Reviews by job title

111 reviews
5.0
6 Aug 2025

Great place to work

Recommend
CEO approval
Business outlook

Pros

I get to work on meaningful project and feature. The work life balance is great. The team I work with is wonderful and always there to help.

Cons

They enacted a return to office policy that has not been ideal. Product management does not always have a clear idea of new features. This leads to changes being made mid-program and blame getting put on developers for features not working correctly during development.

3.0
24 Jan 2026
Recommend
CEO approval
Business outlook

Pros

Mission-Driven Impact: You get the unique satisfaction of knowing your technical infrastructure directly supports technology that restores hearing and improves the quality of life for millions. • Innovation Hub: Because Starkey integrates AI and sensors into their hearing aids, IT engineers often work with sophisticated, modern stacks that bridge the gap between traditional enterprise IT and wearable tech. • Strong Local Culture: As a privately held company with deep roots in Minnesota, Starkey offers a stable, family-oriented environment that often feels more personal than a massive, faceless tech conglomerate.

Cons

Legacy Debt: Like many established manufacturing giants, you may encounter older legacy systems and "on-prem" hurdles that can slow down the deployment of more modern, cloud-native solutions. • Corporate Rigidity: Some employees report a traditional top-down management style, which can occasionally feel restrictive if you are used to the agile, flat autonomy found in Silicon Valley-style startups. • High-Pressure Environment: Given the precision required for medical devices and global distribution, the IT uptime requirements can lead to demanding "on-call" cycles and high-stress troubleshooting windows.

2.0
14 Mar 2024

Human Resources

Recommend
CEO approval
Business outlook

Pros

Good culture, okay recruiting manager and good benefits.

Cons

Lack of support from upper management for career path and growth.

3.0
25 Mar 2024

Meh

Anonymous employee
Recommend
CEO approval
Business outlook

Pros

Great management Depending on department, can be flexible

Cons

Unfair pay Non-flexible Too many kool aid drinkers

4.0
6 May 2024
Recommend
CEO approval
Business outlook

Pros

working with intelligent and caring engineers and clinical researchers on interesting projects.

Cons

Poor Management and poor training for new employees

3.0
7 Dec 2025

Too much management

Anonymous employee
Recommend
CEO approval
Business outlook

Pros

The work they do helps others. No weekends.

Cons

Very low raises. Minimal advancement opportunities. Top heavy. Constant restructurings.

2.0
25 Mar 2026
Recommend
CEO approval
Business outlook

Pros

1. Meaningful impact (this one is real) You’re not optimizing ad clicks—you’re directly improving quality of life. Hearing loss is deeply tied to cognitive decline, social isolation, and mental health Even small model improvements (noise suppression, speech enhancement, directionality) can have immediate human impact You actually see your work in a physical product used daily 2. End-to-end ownership The “you do everything” downside is also an upside: You touch research → model → embedded deployment → product 3. Stability & low volatility Not a hype-driven startup Less risk of layoffs compared to big tech cycles 4. Unique domain expertise You build skills that are: Hard to replicate elsewhere Valuable in: medical devices edge AI audio ML

Cons

1. “Old tech” is often accurate Legacy codebases (often C/C++ + DSP pipelines) Slow adoption of: modern deep learning stacks cloud-native infra Tooling can feel years behind companies like Google or Meta 2. Very slow execution speed Medical/device constraints + corporate structure = long cycles Shipping can take months (or longer) Many approvals, validations, compliance steps 3. Too many management layers Decision-making often: top-down slow sometimes disconnected from engineering reality 4. Lack of MLOps / DevOps culture This is a big one for ML engineers: No mature: CI/CD for models experiment tracking infra scalable pipelines You’re often expected to: train models deploy them optimize embedded inference manage infra yourself 5. Limited career growth (in many cases) Fewer: senior technical ladders cutting-edge ML teams Promotions can be: slow tenure-based rather than impact-based 6. Compensation gap Typically below: FAANG top-tier startups Especially noticeable for: senior ML engineers research-oriented roles

Viewing 1 - 3 of 111 Reviews

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