that everyone is a constant work-in-progress and that the best is yet to come. We support each other in our curiosity and creativity – which we pursue through thoughtful discussion, mentorship, and knowledge-sharing among a diverse set of peers and colleagues. Did someone ever tell you that world-class mentorship doesn’t exist in startups? Please send them our way!
- A culture of transparency that we carry through to messaging communication, ensuring that team members have the information they need to make good decisions.
We’re learners, dreamers, and game-changers. Join us to bring everyone the opportunity to achieve their fullest potential!
At Workera we are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants without regard to race, color, religion, sex, pregnancy (including childbirth, lactation, and related medical conditions), national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information (including characteristics and testing), military and veteran status, and any other characteristic protected by applicable law. Workera believes that diversity and inclusion among our employees are critical to our success as a company, and we seek to recruit, develop and retain the most talented people from a diverse candidate pool. Selection for employment is decided on the basis of qualifications, merit, and business need.
Workera AI provides an AI-powered skills intelligence platform that helps enterprises measure and develop talent at scale. Our innovative skill assessments leverage generative AI and adaptive testing to deliver reliable insights, making it easier for organizations to adapt to the evolving demands of the workforce. Clients like Samsung and the U.S. Air Force rely on our technology to mobilize and optimize their talent strategies.
- Founded
- Founded 2019
- Employees
- 51-200 employees
- Industry
- Internet Software & Services
- Total raised
- $45M raised