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anthropic.com Anthropic
1 matching job
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our customers and for society as a whole.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

link-out anthropic.com
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Solutions Architect
Product Research & Engineering
hybrid: San Francisco, CA
Salary range $250,000 - $375,000
added Sat Oct 14, 2023
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As a member of the Solutions Architects team at Anthropic, you will be drive the adoption of frontier AI by developing bespoke LLM solutions for top enterprises, You’ll leverage your consultative sales experience and technical skills to architect innovative solutions that address our customers' business needs, meet their technical requirements, and provide a high degree of reliability and safety.
In collaboration with the Sales, Product, and Engineering teams, you’ll help enterprise partners incorporate leading-edge AI systems into their robust end-to-end systems. You will employ your excellent communication skills to explain and demonstrate complex solutions persuasively to technical and non-technical audiences alike. You will play a critical role in identifying opportunities to innovate and differentiate our AI systems, while maintaining our best-in-class safety standards.
About Anthropic
Anthropic is an AI safety and research company that’s working to build reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our customers and for society as a whole. Our interdisciplinary team has experience across ML, physics, policy, business and product.

Responsibilities:

  • Act as the primary technical advisor for prospective customers evaluating Claude. Demonstrate how Claude can address the customer's use cases through proofs of concept. Provide technical guidance on integration, deployment, and adoption best practices.
  • Partner closely with account executives to understand customer requirements. Configure Claude's capabilities to showcase how it meets the customer's needs. Develop customized pilots and prototypes, as well as evaluation suites to make the case for customer adoption
  • Drive technical decision making by advising on optimal setup, architecture, and integration of Claude into the customer's existing infrastructure. Recommend solutions to technical roadblocks
  • Support customer onboarding by working cross-functionally to ensure successful ramp and adoption. Serve as an ongoing technical advisor throughout implementation and beyond go-live
  • Travel occasionally to customer sites for workshops, implementation support, and building relationships
  • Establish a shared vision for creating solutions that enable beneficial and safe AI
  • Lead the vision, strategy, and execution of innovative solutions that leverage our latest models’ capabilities

You may be a good fit if you have:

  • 5+ years of experience as a Forward Deployed Engineer, Sales Engineer or Solutions Architect
  • Designed novel and innovative solutions for technical platforms in a developing business area
  • Strong technical aptitude to partner with engineers and proficiency in software engineering
  • The ability to navigate and execute amidst ambiguity, and to flex into different domains based on the business problem at hand, finding simple, easy-to-understand solutions
  • Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities
  • A love of teaching, mentoring, and helping others succeed
  • Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders. You enjoy engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities
  • Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems

Annual Salary

  • The expected salary range for this position is $250k - $375k USD.
Hybrid policy & US visa sponsorship: Currently, we expect all staff to be in our office at least 25% of the time. We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate; operations roles are especially difficult to support. But if we make you an offer, we will make every effort to get you into the United States, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Compensation and Benefits*
Anthropic’s compensation package consists of three elements: salary, equity, and benefits. We are committed to pay fairness and aim for these three elements collectively to be highly competitive with market rates.
Equity - On top of this position's salary (listed above), equity will be a major component of the total compensation. We aim to offer higher-than-average equity compensation for a company of our size, and communicate equity amounts at the time of offer issuance.
Benefits - Benefits we offer include:
- Optional equity donation matching at a 3:1 ratio, up to 50% of your equity grant.
- Comprehensive health, dental, and vision insurance for you and all your dependents.
- 401(k) plan with 4% matching.
- 21 weeks of paid parental leave.
- Unlimited PTO – most staff take between 4-6 weeks each year, sometimes more!
- Stipends for education, home office improvements, commuting, and wellness.
- Fertility benefits via Carrot.
- Daily lunches and snacks in our office.
- Relocation support for those moving to the Bay Area.
* This compensation and benefits information is based on Anthropic’s good faith estimate for this position, in San Francisco, CA, as of the date of publication and may be modified in the future. The level of pay within the range will depend on a variety of job-related factors, including where you place on our internal performance ladders, which is based on factors including past work experience, relevant education, and performance on our interviews or in a work trial.
cohere.com Cohere
4 matching jobs
Who are we?
We’re a small, diverse team working at the cutting edge of machine learning. At Cohere, our mission is to build machines that understand the world and to make them safely accessible to all. Language is at the crux of this, but it can be difficult and expensive to parse the syntax, semantics, and context that all work together to give words meaning. The Cohere platform provides access to Large Language Models through its APIs that read billions of web pages and learns to understand the meaning, sentiment, and intent of the words we use in a richness never seen before.

We've raised our Series B, signed a multi-year partnership with Google Cloud, and we are focused on bringing our technology to market. We will partner with customers so they can build natural language understanding and generation into their products with just a few lines of code.

We’re ambitious — we believe our technology will fundamentally transform how industries interact with natural language. And we have the technical chops to back it up - Cohere’s CEO, Aidan Gomez, is a co-author of the groundbreaking paper “Attention is all you need”, and was previously part of Google Brain. Our entire technical team is world-class.

We are focused on creating a diverse and inclusive work environment so that all of our team members can thrive. We welcome kind and brilliant people to our team, from wherever they come.

link-out cohere.com
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AI Engineer
Tech – Forward Deployed Engineering
remote: New York City
added Mon Jul 03, 2023
link-outApply to Cohere
Why this role?
Forward Deployed Machine Learning Engineers (FDMLEs) work directly with customers to quickly understand their greatest problems and design and implement solutions using Large Language Models.
In this role, you’ll apply your problem-solving ability, creativity, and technical skills to close the last-mile gap in Enterprise AI adoption. You’ll be able to deliver products like early startup CTOs/CEOs do and disrupt some of the most important industries and institutions globally!
As an FDMLE, you will:
- Own and build large new areas within our product.
- Work across backend, frontend, and customize Large Language Models.
- Experiment at a high velocity and level of quality to engage our customers and eventually deliver solutions that exceed their expectations.
- Work across the entire product lifecycle from conceptualization through production.
The FDMLE career opportunity may be a good match for you if you have:
- 3+ years of model training, deployment, and maintenance in a production environment.
- Strong skills in NLP and deep learning.
- Experience scaling products at hyper-growth startup.
- Strong written and verbal communication skills.
- Ability and interest to travel up to 25%, as needed to client sites, but flexible based on personal preferences.
Nice to have skills/experiences:
- Experience improving LLM performance for custom domains via fine tuning or RLHF.
- Experience in Information Retrieval systems for document question answering.
- Experience in day-to-day NLP for industry using Python and related toolchains (SpaCy, HuggingFace, NLTK, etc.).
- Published research in areas of machine learning at major conferences and/or journals.
If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you consider yourself a thoughtful worker, a lifelong learner, and a kind and playful team member, Cohere is the place for you.
We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants of all kinds and are committed to providing an equal opportunity process. Cohere provides accessibility accommodations during the recruitment process. Should you require any accommodation, please let us know and we will work with you to meet your needs.
Our Perks:
🤝 An open and inclusive culture and work environment
🧑‍💻 Work closely with a team on the cutting edge of AI research
🍽 Free daily lunch
🦷 Full health and dental benefits, including a separate budget to take care of your mental health
🐣 100% Parental Leave top-up for 6 months for employees based in Canada, the US, and the UK
🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement
🏙 Remote-flexible, offices in Toronto, Palo Alto, and London and coworking stipend
✈️ 6 weeks of vacation
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AI Engineer
Tech – Forward Deployed Engineering
remote: San Francisco, CA
added Mon Jul 03, 2023
link-outApply to Cohere
Why this role?
Forward Deployed Machine Learning Engineers (FDMLEs) work directly with customers to quickly understand their greatest problems and design and implement solutions using Large Language Models.
In this role, you’ll apply your problem-solving ability, creativity, and technical skills to close the last-mile gap in Enterprise AI adoption. You’ll be able to deliver products like early startup CTOs/CEOs do and disrupt some of the most important industries and institutions globally!
As an FDMLE, you will:
- Own and build large new areas within our product.
- Work across backend, frontend, and customize Large Language Models.
- Experiment at a high velocity and level of quality to engage our customers and eventually deliver solutions that exceed their expectations.
- Work across the entire product lifecycle from conceptualization through production.
The FDMLE career opportunity may be a good match for you if you have:
- 3+ years of model training, deployment, and maintenance in a production environment.
- Strong skills in NLP and deep learning.
- Experience scaling products at hyper-growth startup.
- Strong written and verbal communication skills.
- Ability and interest to travel up to 25%, as needed to client sites, but flexible based on personal preferences.
Nice to have skills/experiences:
- Experience improving LLM performance for custom domains via fine tuning or RLHF.
- Experience in Information Retrieval systems for document question answering.
- Experience in day-to-day NLP for industry using Python and related toolchains (SpaCy, HuggingFace, NLTK, etc.).
- Published research in areas of machine learning at major conferences and/or journals.
If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you consider yourself a thoughtful worker, a lifelong learner, and a kind and playful team member, Cohere is the place for you.
We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants of all kinds and are committed to providing an equal opportunity process. Cohere provides accessibility accommodations during the recruitment process. Should you require any accommodation, please let us know and we will work with you to meet your needs.
Our Perks:
🤝 An open and inclusive culture and work environment
🧑‍💻 Work closely with a team on the cutting edge of AI research
🍽 Free daily lunch
🦷 Full health and dental benefits, including a separate budget to take care of your mental health
🐣 100% Parental Leave top-up for 6 months for employees based in Canada, the US, and the UK
🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement
🏙 Remote-flexible, offices in Toronto, Palo Alto, and London and coworking stipend
✈️ 6 weeks of vacation
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Engineering Manager, Forward Deployed Team
Tech – Forward Deployed Engineering
remote: London & San Francisco, CA
added Mon Jul 03, 2023
link-outApply to Cohere
Why this role?
Our Forward Deployed Team works directly with customers to quickly understand their greatest problems and design and implement solutions using Large Language Models.
In this role, you’ll apply your problem-solving ability, creativity, and technical skills to close the last-mile gap in Enterprise AI adoption. You’ll be able to deliver products like early startup CTOs/CEOs do and disrupt some of the most important industries and institutions globally!
As a Leader for the Forward Deployed team, you will:
- Own and build large new areas within our product and scale to millions of dollars of revenue impact.
- Lead a cross-functional team of Engineers, Machine Learning Engineers and AI Data Trainers.
- Work across backend, frontend, and customize Large Language Models.
- Experiment at a high velocity and level of quality to engage our customers and eventually deliver solutions that exceed their expectations.
- Work across the entire product lifecycle from conceptualization through production.
You might be a good fit if you have:
- 5+ years of experience building AI-backed products with millions of dollars of revenue impact.
- Experience with B2B Enterprise SaaS applications.
- Experience scaling products and teams at hyper-growth startups
- Strong written and verbal communication skills
- Ability and interest to travel up to 25%, as needed to client sites, but flexible based on personal preferences.
Nice to haves:
- Experience building LLM applications using tools such as Langchain.
- Experience with Information Retrieval Systems for document question answering.
- Experience in day-to-day NLP for the industry using Python and related toolchains (SpaCy, HuggingFace, NLTK, etc.).
If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you consider yourself a thoughtful worker, a lifelong learner, and a kind and playful team member, Cohere is the place for you.
We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants of all kinds and are committed to providing an equal opportunity process. Cohere provides accessibility accommodations during the recruitment process. Should you require any accommodation, please let us know and we will work with you to meet your needs.
Our Perks:
🤝 An open and inclusive culture and work environment
🧑‍💻 Work closely with a team on the cutting edge of AI research
🍽 Free daily lunch
🦷 Full health and dental benefits, including a separate budget to take care of your mental health
🐣 100% Parental Leave top-up for 6 months for employees based in Canada, the US, and the UK
🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement
🏙 Remote-flexible, offices in Toronto, Palo Alto, and London and coworking stipend
✈️ 6 weeks of vacation
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Full Stack Software Engineer, Forward Deployed Engineering
Tech – Forward Deployed Engineering
remote: San Francisco, CA
added Mon Jul 03, 2023
link-outApply to Cohere
Why this role?
Forward Deployed Engineers (FDEs) work directly with customers to quickly understand their greatest problems and design and implement solutions using Large Language Models.
In this role, you’ll apply your problem-solving ability, creativity, and technical skills to close the last-mile gap in Enterprise AI adoption. You’ll be able to deliver products like early startup CTOs/CEOs do and disrupt some of the most important industries and institutions globally!
As an FDE, you will:
- Own and build large new areas within our product.
- Work across the backend, frontend, and interact with Large Language Models.
- Experiment at a high velocity and level of quality to engage our customers and eventually deliver solutions that exceed their expectations.
- Work across the entire product lifecycle from conceptualization through production.
The FDE career opportunity may be a good match for you if you have:
- Proficiency in one or more of Go, Python, Node, React, Next.js
- Experience building ML infrastructure and AI-powered solutions.
- Experience scaling products at hyper-growth startups.
- Strong written and verbal communication skills.
- Ability and interest to travel up to 25%, as needed to client sites, but flexible based on personal preferences.
Nice to have skills/experiences:
- Experience building LLM applications using tools such as Langchain.
- Experience in Information Retrieval systems for document question answering.
- Experience in day-to-day NLP for the industry using Python and related toolchains (SpaCy, HuggingFace, NLTK, etc.).
If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you consider yourself a thoughtful worker, a lifelong learner, and a kind and playful team member, Cohere is the place for you.
We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants of all kinds and are committed to providing an equal opportunity process. Cohere provides accessibility accommodations during the recruitment process. Should you require any accommodation, please let us know and we will work with you to meet your needs.
Our Perks:
🤝 An open and inclusive culture and work environment
🧑‍💻 Work closely with a team on the cutting edge of AI research
🍽 Free daily lunch
🦷 Full health and dental benefits, including a separate budget to take care of your mental health
🐣 100% Parental Leave top-up for 6 months for employees based in Canada, the US, and the UK
🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement
🏙 Remote-flexible, offices in Toronto, Palo Alto, and London and coworking stipend
✈️ 6 weeks of vacation
deepgram.com Deepgram
1 matching job

Deepgram is a foundational AI company building state of the art, production-ready AI models that streamline human-computer interaction and amplify productivity. By enabling seamless communication between humans and machines, we believe we can harness the untapped potential of AI and help pave the way for a more productive future. We passionately believe in the potential of audio data to transform lives, businesses, and interactions across the globe - which is why Deepgram is trusted by well-respected companies like NASA, Twilio, Auth0, and Spotify to push the boundaries of what is possible in voice technology!

Backed by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, Deepgram has raised over $85 million in total funding after closing our Series B funding round last year. If you're looking to work on cutting-edge technology and make a significant impact in the AI industry, we'd love to hear from you!

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Forward Deployed Engineer
Engineering
remote
Salary range $150,000 - $200,000
added Tue Oct 24, 2023
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Opportunity:

Deepgram is looking to hire a Forward Deployed Engineer to support our customers, prospects, and community by delivering world-class deep learning solutions and using state-of-the-art A.I. techniques to automate support, where applicable . You will work closely with the other engineers, researchers, and our go-to-market teams to identify technologies, integrations, and workflows to streamline the support experience. Your work will help identify and solve fundamental customer issues by building automated solutions. By interacting with prospective and signed customers and support tickets directly, you’ll be able to create new training data and vet your automation tooling. You will triage immediate issues, problem-solve subtle and evasive bugs, and make product improvements to our production codebase to enhance the customer experience. You will be energized to engineer and build novel solutions to solve customer hurdles, advise on integration best practices and caveats, leverage technology to drive business value, and dive into a highly technical codebase.

What You’ll Do

  • Bring a highly technical and analytical view to solving customer challenges

  • Work with customers, prospects, and community members directly to understand their market and product needs

  • Employ your natural curiosity in building solutions for our clients

  • Use your strong development background to serve as the technical lead throughout throughout the sale process

  • Rapidly build working prototypes for customers while working across engineering, sales and marketing teams

  • Deploy best practices and educate customers to increase adoption with a highly technical product

You’ll Love This Role If You

  • Understand AI is here and are eager to use it for good

  • Thrive in providing technical leadership in a client focused environment

  • Are curious and eager to engineer custom end-to-end solutions that lead to future automation

  • Have a think smart, act first mindset (one of our core values)

  • Are excited to work with cutting-edge hardware and high-performance software stacks.

It’s Important To Us That You Have

  • Strong engineering background with proven proficiency in programming languages such as Python, Rust, and TypeScript/JavaScript

  • Ability to learn, digest and deploy technical solutions in a range of technical stacks

  • Experience delivering software demonstrations to audiences ranging from the C-suite, developers, and less-technical end-users

  • Proven experience solving problems with a critical focus

  • Proven experience building and supporting software products

It Would Be Great if You Had

  • An understanding of the processes involved in modern machine learning frameworks, e.g. PyTorch, ONNX, TensorRT, HuggingFace models

Deepgram is an equal opportunity employer. We want all voices and perspectives represented in our workforce. We are a curious bunch focused on collaboration and doing the right thing. We put our customers first, grow together and move quickly. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate.

We are happy to provide accommodations for applicants who need them.

$150K – $200K • Offers Equity • Offers Bonus
kumo.ai Kumo
1 matching job
The creation of the data warehouse emerged to solve the analytics problem over large amounts of data. Now, we’ve moved from megabytes to gigabytes to terabytes of data storage with no end in sight and companies invest millions of dollars to store and organize that data and only leverage a fraction of it for machine learning.
With Kumo, we are building the first data platform to seamlessly allow machine learning over data warehouses for faster, simpler, and smarter predictions to combat data waste and maximize data value. Query the future with Kumo.
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Forward Deployed Data Scientist
Engineering
hybrid: Mountain View
added Wed Sep 27, 2023
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As a Forward Deployed Data Scientist, you will partner with customers to discover, design, develop, and deploy solutions using Kumo’s technology. Ideal candidates have a strategic and analytical aptitude, software engineering expertise, and strong interpersonal skills.

The Value you will Add:

  • Educate current Kumo users on how to successfully use our product, best practices, etc. so that they increase usage across a larger number of internal workloads
  • Be a Kumo platform superuser - understand the product’s ins & out to solve customer problems
  • Generate Kumo platform educational materials for users and customers
  • Partner closely with our ML team to help drive customer success during the full customer lifecycle
  • Coach customers on how to maximize Kumo for their specific use cases with datasets. Helping customers with their business needs and internally collaborating with sales, engineering, and product team in the end-to-end process from ingesting their first datasets to successful POC contract signing
  • Create broader processes for each customer to go through to ensure we can drive repeatable successes for each contract
  • Develop methodologies to be shared with customers to help them understand the value delivered by Kumo to their organizations and explain this value to their internal stakeholders
  • Partner with our product and engineering team to relay and reconcile customer feedback, including uncovering causes of data and model accuracy issues, debugging backend issues, surfacing feature gaps, etc.
  • Increase awareness/interest in our Kumo platform amongst analyst-focused external communities/ecosystems, and drive our bottoms-up adoption which may include content generation/demos/webinars/follow-up with users' questions, etc.

Your Foundation:

  • 5+ years of relevant professional experience working with external customers in deploying new AI/ML PoCs into production for customers
  • Experience supporting the sales lifecycle
  • Where you were working in a consulting, forward-deployed engineer, customer solution where the AI/ML tools used are horizontal platforms
  • Hands-on troubleshooting experience helping customers resolve issues and working with engineering to test and deploy fixes to customers.
  • Knowledge of common analyst tools such as SQL-based Data Warehouses, DBT, BI tools such as Tableau, Looker
  • Familiarity with key predictive ML, ML Ops, etc. concepts, ideally from formal bachelor/graduate training
  • Self-starter, motivative who can demonstrate the ability to structure complex problems, develop solutions for external clients
  • Persuasive communication–the ability to present, speak, and demo well to customer stakeholders and convince them to partner with Kumo!
  • Experience with SaaS product development for enterprise customers

Benefits:

  • Stock
  • Competitive Salaries
  • Medical Insurance
  • Dental Insurance
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
scale.com Scale AI
1 matching job

At Scale, we believe that the transition from traditional software to AI is one of the most important shifts of our time. Our mission is to make that happen faster across every industry, and our team is transforming how machine learning can build innovative products. Our products provide access to human-powered data for hundreds of use cases and are used by industry leaders such as Open AI, Lyft, Meta, GM, Samsung, Airbnb, NVIDIA, and many more. We’ve recently raised $325 million in Series E funding at a valuation of $7B+ and are expanding our team to accelerate the development of AI applications.

link-out scale.com
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Forward Deployed Engineer, Sweden
Operations
hybrid: Sweden
added Thu Sep 21, 2023
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We’re looking for a Customer Engineer who is technical and excited to build solutions for our clients. The role is first and foremost an engineer and a builder who will maintain strong relationships with our technical clients and help scale their problems. This individual would also adapt a product mindset to have significant impact on our core product (NLP, 2D, and 3D labelling) while working on integrations and systems design for customers. The work will vary day to day, and we’re looking for technical experts who are excited to solve tough problems.

You will:

  • Solve hard problems and deploy solutions for our technical customers
  • Interact with customers on a day-to-day basis to understand their pain points and design solutions
  • Impact our product by integrating customer feedback directly to our product
  • Work cross-functionally with Customer Operations and Engineering team while independently driving key initiatives

Ideally you'd have:

  • Strong engineering background preferably in Computer Science, Mathematics, or other quantitative fields
  • Experience working with technical and nontechnical cross-functional partners and clients
  • At least a Bachelor’s degree (or equivalent) in a relevant field
  • Proficiency in languages such as Javascript, Python, or similar languages
  • Strong problem-solving mindset and attitude to solve ambiguous challenges

Nice to haves:

  • Experience in AI

We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.

We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's EEO poster and EEO poster supplement for additional information.

PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data.