Machine Learning Engineer

at BetterUp

Anywhere in the U.S. (Remote)

At BetterUp, we give people the coaching, support, and push they need to reach peak performance and unlock their limitless potential, in all they do, personally and professionally. We work with world-class experts and Coaches, pioneer innovative technology, and foster human touch at scale to fuel the BetterUp experience — making growth and development achievable for all. We believe that practicing strong mental fitness is a never-ending practice of maintaining and building the strengths that proceed health, happiness, and success.

And we’re looking to build out a diverse and ambitious team of go-getters to join us as we grow. Exciting opportunities lie ahead, as well as work that makes a real difference — not only in the lives of others, but for your own personal and professional growth, too. Join us as we continue to bring BetterUp to more people everywhere, and create impactful change for our members and for you.

We’re looking for an experienced Machine Learning Engineer and data scientist who cares deeply about their craft, and who wants to use their skills to bring about positive change in the world while working in a high-performing organization. At BetterUp, the opportunities to apply ML for Social Good are ever-expanding, ranging from developing personalization systems that meet someone where they're at and help them reach their full potential to understanding multimodal human-to-human communication and what makes effective coaching through state-of-the-art natural language processing, computer vision, and audio signal processing.

We're looking for someone who is comfortable in the rapidly changing nature of a startup environment but also adept at moving relentlessly forward: doing what needs to be done to unblock projects that truly deliver value to our users. At BetterUp we delight in supporting and pushing each other to bring out the best in our colleagues, and would love someone to join the team who shares our passions for empathy, excellence, and continuous improvement. We also deeply understand that a key to peak performance is balance, and our culture is focused on providing the support our people need to be able to bring their whole selves to bear in service of our mission. 

Responsibilities:

• Data product engineer: Build and deploy machine learning models into production designed for operational excellence and rapid iteration/optimization.
• Data storyteller: Effectively deliver analysis, insights, and recommendations to answer cross-functional business questions with clearly communicated artifacts using statistical analysis, ad-hoc reporting, etc.
• Applied behavioral scientist: Advance the understanding of behavior change and interventions by measuring quantitative and qualitative signals across a breadth of psychographic signals.
• Act as an owner: It’s not done until it’s in production.  Adept at moving projects forward and able to unblock projects regardless of the role on the project.
• Do less, deliver more: Familiar with the terms YAGNI and yak shaving?  Focus your efforts on high impact initiatives that really move the needle.
• Impress yourself: We hold ourselves to quality above and beyond something that “just gets it done”.  Each line of code is an opportunity to blend craftsmanship with playfulness.
• Collaborate without ego: Willing to take on roles small or large in order to further the mission at hand.
• Stay on your edge: Continuously learning and applying emerging technologies.  Pushing yourself and your team to new heights.
• Practice imagination: Hypothesize meaningful questions and dive into data to uncover insights.

If you have some or all of the following please apply:

• 5+ years of relevant industry experience, at least part of which in a startup environment
• Succeeded in a remote work environment
• Expertise with computation, data analysis, and machine learning libraries in Python like Pytorch, Tensorflow, NumPy, scikit-learn, etc.
• Experience with state-of-the-art machine learning architectures and models spanning Natural Language Processing (NLP), Deep learning, graph neural networks, etc.
• Experience with Transformer-based models for language and vision
• Effective analytical presentation skills using living Jupyter notebooks and static presentation formats
• Solid understanding of feature selection and hyperparameter tuning, prototyping and evaluating models, and optimizing classifiers for production
• You’re a data wrangler: processing, cleansing, enriching, augmenting, and verifying the integrity of data used for analysis
• Familiarity with continuous learning, active learning, weak supervision, self-supervision, one/few-shot learning, transfer learning, etc, a plus
• Experience with multimodal systems, RecSys, and personalization is also a plus
• Strong verbal and written communication
• Impressive portfolio (patents, publications, Kaggle profile, Github, Open Source contributions, etc.)

Benefits:

At BetterUp, we are committed to living out our mission every day and that starts with providing benefits that allow our employees to care for themselves, support their families, and give back to their community. 

• Access to BetterUp coaching; one for you and one for a friend or family member 
• A competitive compensation plan with opportunity for advancement
• Full coverage for medical, dental and vision insurance
• Employer Paid Life, AD&D, STD and LTD insurance
• Flexible paid time off
• Per year: 
• 13 paid holidays 
• 4 BetterUp Inner Work days (https://www.betterup.co/inner-work)
• 5 Volunteer Days to give back
• Learning and Development stipend
• Holiday charitable contribution of your choice on behalf of BetterUp
• 401(k) self contribution

BetterUp Inc. provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, disability, genetics, gender, sexual orientation, age, marital status, veteran status. In addition to federal law requirements, BetterUp Inc. 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, leaves of absence, compensation, and training.

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